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        <description><![CDATA[Sitemap for LLMS Ninja]]></description>
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<title>DeepSeek-VL2: Open-Weight Model for Image and Document Understanding</title>
<link>https://llms.ninja/deepseek/models/deepseek-vl2</link>
<description><![CDATA[DeepSeek-VL2 is an open-weight vision-language model for OCR, visual question answering, document and chart analysis, and visual grounding.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:51:26 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:51:26 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-R1-Distill-Llama-8B for Local Math and Coding</title>
<link>https://llms.ninja/deepseek/models/deepseek-r1-distill-llama-8b</link>
<description><![CDATA[DeepSeek-R1-Distill-Llama-8B is an 8B open-weight reasoning model based on Llama 3.1 8B for local mathematics, coding, and technical text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:51:23 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:51:23 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Alibaba Cloud text-embedding-v4 for Multilingual Search and RAG</title>
<link>https://llms.ninja/qwen/models/text-embedding-v4</link>
<description><![CDATA[Learn how Alibaba Cloud text-embedding-v4 supports multilingual embeddings, configurable dimensions, dense and sparse vectors, RAG, search, pricing, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:51:12 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:51:12 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>QwQ-Plus: Alibaba’s Reasoning Model for Mathematics and Coding</title>
<link>https://llms.ninja/qwen/models/qwq-plus</link>
<description><![CDATA[QwQ-Plus is Alibaba Cloud’s Qwen2.5-based reasoning model for mathematics, coding, and complex analysis, with a 131K context window and a scheduled October 2026 shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:51:09 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:51:09 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3Guard-Stream-0.6B: Token-Level Safety Moderation</title>
<link>https://llms.ninja/qwen/models/qwen3guard-stream-0-6b</link>
<description><![CDATA[Qwen3Guard-Stream-0.6B is Alibaba Qwen's open-weight 0.6B classifier for real-time moderation of prompts and streaming language-model responses.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:50:55 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:50:55 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.7-Max for Long-Context Reasoning and Agent Workflows</title>
<link>https://llms.ninja/qwen/models/qwen3-7-max</link>
<description><![CDATA[Qwen3.7-Max is Alibaba Cloud’s text-only model for long-context reasoning, coding, function calling, structured outputs, and agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:50:49 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:50:49 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Plus-Character for Role-Playing and Virtual Characters</title>
<link>https://llms.ninja/qwen/models/qwen-plus-character</link>
<description><![CDATA[Explore Qwen-Plus-Character, Alibaba Cloud’s text model for consistent virtual characters, role-playing, empathetic dialogue, NPCs, and personalized conversations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:50:46 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:50:46 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Grok TTS: xAI’s Expressive Text-to-Speech Model</title>
<link>https://llms.ninja/xai/models/grok-tts</link>
<description><![CDATA[Grok TTS converts text into expressive multilingual speech with streaming, batch workflows, custom voices, multiple audio formats, and $15-per-million-character pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 02:50:43 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 08:50:43 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Forethought: AI Customer Support Automation and Agent Assistance</title>
<link>https://llms.ninja/tools/forethought</link>
<description><![CDATA[Learn how Forethought automates customer support, triages tickets, assists agents, analyzes conversations, integrates with help desks, and handles enterprise pricing and data.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:44:31 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:44:31 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Retell AI: AI Voice and Chat Agent Platform</title>
<link>https://llms.ninja/tools/retell-ai</link>
<description><![CDATA[Learn what Retell AI does, how its voice and chat agents work, pricing, integrations, deployment channels, use cases and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:44:23 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:44:23 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>MindStudio: AI Agent Builder and Workflow Automation</title>
<link>https://llms.ninja/tools/mindstudio</link>
<description><![CDATA[Learn how MindStudio builds custom AI agents and workflows with models, APIs, databases, schedules, webhooks, browser actions, and MCP deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:44:19 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:44:19 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>JanusFlow-1.3B: Open-Weight Image Understanding and Generation</title>
<link>https://llms.ninja/deepseek/models/janusflow-1-3b</link>
<description><![CDATA[Learn how DeepSeek JanusFlow-1.3B combines image understanding and 384×384 text-to-image generation for local multimodal experimentation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:43:41 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:43:40 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Janus-1.3B: DeepSeek’s Open-Weight Multimodal Model</title>
<link>https://llms.ninja/deepseek/models/janus-1-3b</link>
<description><![CDATA[DeepSeek Janus-1.3B combines image understanding, text generation, and text-to-image generation in a locally deployable 1.3B-parameter model.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:43:35 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:43:35 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-VL-1.3B-Base: Compact Open Vision-Language Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-vl-1-3b-base</link>
<description><![CDATA[DeepSeek-VL-1.3B-Base is a compact open-weight vision-language model for 384×384 image understanding, visual question answering, and text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:43:32 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:43:32 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V2.5 Open-Weight Model for Coding and General Language</title>
<link>https://llms.ninja/deepseek/models/deepseek-v2-5</link>
<description><![CDATA[DeepSeek-V2.5 is a 236B open-weight mixture-of-experts model for general language, coding, code completion, and self-hosted experimentation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:43:26 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:43:26 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-R1-Distill-Qwen-1.5B: Compact Local Reasoning Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-r1-distill-qwen-1-5b</link>
<description><![CDATA[DeepSeek-R1-Distill-Qwen-1.5B is a compact MIT-licensed reasoning model based on Qwen2.5-Math-1.5B for local inference and mathematics-focused applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:43:19 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:43:19 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-R1-Distill-Llama-70B Open-Weight Reasoning Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-r1-distill-llama-70b</link>
<description><![CDATA[Learn how DeepSeek-R1-Distill-Llama-70B performs, how its Llama 3.3 70B lineage affects deployment, and why it suits self-hosted reasoning and coding workloads.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:43:11 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:43:11 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-Prover-V2-671B: Open-Weight Lean 4 Theorem Proving</title>
<link>https://llms.ninja/deepseek/models/deepseek-prover-v2-671b</link>
<description><![CDATA[DeepSeek-Prover-V2-671B is DeepSeek's open-weight 671B model for Lean 4 theorem proving, formal mathematics, and verifier-checked proof generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:43:09 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:43:09 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Qwen3-ASR-0.6B: Compact Multilingual Speech Recognition</title>
<link>https://llms.ninja/qwen/models/qwen3-asr-0-6b</link>
<description><![CDATA[Qwen3-ASR-0.6B is an open-weight multilingual ASR model supporting 30 languages, 22 Chinese dialects, offline and streaming inference, and long-audio transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:52 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:52 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-ASR-1.7B: Open-Weight Multilingual Speech Recognition</title>
<link>https://llms.ninja/qwen/models/qwen3-asr-1-7b</link>
<description><![CDATA[Qwen3-ASR-1.7B is an Apache 2.0 open-weight ASR model for 30 languages and 22 Chinese dialects, with offline, streaming, and long-audio transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:49 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:49 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Tongyi Embedding Vision Flash for Multimodal Search</title>
<link>https://llms.ninja/qwen/models/tongyi-embedding-vision-flash</link>
<description><![CDATA[Explore Tongyi Embedding Vision Flash, Alibaba Cloud's fixed 768-dimensional model for text, image, video, and cross-modal retrieval.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:43 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:43 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3Guard-Stream-4B: Real-Time Streaming Safety Moderation</title>
<link>https://llms.ninja/qwen/models/qwen3guard-stream-4b</link>
<description><![CDATA[Learn how Qwen3Guard-Stream-4B classifies streamed prompts and responses as Safe, Unsafe, or Controversial across 119 languages and dialects.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:38 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:38 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.8-Flash-Next: Open-Weight Long-Context Multimodal Model</title>
<link>https://llms.ninja/qwen/models/qwen3-8-flash-next</link>
<description><![CDATA[Learn how Alibaba’s Qwen3.8-Flash-Next combines open weights, multimodal input, 262K context, MoE efficiency, coding, reasoning, and tool use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:34 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:34 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.6-Max-Preview: Long-Context Coding Model and Deprecation Date</title>
<link>https://llms.ninja/qwen/models/qwen3-6-max-preview</link>
<description><![CDATA[Evaluate Qwen3.6-Max-Preview for coding agents, long-context analysis, structured outputs, web search, pricing, limits, and its October 10, 2026 deprecation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:28 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:28 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-VL-Max for Complex Image and Video Understanding</title>
<link>https://llms.ninja/qwen/models/qwen-vl-max</link>
<description><![CDATA[Qwen-VL-Max analyzes text, images, and video with a 131K-token context window, structured outputs, regional pricing, and text-only responses.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:21 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:21 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Plus: Long-Context Text Model for Tools and Reasoning</title>
<link>https://llms.ninja/qwen/models/qwen-plus</link>
<description><![CDATA[Learn how Qwen-Plus balances reasoning, speed, cost, long-context text processing, structured outputs, function calling, and region-dependent web search.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:14 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:14 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Grok Voice Transcribe 2.0: Speech-to-Text Pricing and Features</title>
<link>https://llms.ninja/xai/models/grok-voice-transcribe-2-0</link>
<description><![CDATA[Grok Voice Transcribe 2.0 is xAI’s speech-to-text model for batch and real-time audio transcription, priced from $0.10 per hour with diarization, timestamps and multilingual support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:41:01 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:41:01 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok Imagine Video 1.5 Lite: Affordable Text-to-Video API</title>
<link>https://llms.ninja/xai/models/grok-imagine-video-1-5-lite</link>
<description><![CDATA[Learn how xAI's Grok Imagine Video 1.5 Lite generates video from text and images, with 480p to 1080p output, batch access, and per-second pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:40:58 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:40:58 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>TRIBE v2: Meta’s Model for Predicting Human Brain Responses</title>
<link>https://llms.ninja/meta-ai/models/tribe-v2</link>
<description><![CDATA[TRIBE v2 is Meta’s open-weight multimodal research model for predicting human fMRI responses to video, audio, and language stimuli.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:40:52 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:40:52 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>SAM Audio Judge: Reference-Free Audio Separation Evaluation</title>
<link>https://llms.ninja/meta-ai/models/sam-audio-judge</link>
<description><![CDATA[SAM Audio Judge evaluates separated audio against text targets using reference-free overall quality, recall, precision, and faithfulness scores.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:40:46 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:40:46 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>DINOv3: Meta AI’s Self-Supervised Vision Foundation Model</title>
<link>https://llms.ninja/meta-ai/models/dinov3</link>
<description><![CDATA[DINOv3 is Meta AI’s downloadable vision model suite for image embeddings and dense visual features used in retrieval, classification, segmentation, tracking, and geospatial analysis.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 8 October 2026 10:40:38 GMT</pubDate>
<lastmod>Thursday, 8 October 2026 04:40:38 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Qwen-Flash-Character for Fast, Low-Cost Role-Playing Dialogue</title>
<link>https://llms.ninja/qwen/models/qwen-flash-character</link>
<description><![CDATA[Qwen-Flash-Character is Alibaba Cloud's lightweight text model for consistent personas, virtual companions, game NPCs, role-playing, and low-cost interactive dialogue.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:23:11 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:23:11 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Flash: Fast Qwen3 Model for Long-Context Text Workloads</title>
<link>https://llms.ninja/qwen/models/qwen-flash</link>
<description><![CDATA[Learn how Qwen-Flash combines low-cost text generation, a 1-million-token context window, optional reasoning, structured outputs, and regional tool support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:23:04 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:23:04 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Bland AI: Enterprise Voice AI Phone Agents and Pricing</title>
<link>https://llms.ninja/tools/bland-ai</link>
<description><![CDATA[Learn how Bland AI builds inbound and outbound phone agents, supports call workflows and integrations, and prices usage for business and enterprise deployments.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:15:59 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:15:59 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Mistral Vibe: AI Work Assistant and Coding Agent</title>
<link>https://llms.ninja/tools/mistral-vibe</link>
<description><![CDATA[Learn how Mistral Vibe combines AI work assistance, web research, connected tools, agentic coding, remote sessions, pricing, and privacy controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:15:55 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:15:55 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>SeamlessM4T-Large v2: Open-Weight Multilingual Speech Translation</title>
<link>https://llms.ninja/meta-ai/models/seamlessm4t-large-v2</link>
<description><![CDATA[SeamlessM4T-Large v2 is Meta's 2.3B-parameter model for speech recognition, text and speech translation, and speech generation across broad language coverage.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:15:04 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:15:04 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>SAM 3D Objects: Meta’s Single-Image 3D Reconstruction Model</title>
<link>https://llms.ninja/meta-ai/models/sam-3d-objects</link>
<description><![CDATA[SAM 3D Objects reconstructs textured 3D geometry, pose, and layout from a single image and object mask.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:14:57 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:14:57 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Omnilingual wav2vec 2.0: Meta’s Multilingual Speech Encoder</title>
<link>https://llms.ninja/meta-ai/models/omnilingual-wav2vec-2-0</link>
<description><![CDATA[Learn how Meta’s Omnilingual wav2vec 2.0 turns 16 kHz audio into multilingual speech embeddings across 300M to 7B parameter variants.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:14:52 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:14:51 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>DeepSeek-Prover-V1.5-Base: Lean 4 Theorem-Proving Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-prover-v1-5-base</link>
<description><![CDATA[Learn how DeepSeek-Prover-V1.5-Base generates verifiable Lean 4 proofs, its 7B open-weight design, 4K context, benchmarks, deployment needs, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:14:20 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:14:20 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-Prover-V1.5-SFT: Open-Weight Lean 4 Proof Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-prover-v1-5-sft</link>
<description><![CDATA[DeepSeek-Prover-V1.5-SFT is a 7B open-weight model for generating and completing formally verified mathematical proofs in Lean 4.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:14:19 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:14:19 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-Prover-V1: Open-Weight Lean 4 Proof Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-prover-v1</link>
<description><![CDATA[DeepSeek-Prover-V1 is DeepSeek's 7B open-weight model for generating formally verifiable mathematical proofs in Lean 4.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:14:13 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:14:13 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-Coder-V2-Lite-Instruct: Open-Weight Coding Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-coder-v2-lite-instruct</link>
<description><![CDATA[DeepSeek-Coder-V2-Lite-Instruct is a 16B open-weight MoE coding model with 2.4B active parameters, a 128K context window, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:14:10 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:14:10 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-Coder-V2-Lite-Base for Open-Weight Code Completion</title>
<link>https://llms.ninja/deepseek/models/deepseek-coder-v2-lite-base</link>
<description><![CDATA[DeepSeek-Coder-V2-Lite-Base is a 16B open-weight MoE coding model with about 2.4B active parameters, 128K context, and fill-in-the-middle support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:14:07 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:14:06 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Qwen-Drive-1.0: Open Vision-Language Model for Autonomous Driving</title>
<link>https://llms.ninja/qwen/models/qwen-drive-1-0</link>
<description><![CDATA[Qwen-Drive-1.0 combines Qwen3.5-4B with 3D BEV perception, visual question answering, and future trajectory planning for autonomous-driving research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:13:11 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:13:11 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-AgentWorld-35B-A3B Review: Open-Weight Agent World Model</title>
<link>https://llms.ninja/qwen/models/qwen-agentworld-35b-a3b</link>
<description><![CDATA[Learn what Qwen-AgentWorld-35B-A3B does, how its 35B/3B MoE design and 262K context support agent simulation, and where its open-weight limits matter.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:13:00 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:13:00 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>multimodal-embedding-v1: Alibaba Cloud Multimodal Embeddings</title>
<link>https://llms.ninja/qwen/models/multimodal-embedding-v1</link>
<description><![CDATA[Explore Alibaba Cloud's multimodal-embedding-v1, a 1,024-dimensional model for text, image, and video retrieval, similarity search, clustering, and vector indexing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:12:42 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:12:42 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>SAM Audio: Meta’s Prompted Audio Separation Model</title>
<link>https://llms.ninja/meta-ai/models/sam-audio</link>
<description><![CDATA[Learn how Meta’s SAM Audio separates speech, music, instruments, and other sounds using text, visual, and temporal prompts.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:03:55 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:03:55 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Perception Encoder Audiovisual (PE-AV) Explained</title>
<link>https://llms.ninja/meta-ai/models/perception-encoder-audiovisual</link>
<description><![CDATA[Learn how Meta’s open PE-AV encoder aligns audio, video, audio-video, and text for retrieval, media indexing, and audiovisual perception.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:03:42 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:03:42 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Claude Sonnet 5.5: Anthropic’s Fast Coding and Long-Context Model</title>
<link>https://llms.ninja/anthropic/models/claude-sonnet-5-5</link>
<description><![CDATA[Claude Sonnet 5.5 combines fast latency, coding ability, a 1M-token context window, adaptive thinking, vision, tools, and $2/$10 per-million-token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 10:02:44 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 04:02:44 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Dust: AI Agent Workspace, Integrations and Workflow Automation</title>
<link>https://llms.ninja/tools/dust</link>
<description><![CDATA[Learn how Dust helps teams build company-connected AI agents, automate workflows, use integrations, collaborate in Pods, and manage enterprise AI access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 7 October 2026 03:02:42 GMT</pubDate>
<lastmod>Wednesday, 7 October 2026 09:02:42 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>IBM Granite TTM 1536-96-R2 Forecasting Model</title>
<link>https://llms.ninja/ibm/models/granite-ttm-1536-96-r2</link>
<description><![CDATA[IBM Granite TTM 1536-96-R2 is a compact multivariate forecasting model with 1,536 historical points of context and forecasts of up to 96 future points.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:27 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:54:27 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-TTM-R3: IBM’s Efficient Time-Series Forecasting Model</title>
<link>https://llms.ninja/ibm/models/granite-timeseries-ttm-r3</link>
<description><![CDATA[Learn how IBM Granite-TTM-R3 supports fast multivariate time-series forecasting, adaptation, probabilistic prediction, and CPU-friendly open-weight deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:12:39 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:54:24 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite TTM 512-96 R2 Time-Series Forecasting Model</title>
<link>https://llms.ninja/ibm/models/granite-ttm-512-96-r2</link>
<description><![CDATA[IBM Granite TTM 512-96 R2 is a compact TinyTimeMixer model for multivariate forecasting with 512 historical observations and up to 96 future points.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:21 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:54:21 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite Geospatial Biomass: IBM Satellite Biomass Model</title>
<link>https://llms.ninja/ibm/models/granite-geospatial-biomass</link>
<description><![CDATA[Granite Geospatial Biomass is IBM's open-weight model for estimating above-ground biomass from six-band Harmonized Landsat and Sentinel-2 imagery.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:13:22 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:53:10 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>EXAONE Path 1.5: Whole-Slide Digital Pathology AI</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-path-1-5</link>
<description><![CDATA[EXAONE Path 1.5 is LG AI Research's pathology model for whole-slide analysis, molecular subtyping, and EGFR mutation prediction research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:28 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:52:54 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>Protenix by ByteDance Seed: Open-Source Biomolecular Structure Prediction</title>
<link>https://llms.ninja/bytedance-seed/models/protenix</link>
<description><![CDATA[Learn how Protenix predicts biomolecular structures, which variants it offers, where it fits in ByteDance Seed’s AI-for-Science portfolio, and what its open-source deployment requires.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:22:53 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:52:51 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>IBM Granite Geospatial Land Surface Temperature Model</title>
<link>https://llms.ninja/ibm/models/granite-geospatial-land-surface-temperature</link>
<description><![CDATA[Explore IBM Granite Geospatial Land Surface Temperature, an open-weight model for 30-meter land surface temperature prediction, urban heat analysis, and temporal gap filling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:18:32 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:52:46 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite TimeSeries PatchTST-FM-r2 Zero-Shot Forecasting Guide</title>
<link>https://llms.ninja/ibm/models/granite-timeseries-patchtst-fm-r2</link>
<description><![CDATA[Learn how IBM Granite TimeSeries PatchTST-FM-r2 supports zero-shot forecasting, probabilistic prediction, and imputation with an 8,192-step context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:12:41 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:52:41 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>EXAONE-Path-2.0-rev-EGFR for EGFR Prediction</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-path-2-0-rev-egfr</link>
<description><![CDATA[EXAONE-Path-2.0-rev-EGFR analyzes lung adenocarcinoma whole-slide images and predicts EGFR mutation probability for pathology research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:31 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:52:32 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>IBM Granite TTM 1024-96-R2 for Multivariate Forecasting</title>
<link>https://llms.ninja/ibm/models/granite-ttm-1024-96-r2</link>
<description><![CDATA[Learn how IBM Granite TTM 1024-96-R2 forecasts up to 96 future time points from 1,024 historical observations per channel.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:24 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:51:03 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>EXAONE Path LUAD-EGFR Predictor for Whole-Slide EGFR Analysis</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-path-luad-egfr-predictor</link>
<description><![CDATA[Learn how LG AI Research's EXAONE Path LUAD-EGFR Predictor estimates EGFR mutation status from lung adenocarcinoma whole-slide images, including performance, hardware, access, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:26 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:58 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE Tabular: In-Context Classification and Regression</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-tabular</link>
<description><![CDATA[EXAONE Tabular is LG AI Research’s compact tabular foundation model for classification and regression using labeled examples instead of dataset-specific retraining.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:18 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:44 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>Granite TimeSeries FlowState R1: Open-Weight Forecasting</title>
<link>https://llms.ninja/ibm/models/granite-timeseries-flowstate-r1</link>
<description><![CDATA[Learn how IBM Granite TimeSeries FlowState R1 performs zero-shot probabilistic forecasting across sampling rates, including r1.1 limits, licensing, pricing, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:12:44 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:35 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>MolmoMotion-AR: Ai2 Model Overview and Verified Details</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmomotion-ar</link>
<description><![CDATA[Learn what is verified about MolmoMotion-AR, its Ai2 research context, and which capabilities, limits, pricing, and access details remain undocumented.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:25 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:24 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>NVIDIA FourCastNet Global AI Weather Forecasting Model</title>
<link>https://llms.ninja/nvidia/models/nvidia-fourcastnet</link>
<description><![CDATA[NVIDIA FourCastNet uses Spherical Fourier Neural Operators to predict 73 global weather variables on a 0.25-degree grid in six-hour steps.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:52 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:21 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>Cohere Rerank 4 Fast for Low-Latency Multilingual Search</title>
<link>https://llms.ninja/cohere/models/rerank-4-fast</link>
<description><![CDATA[Cohere Rerank 4 Fast is a multilingual reranking model for low-latency search and RAG pipelines, with a 32K-token context and structured-data support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:42:02 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:08 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>IBM Granite Geospatial Canopy Height Model for Satellite Mapping</title>
<link>https://llms.ninja/ibm/models/granite-geospatial-canopyheight</link>
<description><![CDATA[Explore IBM Granite's open-weight model for estimating vegetation and tree canopy height from six-band Harmonized Landsat and Sentinel-2 imagery.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:18:31 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:05 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Qwen3-Rerank for Multilingual Search and RAG Reranking</title>
<link>https://llms.ninja/qwen/models/qwen3-rerank</link>
<description><![CDATA[Qwen3-Rerank is Alibaba Cloud's multilingual text reranking model for search and RAG, with 500-document requests, 4,000-token items, and $0.10 per million input tokens in Singapore.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:34 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:50:03 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Granite Geospatial UKI: IBM’s UK and Ireland Satellite Model</title>
<link>https://llms.ninja/ibm/models/granite-geospatial-uki</link>
<description><![CDATA[Granite Geospatial UKI is IBM’s open-weight geospatial model for UK and Ireland satellite analysis, using HLS multispectral and Sentinel-1 SAR imagery.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:18:35 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:49:35 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>WildDet3D: Promptable Open-World 3D Detection</title>
<link>https://llms.ninja/allen-institute-for-ai/models/wilddet3d</link>
<description><![CDATA[WildDet3D is an open-weight Ai2 model that uses text, point, and 2D box prompts to predict 3D object boxes from a single RGB image.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:30 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:49:28 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>IBM Granite Geospatial WxC Downscaling Model</title>
<link>https://llms.ninja/ibm/models/granite-geospatial-wxc-downscaling</link>
<description><![CDATA[IBM Granite Geospatial WxC Downscaling is an open-weight Prithvi WxC-based model for increasing the resolution of weather and climate data.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:18:12 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:49:15 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>EXAONE Forecast for Finance 1.0: Financial Time-Series Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-forecast-for-finance-1-0</link>
<description><![CDATA[EXAONE Forecast for Finance 1.0 is LG AI Research's 202M-parameter model for zero-shot probabilistic forecasting of financial time series.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:12 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:48:52 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>Cohere Rerank Multilingual v3.0 for Cross-Language Search</title>
<link>https://llms.ninja/cohere/models/rerank-multilingual-v3-0</link>
<description><![CDATA[Learn how Cohere Rerank Multilingual v3.0 ranks multilingual documents and semi-structured data for search and RAG pipelines, including its 4,096-token limit and pricing model.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:42:09 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:48:34 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Llama Nemotron Rerank VL 1B v2 for Visual Document Retrieval</title>
<link>https://llms.ninja/nvidia/models/llama-nemotron-rerank-vl-1b-v2</link>
<description><![CDATA[Learn how NVIDIA’s Llama Nemotron Rerank VL 1B v2 scores text, document images, and image-text candidates for multimodal retrieval and RAG.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:05 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:48:23 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>HyperCLOVA X CLIP: NAVER Vision Encoder for Edge AI</title>
<link>https://llms.ninja/naver/models/hyperclova-x-clip</link>
<description><![CDATA[Learn what HyperCLOVA X CLIP does, how it fits into HyperCLOVA X SEED 4B, its image-encoding role, limitations, access status, and best use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:13:07 GMT</pubDate>
<lastmod>Monday, 5 October 2026 06:48:00 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>AI Action Output Models: Commands, Control and Tool Use</title>
<link>https://llms.ninja/models/by-type/action</link>
<description><![CDATA[Learn what AI action-output models produce, how robot control differs from tool calls, where they are used, and how to compare reliability, safety, and latency.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:57:35 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:41:11 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>Structured Output Models: JSON Schema, Uses, Limits, and Reliability</title>
<link>https://llms.ninja/models/by-type/structured-output</link>
<description><![CDATA[Learn how structured output models use schemas for reliable AI responses, how they differ from JSON mode and tools, and what limitations to evaluate.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:57:31 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:41:02 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>AI Music Output: What Music-Generating Models Produce</title>
<link>https://llms.ninja/models/by-type/music</link>
<description><![CDATA[Learn what AI music output means, what music models produce, how it differs from audio understanding, and how to compare generation systems.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:56:25 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:40:50 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>Speech Output in AI Models: TTS, Audio Generation, and Evaluation</title>
<link>https://llms.ninja/models/by-type/speech</link>
<description><![CDATA[Learn what speech output means in AI models, how TTS differs from transcription, and how to compare voices, formats, latency, quality, safety, and cost.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:56:22 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:40:45 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>AI Audio Output: What Models Generate and How to Compare Them</title>
<link>https://llms.ninja/models/by-type/audio</link>
<description><![CDATA[Learn what AI audio output means, how it differs from transcription and audio input, and how to compare TTS and realtime voice models.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:56:18 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:40:44 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>AI Video Output: Meaning, Uses, Limits, and Model Comparison</title>
<link>https://llms.ninja/models/by-type/video</link>
<description><![CDATA[Understand AI video output, including text-to-video, image-to-video, native audio, limitations, and the criteria that matter when comparing models.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:56:15 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:40:38 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>AI Image Output: Meaning, Uses, Limits, and Model Comparison</title>
<link>https://llms.ninja/models/by-type/image</link>
<description><![CDATA[Learn what AI image output means, how it differs from image input and tool calls, where it is useful, and how to compare image-generation models.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:56:13 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:40:32 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>Text Output AI Models: Meaning, Uses, Limits, and Evaluation</title>
<link>https://llms.ninja/models/by-type/text</link>
<description><![CDATA[Learn what text output means in AI models, how it differs from input and tool use, practical applications, limitations, and comparison criteria.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:55:54 GMT</pubDate>
<lastmod>Sunday, 4 October 2026 06:40:25 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>Multimodal Output in AI Models: Meaning, Uses and Limits</title>
<link>https://llms.ninja/models/by-type/multimodal-output</link>
<description><![CDATA[Learn what multimodal output means, how it differs from media understanding and tool calls, and what to compare when choosing an AI model.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 12:59:46 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 01:07:31 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>Molmo-7B-D-0924: Open Vision-Language Model for Image Understanding</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmo-7b-d-0924</link>
<description><![CDATA[Molmo-7B-D-0924 is Ai2's open-weight 7B vision-language model for image understanding, visual question answering, captioning, documents, charts, counting, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:19 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 12:17:54 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Poe: Multi-Model AI Chat, Custom Bots and Pricing</title>
<link>https://llms.ninja/tools/poe</link>
<description><![CDATA[Poe is multi-model AI chat platform, bringing third-party language, image, video, audio, coding, and user-created bots into one account and point-based usage system.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:08:07 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:22:04 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Llama Prompt Guard 2 86M: Multilingual Prompt-Attack Detection</title>
<link>https://llms.ninja/meta-ai/models/llama-prompt-guard-2-86m</link>
<description><![CDATA[Learn how Meta's Llama Prompt Guard 2 86M detects prompt injections and jailbreaks, including its 512-token limit, deployment options, access terms, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 3 October 2026 03:16:32 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:16:32 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama Prompt Guard 2 22M: Lightweight Prompt-Attack Detection</title>
<link>https://llms.ninja/meta-ai/models/llama-prompt-guard-2-22m</link>
<description><![CDATA[Learn how Meta's Llama Prompt Guard 2 22M detects prompt injections and jailbreaks, including its 512-token limit, performance, deployment options, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 3 October 2026 03:16:30 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:16:30 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama Guard 3-8B: Open-Weight LLM Safety Classifier</title>
<link>https://llms.ninja/meta-ai/models/llama-guard-3-8b</link>
<description><![CDATA[Learn how Meta’s Llama Guard 3-8B classifies unsafe prompts and responses across 14 hazard categories and eight languages for self-hosted LLM moderation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 3 October 2026 03:16:28 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:16:28 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama Guard 3-1B: Lightweight Local LLM Safety Classifier</title>
<link>https://llms.ninja/meta-ai/models/llama-guard-3-1b</link>
<description><![CDATA[Llama Guard 3-1B is Meta’s compact open-weight safety classifier for screening LLM prompts and responses across 13 hazard categories and eight languages.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 3 October 2026 03:16:12 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:16:12 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama Guard 3-11B-Vision: Multimodal Safety Model Review</title>
<link>https://llms.ninja/meta-ai/models/llama-guard-3-11b-vision</link>
<description><![CDATA[Learn how Meta’s Llama Guard 3-11B-Vision classifies image-and-text prompts, its limits, deployment model, pricing, and best use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 3 October 2026 03:16:10 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:16:10 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Meta AI Plans: Pricing, Features and Usage Limits</title>
<link>https://llms.ninja/meta-ai/plans</link>
<description><![CDATA[Compare Meta AI's free and paid plans, including pricing, features, model access, usage limits, premium tools and the separate Meta Model API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 3 October 2026 03:16:06 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:16:06 GMT</lastmod>
<category><![CDATA[meta-ai/plans]]></category>
</item>
<item>
<title>Meta AI Models: Compare Model Families and Capabilities</title>
<link>https://llms.ninja/meta-ai/models</link>
<description><![CDATA[Explore and compare Meta AI models, families, modalities, access methods, capabilities, and specifications across consumer, API, and open-weight offerings.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 3 October 2026 03:16:02 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 09:16:01 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>DeepSeek-V4.1-Flash: Fast Vision, Reasoning, and Low-Cost API Use</title>
<link>https://llms.ninja/deepseek/models/deepseek-v4-1-flash</link>
<description><![CDATA[DeepSeek-V4.1-Flash combines image understanding, a 1M-token context window, reasoning modes, tool calls, structured JSON, and low-cost API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:59:03 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:55:52 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Llama 3.2 11B Vision Instruct for Self-Hosted Image Understanding</title>
<link>https://llms.ninja/meta-ai/models/llama-3-2-11b-vision-instruct</link>
<description><![CDATA[Llama 3.2 11B Vision Instruct is Meta's open-weight vision-language model for image understanding, document analysis, visual reasoning, and self-hosted multimodal applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:21 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:54:42 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Muse Voice Transcribe 1.0: Real-Time Speech-to-Text</title>
<link>https://llms.ninja/meta-ai/models/muse-voice-transcribe-1-0</link>
<description><![CDATA[Muse Voice Transcribe 1.0 is Meta’s speech-to-text model for realtime and file transcription, with diarization, endpointing, biasing and 25 evaluated languages.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:59 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:35 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>SAM 3.1: Meta’s Model for Open-Vocabulary Segmentation and Tracking</title>
<link>https://llms.ninja/meta-ai/models/sam-3-1</link>
<description><![CDATA[SAM 3.1 is Meta’s computer-vision model for open-vocabulary object detection, pixel-level segmentation, and efficient multi-object video tracking.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:02 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:33 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Muse Spark 1.3: Meta’s Long-Context Model for Coding Agents</title>
<link>https://llms.ninja/meta-ai/models/muse-spark-1-3</link>
<description><![CDATA[Muse Spark 1.3 is Meta’s text-output multimodal model for long-context coding agents, tool use, and reasoning, with a 1M-token context and API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:42 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:29 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Muse Spark 1.2: Meta’s Long-Context Coding Model for AI Agents</title>
<link>https://llms.ninja/meta-ai/models/muse-spark-1-2</link>
<description><![CDATA[Learn how Meta Muse Spark 1.2 handles repository-scale coding, multimodal inputs, tool use, pricing, its 1M-token context, and its position behind Muse Spark 1.3.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:48 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:27 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Muse Spark 1.1: Meta’s Long-Context Multimodal Reasoning Model</title>
<link>https://llms.ninja/meta-ai/models/muse-spark-1-1</link>
<description><![CDATA[Muse Spark 1.1 is Meta’s multimodal reasoning model for agentic workflows, coding, computer use, tool calling, search grounding, and long-context applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:51 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:18 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Muse Image 1.0: Meta’s Agentic Image Generation Model</title>
<link>https://llms.ninja/meta-ai/models/muse-image-1-0</link>
<description><![CDATA[Muse Image 1.0 is Meta’s image model for generation, editing, composition, reference images, search-assisted workflows, and iterative visual refinement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:53 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:17 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Muse Glimmer: Meta’s Open-Weight Local Agent Model</title>
<link>https://llms.ninja/meta-ai/models/muse-glimmer</link>
<description><![CDATA[Muse Glimmer is Meta’s approximately 30B open-weight model for local agents, coding, tool use, image understanding, and long-context workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:04 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:13 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama 4 Scout: Meta’s Long-Context Multimodal Open-Weight Model</title>
<link>https://llms.ninja/meta-ai/models/llama-4-scout</link>
<description><![CDATA[Llama 4 Scout is Meta’s 17B-active multimodal open-weight model with image understanding, tool calling and a 10-million-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:07 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:10 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama 4 Maverick: Open-Weight Multimodal Model for Long Context</title>
<link>https://llms.ninja/meta-ai/models/llama-4-maverick</link>
<description><![CDATA[Llama 4 Maverick is Meta’s open-weight multimodal MoE model with 17B active parameters, 400B total parameters, image understanding, text generation, tool support, and a 1M-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:11 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:09 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama 3.3 70B Instruct: Open-Weight Model Guide</title>
<link>https://llms.ninja/meta-ai/models/llama-3-3-70b-instruct</link>
<description><![CDATA[Llama 3.3 70B Instruct is Meta’s open-weight 70B text model with a 128K context window, multilingual support, coding, reasoning and tool calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:16 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:06 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama 3.1 8B: Compact Open-Weight Model for Local AI</title>
<link>https://llms.ninja/meta-ai/models/llama-3-1-8b</link>
<description><![CDATA[Llama 3.1 8B is Meta's downloadable 8-billion-parameter base model with a 128K context window, multilingual text generation, fine-tuning support, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:23 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:04:02 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama 3.1 405B: Meta’s Open-Weight Reasoning and Coding Model</title>
<link>https://llms.ninja/meta-ai/models/llama-3-1-405b</link>
<description><![CDATA[Learn what Meta Llama 3.1 405B can do, including its 128K context, coding and reasoning capabilities, deployment requirements, licensing, pricing limits and best use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:26 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 08:03:48 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Wenxin Plans: Pricing, Features and AI Membership Options</title>
<link>https://llms.ninja/baidu/plans</link>
<description><![CDATA[Compare Wenxin's free and paid AI plans, including pricing, model access, premium tools, usage limits and the difference between subscriptions and API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:32 GMT</pubDate>
<lastmod>Saturday, 3 October 2026 07:02:43 GMT</lastmod>
<category><![CDATA[baidu/plans]]></category>
</item>
<item>
<title>Firecrawl: AI Web Scraping and Data Extraction API</title>
<link>https://llms.ninja/tools/firecrawl</link>
<description><![CDATA[Learn how Firecrawl searches, scrapes, crawls, parses, monitors, and extracts structured data from websites and documents for AI workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 1 October 2026 09:39:10 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:49:33 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>What Are Structured Outputs in AI? How They Work</title>
<link>https://llms.ninja/learn/structured-outputs</link>
<description><![CDATA[Learn how structured outputs use schemas to make AI responses easier for software to consume, and why valid structure does not guarantee accuracy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:31:52 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:21:49 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>Profound: AI Search Visibility and Marketing Platform</title>
<link>https://llms.ninja/tools/profound</link>
<description><![CDATA[Learn how Profound tracks AI search visibility, citations, competitors, prompt demand, crawler activity, and marketing workflows, including trial limits and enterprise access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:06 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:12:59 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>AI Tools by Category: Find the Best AI Tools for Every Task</title>
<link>https://llms.ninja/tools/by-category</link>
<description><![CDATA[Browse AI tools by category, including chatbots, research, writing, image and video generation, voice, coding, marketing, automation, sales, and education.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:05:26 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:10:51 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Translation Tools: Features, Workflows, Pricing, and Limits</title>
<link>https://llms.ninja/tools/by-category/translation</link>
<description><![CDATA[Compare AI translation tools by language coverage, quality, document support, glossaries, integrations, pricing, privacy, and human-review requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:17 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:08:57 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Competitor Analysis Tools: Uses, Features and Limitations</title>
<link>https://llms.ninja/tools/by-category/competitor-analysis</link>
<description><![CDATA[Learn what AI competitor analysis tools do, who uses them, key features to compare, common limitations, pricing models and related AI tool categories.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:41 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:08:26 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Advertising Tools: Uses, Features, Pricing, and Limitations</title>
<link>https://llms.ninja/tools/by-category/advertising</link>
<description><![CDATA[Learn what AI advertising tools do, how campaign automation works, which features matter, common pricing models, limitations, and key data considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:43 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:07:55 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Document Creation Tools: Uses, Features, and Limitations</title>
<link>https://llms.ninja/tools/by-category/document-creation</link>
<description><![CDATA[Learn what AI document-creation tools do, who they help, and how to compare drafting, source grounding, formatting, privacy, pricing, and review features.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:12:04 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:07:34 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>Deep Research AI Tools: Features, Uses, Limits and Privacy</title>
<link>https://llms.ninja/tools/by-category/deep-research</link>
<description><![CDATA[Understand deep research AI tools, including workflows, source controls, citations, document support, usage limits, security issues, and differences from AI search.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:27 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:07:08 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Tools Directory: Find AI Software and Apps by Category</title>
<link>https://llms.ninja/tools</link>
<description><![CDATA[Explore AI tools by category, including assistants, research, writing, automation, coding, image, video, voice, translation and marketing tools.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:24:42 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:06:46 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>GPTZero: AI Detector, Writing Replay, and Authorship Analysis</title>
<link>https://llms.ninja/tools/gptzero</link>
<description><![CDATA[Learn what GPTZero does, how its AI detection and Writing Replay work, who it is for, pricing structure, integrations, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:30 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:05:12 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Ollama: Local AI Models, APIs, Features and Pricing</title>
<link>https://llms.ninja/tools/ollama</link>
<description><![CDATA[Learn how Ollama runs open AI models locally, supports APIs and coding workflows, offers cloud access, and handles pricing, privacy, platforms, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:15 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:04:26 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>LALAL.AI: AI Audio Separation, Voice Cleaning and Stem Splitting</title>
<link>https://llms.ninja/tools/lalal-ai</link>
<description><![CDATA[Learn how LALAL.AI separates stems, removes vocals, cleans recordings, transforms voices, handles pricing, and fits music and audio workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:32 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:04:08 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Aider: AI Pair Programming and Git-Based Code Editing</title>
<link>https://llms.ninja/tools/aider</link>
<description><![CDATA[Aider is an open-source terminal AI coding assistant for repository-aware edits, Git workflows, testing, linting, and flexible cloud or local models.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:25 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:03:28 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>QuillBot: AI Writing, Paraphrasing, and Editing Tools</title>
<link>https://llms.ninja/tools/quillbot</link>
<description><![CDATA[Learn what QuillBot does, how its paraphrasing and writing tools work, its pricing and limits, supported platforms, privacy controls, and main use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:43 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:03:08 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Chatbase: AI Customer Support and Sales Agent Platform</title>
<link>https://llms.ninja/tools/chatbase</link>
<description><![CDATA[Learn how Chatbase builds knowledge-grounded support and sales agents, connects business workflows, deploys across channels, and prices usage.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:28 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:02:44 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Framer: AI Website Builder, Design, CMS and Pricing</title>
<link>https://llms.ninja/tools/framer</link>
<description><![CDATA[Learn how Framer combines AI-assisted website design, CMS, hosting, SEO, localization, analytics, collaboration, pricing, and publishing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:26 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:02:35 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Khanmigo: AI Tutor and Teaching Assistant</title>
<link>https://llms.ninja/tools/khanmigo</link>
<description><![CDATA[Khanmigo is Khan Academy's AI tutor and teaching assistant for guided learning, lesson planning, assessments, writing support, and classroom workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:35 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:02:02 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Surfer: AI Visibility and SEO Content Optimization</title>
<link>https://llms.ninja/tools/surfer</link>
<description><![CDATA[Learn how Surfer combines SERP-based content optimization, AI article writing, audits, and AI-search visibility tracking, with pricing and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:01 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:01:45 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Using AI to Practice Public Speaking</title>
<link>https://llms.ninja/use-cases/practicing-public-speaking</link>
<description><![CDATA[Learn how to use AI for speech rehearsal, delivery feedback, mock questions, pacing, filler words, and confidence-building without replacing human review.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:06 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 03:00:47 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI to Analyze Customer Feedback</title>
<link>https://llms.ninja/use-cases/analyzing-customer-feedback</link>
<description><![CDATA[Learn how to use AI to classify, summarize, cluster, and analyze customer feedback while preserving evidence, privacy, and human review.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:22 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:59:51 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI to Debug Code: A Practical Guide</title>
<link>https://llms.ninja/use-cases/using-ai-to-debug-code</link>
<description><![CDATA[Learn how to use AI to analyze errors, trace bugs, generate tests, propose patches, and verify code without blindly trusting the result.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:12 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:59:14 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Designing a Website With AI: Planning, Building, and Testing</title>
<link>https://llms.ninja/use-cases/designing-a-website-with-ai</link>
<description><![CDATA[Learn how AI can help plan, design, code, test, and maintain a website, plus what to provide and what to review before launch.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:02 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:40:15 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Google AI Studio vs OpenAI Playground: Key Differences</title>
<link>https://llms.ninja/compare/google-ai-studio-vs-openai-playground</link>
<description><![CDATA[Compare Google AI Studio and OpenAI Playground for prompts, multimodal testing, tools, evaluations, pricing access, privacy, and production workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:02:54 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:39:18 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>ChatGPT vs Gemini: Features, Pricing, Ecosystem, and APIs</title>
<link>https://llms.ninja/compare/chatgpt-vs-gemini</link>
<description><![CDATA[Compare ChatGPT and Gemini across writing, research, coding, files, integrations, pricing, privacy, subscriptions, and developer APIs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:03:50 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:38:01 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Yi-Vision Review: Open-Weight Image Understanding by 01.AI</title>
<link>https://llms.ninja/01-ai/models/yi-vision</link>
<description><![CDATA[Learn what Yi-Vision and its Yi-VL-6B and Yi-VL-34B models support, including image inputs, 4,096-token context, pricing, strengths and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:27:34 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:35:18 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>GPT-5.2 Pro: Features, Pricing, Context Window and API Status</title>
<link>https://llms.ninja/openai/models/gpt-5-2-pro</link>
<description><![CDATA[GPT-5.2 Pro is OpenAI's previous professional reasoning model with a 400K context window, image input, function calling and Responses API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:10 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:33:13 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.4 Pro: Pricing, Context Window, Tools and API Features</title>
<link>https://llms.ninja/openai/models/gpt-5-4-pro</link>
<description><![CDATA[GPT-5.4 Pro offers high-compute reasoning, a 1.05M-token context window, 128K output tokens, image input, web search, computer use and Responses API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:38:39 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:33:05 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Using AI to Automate Repetitive Tasks</title>
<link>https://llms.ninja/use-cases/automating-repetitive-tasks</link>
<description><![CDATA[Learn how to use AI for repetitive tasks such as sorting messages, extracting data, drafting replies, and routing work with practical review steps.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:31 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 02:27:04 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>PlayAI: AI Voice Generation, Cloning and Audio Production</title>
<link>https://llms.ninja/tools/playai</link>
<description><![CDATA[Learn how PlayAI, presented through PlayHT, handles text-to-speech, voice cloning, dubbing, transcription, pricing, API access, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:30 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 07:26:55 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Moonshot AI: Kimi Features, Free Access, Plans, and Privacy</title>
<link>https://llms.ninja/moonshot-ai</link>
<description><![CDATA[Learn what Moonshot AI and Kimi offer, including free access, memberships, research, document tools, coding, creative features, developer APIs, and privacy limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:12 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 07:06:21 GMT</lastmod>
<category><![CDATA[moonshot-ai]]></category>
</item>
<item>
<title>Anthropic and Claude: Features, Free Access, Plans and Uses</title>
<link>https://llms.ninja/anthropic</link>
<description><![CDATA[Learn what Anthropic and Claude offer, including free access, paid plans, writing, coding, research, document analysis, artifacts, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:13:37 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 06:42:21 GMT</lastmod>
<category><![CDATA[anthropic]]></category>
</item>
<item>
<title>AI Model Output Types Explained: Text, Image, Audio and More</title>
<link>https://llms.ninja/models/by-type</link>
<description><![CDATA[Learn how AI model output types differ, from text and images to embeddings, structured data, actions, and native multimodal results.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:55:45 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 06:36:18 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>LLMS Ninja Articles Hub: Learn AI and LLM Concepts</title>
<link>https://llms.ninja/articles</link>
<description><![CDATA[Explore educational articles on AI and LLMs, including how language models work, prompting, evaluation, and developer workflows with tools and APIs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Thursday, 1 October 2026 11:24:55 GMT</pubDate>
<lastmod>Thursday, 1 October 2026 05:24:55 GMT</lastmod>
<category><![CDATA[articles]]></category>
</item>
<item>
<title>Compare AI Products, Models, APIs and Technologies</title>
<link>https://llms.ninja/compare</link>
<description><![CDATA[Explore side-by-side AI comparisons covering capabilities, tradeoffs, pricing, access, workflows and practical fit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:31:38 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 12:42:01 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Learn AI, LLMs, Models, APIs and AI Technologies</title>
<link>https://llms.ninja/learn</link>
<description><![CDATA[Explore clear guides explaining artificial intelligence, language models, APIs, prompting, model capabilities, tools, techniques and emerging AI technologies.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:31:43 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:52:56 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>AI Use Cases: Practical Ways to Use Large Language Models</title>
<link>https://llms.ninja/use-cases</link>
<description><![CDATA[Discover practical AI use cases for work, study, creativity, research, planning, coding, automation and everyday tasks.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:37 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:48:04 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>AI Models Directory: Explore Models by Provider, Type, and Use</title>
<link>https://llms.ninja/models</link>
<description><![CDATA[Explore AI models from leading providers by capability, output type, use case, and access method with the LLMS Ninja model directory.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:40:12 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:40:12 GMT</lastmod>
<category><![CDATA[models]]></category>
</item>
<item>
<title>The Modern AI Ecosystem: Models, Providers, Tools and APIs</title>
<link>https://llms.ninja/</link>
<description><![CDATA[Learn how AI providers, models, APIs, tools and plans fit together, what modern AI can do, how to compare options and how to use AI effectively.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:33:00 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:38:05 GMT</lastmod>
<category><![CDATA[]]></category>
</item>
<item>
<title>Free AI Plans Compared: Best Services, Features and Limits</title>
<link>https://llms.ninja/free-ai-plans</link>
<description><![CDATA[Compare the best free AI plans for chat, research, writing, coding, files, images and voice. Learn which services are genuinely free and how their limits work.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:47 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:32:47 GMT</lastmod>
<category><![CDATA[]]></category>
</item>
<item>
<title>How AI API Rate Limits Work: RPM, TPM, 429 Errors and Retries</title>
<link>https://llms.ninja/learn/ai-api-rate-limits</link>
<description><![CDATA[Learn how AI API rate limits measure requests, tokens, concurrency and quotas, and how to handle HTTP 429 errors with pacing and backoff.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:34 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:32:34 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>What Are Multimodal AI Models? How They Work and Their Limits</title>
<link>https://llms.ninja/learn/multimodal-ai-models</link>
<description><![CDATA[Learn what multimodal AI models are, how they connect text, images, audio, and video, and what capabilities and limitations to expect.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:29 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:32:29 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>Cloud AI vs. Local AI Models: Privacy, Cost, Speed, and Tradeoffs</title>
<link>https://llms.ninja/learn/cloud-vs-local-ai</link>
<description><![CDATA[Learn how cloud and local AI models differ, including inference location, privacy, hardware, cost, speed, maintenance, and hybrid deployments.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:19 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:32:19 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>What Is Model Quantization? Weights, Precision, Benefits and Tradeoffs</title>
<link>https://llms.ninja/learn/model-quantization</link>
<description><![CDATA[Learn how model quantization uses lower-precision values to reduce AI model memory and storage, and understand its accuracy and hardware tradeoffs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:11 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:32:11 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>What Is AI Model Evaluation? How AI Systems Are Tested</title>
<link>https://llms.ninja/learn/ai-model-evaluation</link>
<description><![CDATA[Learn what AI model evaluation is, how tests are designed and scored, and why benchmark results differ from real-world application performance.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:06 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:32:06 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>How Prompt Caching Works in LLMs</title>
<link>https://llms.ninja/learn/prompt-caching</link>
<description><![CDATA[Learn how prompt caching reuses computation for repeated LLM prompt prefixes, improving latency and input-processing efficiency without reusing answers.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:32:01 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:32:01 GMT</lastmod>
<category><![CDATA[learn]]></category>
</item>
<item>
<title>AI APIs Directory: Compare Models, Pricing and Developer Access</title>
<link>https://llms.ninja/api</link>
<description><![CDATA[Explore and compare AI APIs from multiple providers by models, modalities, pricing, context, rate limits, SDKs, tools and developer features.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:31:33 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:31:33 GMT</lastmod>
<category><![CDATA[api]]></category>
</item>
<item>
<title>AI Plans and Pricing: Compare Free and Paid AI Plans</title>
<link>https://llms.ninja/plans</link>
<description><![CDATA[Compare consumer AI plans and pricing from leading providers, including free tiers, paid subscriptions, features, limits, and best-use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:31:24 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:31:24 GMT</lastmod>
<category><![CDATA[plans]]></category>
</item>
<item>
<title>AI Providers Explained: Models, APIs, Pricing, Privacy, and Choice</title>
<link>https://llms.ninja/providers</link>
<description><![CDATA[Understand how AI providers differ from models, products, APIs, hosts, and aggregators, and learn how to compare pricing, capabilities, privacy, deployment, and reliability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:31:17 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:31:17 GMT</lastmod>
<category><![CDATA[providers]]></category>
</item>
<item>
<title>Search LLMS Ninja | AI Models, Tools, Plans and Guides</title>
<link>https://llms.ninja/search</link>
<description><![CDATA[Search LLMS Ninja for AI models, tools, providers, plans, APIs, comparisons, use cases, guides and related information.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 05:30:04 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 11:30:04 GMT</lastmod>
<category><![CDATA[]]></category>
</item>
<item>
<title>01.AI Models: Yi Language, Vision and Enterprise AI Models</title>
<link>https://llms.ninja/01-ai/models</link>
<description><![CDATA[Explore and compare 01.AI models, including Yi language and vision families, coding and reasoning capabilities, tool use, API access, and deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:44:36 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 08:02:44 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Creating Product Photos With AI: Practical Workflow and Tips</title>
<link>https://llms.ninja/use-cases/creating-product-photos-with-ai</link>
<description><![CDATA[Learn how to use AI to create product photo variations, replace backgrounds, build lifestyle scenes, and check images for commercial accuracy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:50 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:04:50 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI for Game Development: Prototypes, Code, Assets, and Testing</title>
<link>https://llms.ninja/use-cases/creating-a-game</link>
<description><![CDATA[Learn how to use AI for game design, coding, assets, procedural content, testing, and prototypes while managing quality, security, privacy, and rights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:23 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:04:23 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI to Plan a Home Improvement Project</title>
<link>https://llms.ninja/use-cases/planning-home-improvement-projects</link>
<description><![CDATA[Learn how to use AI to organize renovation ideas, analyze photos and estimates, create project checklists, and prepare for contractors safely.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:22 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:04:21 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Creating Music With AI: Songs, Demos, Prompts, and Practical Tips</title>
<link>https://llms.ninja/use-cases/creating-music-with-ai</link>
<description><![CDATA[Learn how to use AI to create songs, demos, instrumentals, soundtracks, and arrangements while improving results and checking rights, quality, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:18 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:04:17 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Writing Emails With AI: Draft, Rewrite, and Review Messages</title>
<link>https://llms.ninja/use-cases/writing-emails-with-ai</link>
<description><![CDATA[Learn how to use AI to draft, rewrite, summarize, and improve emails while checking facts, tone, privacy, and important details yourself.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:15 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:04:15 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI for Meal Planning: Menus, Shopping Lists, and More</title>
<link>https://llms.ninja/use-cases/meal-planning</link>
<description><![CDATA[Learn how to use AI to create practical meal plans, shopping lists, and preparation schedules while checking allergens, quantities, freshness, and safety.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:06 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:04:06 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI to Understand Long Documents</title>
<link>https://llms.ninja/use-cases/understanding-long-documents</link>
<description><![CDATA[Learn how to use AI to summarize, search, explain, compare, and extract information from long documents while checking results against the source.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:04:04 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:04:04 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Hugging Face Inference Endpoints vs Replicate</title>
<link>https://llms.ninja/compare/hugging-face-inference-endpoints-vs-replicate</link>
<description><![CDATA[Compare Hugging Face Inference Endpoints and Replicate for model deployment, APIs, customization, scaling, pricing, and production workloads.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:03:56 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:03:56 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Perplexity vs ChatGPT: AI Search and Assistant Compared</title>
<link>https://llms.ninja/compare/perplexity-vs-chatgpt</link>
<description><![CDATA[Compare Perplexity and ChatGPT for web research, citations, writing, analysis, workflows, and choosing the right AI assistant for your needs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:03:52 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:03:52 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Local LLMs vs Cloud LLMs: Privacy, Cost, Capability and Scale</title>
<link>https://llms.ninja/compare/local-llms-vs-cloud-llms</link>
<description><![CDATA[Compare local and cloud LLMs across privacy, capability, cost, speed, maintenance, offline use, scalability, and the case for hybrid deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:03:47 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:03:47 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>RAG vs Fine-Tuning: Key Differences and Use Cases</title>
<link>https://llms.ninja/compare/rag-vs-fine-tuning</link>
<description><![CDATA[Compare RAG and fine-tuning to understand how they differ, when each approach fits, and whether your AI system needs one or both.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:03:45 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:03:45 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Midjourney vs Adobe Firefly: Features, Workflow and Access</title>
<link>https://llms.ninja/compare/midjourney-vs-adobe-firefly</link>
<description><![CDATA[Compare Midjourney and Adobe Firefly for image creation, editing, video, privacy, pricing models, Adobe integration, APIs, and creative workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:03:43 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:03:43 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Ollama vs LM Studio: Local AI Tools Compared</title>
<link>https://llms.ninja/compare/ollama-vs-lm-studio</link>
<description><![CDATA[Compare Ollama and LM Studio for local model running, APIs, model management, runtime controls, automation, desktop use, and deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:03:41 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:03:41 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>ChatGPT vs Claude: Features, Workflows, Plans, and APIs</title>
<link>https://llms.ninja/compare/chatgpt-vs-claude</link>
<description><![CDATA[Compare ChatGPT and Claude for writing, research, coding, documents, multimodal work, plans, privacy, and API use without assuming one universal winner.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:02:06 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:02:06 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>NotebookLM vs Claude for Document Research</title>
<link>https://llms.ninja/compare/notebooklm-vs-claude-for-document-research</link>
<description><![CDATA[Compare NotebookLM and Claude for source-grounded document research, citations, web research, project workflows, and flexible outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:56 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:56 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>OpenAI API vs Anthropic API: Capabilities, Pricing and Use Cases</title>
<link>https://llms.ninja/compare/openai-api-vs-anthropic-api</link>
<description><![CDATA[Compare OpenAI API and Anthropic API for models, tools, multimodal output, pricing, privacy, context, deployment, and production use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:54 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:54 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Cursor vs GitHub Copilot: Editor, Agents, Pricing and Workflow</title>
<link>https://llms.ninja/compare/cursor-vs-github-copilot</link>
<description><![CDATA[Compare Cursor and GitHub Copilot across editor experience, coding agents, model choice, GitHub integration, pricing, usage limits, privacy, and teams.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:51 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:51 GMT</lastmod>
<category><![CDATA[compare]]></category>
</item>
<item>
<title>Creating Presentations With AI: A Practical Guide</title>
<link>https://llms.ninja/use-cases/creating-presentations</link>
<description><![CDATA[Learn how to use AI to outline, draft, design, edit, and rehearse presentations while checking facts, visuals, accessibility, privacy, and audience fit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:49 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:49 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI to Analyze Spreadsheets</title>
<link>https://llms.ninja/use-cases/ai-spreadsheet-analysis</link>
<description><![CDATA[Learn how AI can analyze spreadsheet data, generate formulas and charts, find errors, support summaries, and produce results that still need review.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:49 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:49 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI for Language Learning: Practice, Feedback, and Tips</title>
<link>https://llms.ninja/use-cases/language-learning</link>
<description><![CDATA[Learn how to use AI for conversation practice, vocabulary, grammar, writing, pronunciation, translation, and personalized language study.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:45 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:45 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>AI for Interview Preparation: Practice Questions and Answers</title>
<link>https://llms.ninja/use-cases/ai-for-interview-preparation</link>
<description><![CDATA[Learn how to use AI to research a role, practice mock interviews, improve answers, prepare for technical questions, and review feedback safely.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:38 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:38 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI to Plan a Trip: Itineraries, Research, and Tips</title>
<link>https://llms.ninja/use-cases/using-ai-to-plan-a-trip</link>
<description><![CDATA[Learn how to use AI to draft itineraries, compare destinations, organize travel plans, and check important details before you book.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:36 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:36 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>AI for Resume Writing: Draft, Tailor, and Check Your Resume</title>
<link>https://llms.ninja/use-cases/writing-resumes-with-ai</link>
<description><![CDATA[Learn how to use AI to organize experience, write truthful resume bullets, tailor applications to job descriptions, and check the final document.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:33 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:33 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>How to Use AI for Studying: Quizzes, Explanations, and Feedback</title>
<link>https://llms.ninja/use-cases/ai-for-studying</link>
<description><![CDATA[Learn how to use AI for explanations, practice questions, feedback, spaced review, and study planning while checking accuracy and following course rules.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:28 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:28 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Creating Logos With AI: A Practical Guide</title>
<link>https://llms.ninja/use-cases/creating-logos-with-ai</link>
<description><![CDATA[Learn how to use AI to explore logo ideas, refine symbols and typography, choose suitable tools, and check a logo before using it.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:14 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:14 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Creating Videos With AI: A Practical Guide</title>
<link>https://llms.ninja/use-cases/creating-videos-with-ai</link>
<description><![CDATA[Learn how to use AI for video scripts, generated scenes, editing, captions, and repurposing while keeping quality and accuracy under control.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:11 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:11 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Creating Image Descriptions With AI</title>
<link>https://llms.ninja/use-cases/creating-image-descriptions</link>
<description><![CDATA[Learn how to use AI for captions, alt text, OCR, image metadata, and visual questions while checking accuracy, context, privacy, and accessibility.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:01:08 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:01:08 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>Using AI to Build a Personal Budget</title>
<link>https://llms.ninja/use-cases/building-a-personal-budget</link>
<description><![CDATA[Learn how to use AI to organize transactions, categorize expenses, model savings scenarios, and build a budget while protecting your financial data.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:46 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:46 GMT</lastmod>
<category><![CDATA[use-cases]]></category>
</item>
<item>
<title>AI Education Tools: Uses, Features, Pricing, and Limitations</title>
<link>https://llms.ninja/tools/by-category/education</link>
<description><![CDATA[Learn what AI education tools do, who uses them, how to compare tutoring and teaching features, and what to consider for accuracy, privacy, accessibility, and safety.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:28 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:28 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Writing Tools: Draft, Rewrite, Edit, and Summarize Text</title>
<link>https://llms.ninja/tools/by-category/writing</link>
<description><![CDATA[Explore AI writing tools for drafting, rewriting, editing, summarizing, and translation, with guidance on features, limitations, privacy, pricing, and responsible use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:23 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:23 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Project Management Tools: Features, Uses and Limitations</title>
<link>https://llms.ninja/tools/by-category/project-management</link>
<description><![CDATA[Compare AI project management tools for planning, task breakdown, status reporting, risk detection, workflow automation, integrations, privacy and oversight.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:17 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:17 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Task Management Tools: Features, Uses, and Limitations</title>
<link>https://llms.ninja/tools/by-category/task-management</link>
<description><![CDATA[Explore what AI task management tools do, common use cases, key features, limitations, privacy considerations, and how to compare the listed platforms.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:12 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:12 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>Generative Engine Optimization (GEO) Tools for AI Visibility</title>
<link>https://llms.ninja/tools/by-category/geo-ai-search</link>
<description><![CDATA[Learn how GEO tools track AI citations, brand mentions, source selection, competitor visibility, and factual representation across generative search and answer engines.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:08 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:08 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI SEO Tools: Features, Workflows, Pricing, and Limits</title>
<link>https://llms.ninja/tools/by-category/seo</link>
<description><![CDATA[Learn what AI SEO tools do, how they support keyword research, content optimization, technical audits, reporting, and generative-search visibility.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:05 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:05 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Dubbing Tools for Multilingual Video Localization</title>
<link>https://llms.ninja/tools/by-category/dubbing</link>
<description><![CDATA[Compare AI dubbing tools for multilingual audio and video localization, including translation, speaker handling, voice preservation, timing, lip sync, pricing, and rights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 01:00:02 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 07:00:02 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Research Tools: Uses, Features, Limits, and Pricing</title>
<link>https://llms.ninja/tools/by-category/research</link>
<description><![CDATA[Learn what AI research tools do, how they support research workflows, which features to compare, and how to assess citations, privacy, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Wednesday, 30 September 2026 12:59:55 GMT</pubDate>
<lastmod>Wednesday, 30 September 2026 06:59:55 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>Embeddings Explained: Vector Outputs for Search and Retrieval</title>
<link>https://llms.ninja/models/by-type/embeddings</link>
<description><![CDATA[Learn what embedding models produce, how vectors support search and RAG, what project-global means, and how to compare embedding models.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:57:10 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:57:23 GMT</lastmod>
<category><![CDATA[/models/by-type]]></category>
</item>
<item>
<title>01.AI Plans: Pricing, Access and Features</title>
<link>https://llms.ninja/01-ai/plans</link>
<description><![CDATA[Compare 01.AI platform access and offerings, including free availability, API billing, model access, enterprise services and account requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:13:30 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:13:30 GMT</lastmod>
<category><![CDATA[01-ai/plans]]></category>
</item>
<item>
<title>Grok Plans: Pricing, Features and Access Compared</title>
<link>https://llms.ninja/xai/plans</link>
<description><![CDATA[Compare Grok's free, paid, business and enterprise plans, including pricing, model access, premium features, usage limits and API billing differences.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:12:44 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:13:21 GMT</lastmod>
<category><![CDATA[xai/plans]]></category>
</item>
<item>
<title>Claude Plans: Pricing, Features, Models and Limits</title>
<link>https://llms.ninja/anthropic/plans</link>
<description><![CDATA[Compare Claude's free and paid plans, including pricing, included features, model access, usage limits, team options, and enterprise considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:12:40 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:13:10 GMT</lastmod>
<category><![CDATA[anthropic/plans]]></category>
</item>
<item>
<title>AI Image Generators: Uses, Features, Limits and Pricing</title>
<link>https://llms.ninja/tools/by-category/image-generation</link>
<description><![CDATA[Compare what AI image generators do, how image-generation workflows work, and which quality, editing, pricing, privacy, rights, and provenance features matter.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:12:12 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:12:12 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Agent Builders: Features, Uses, Pricing, and Limitations</title>
<link>https://llms.ninja/tools/by-category/agent-builders</link>
<description><![CDATA[Compare AI agent builders by their models, tools, knowledge sources, workflow controls, integrations, deployment, observability, security, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:12:00 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:12:00 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Document Analysis Tools: Features, Uses, Limits and Pricing</title>
<link>https://llms.ninja/tools/by-category/document-analysis</link>
<description><![CDATA[Compare AI document analysis tools for OCR, structured extraction, tables, forms, contracts, workflows, integrations, pricing, accuracy, and data privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:57 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:11:57 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Search Tools: Features, Uses, Limits, and Pricing</title>
<link>https://llms.ninja/tools/by-category/ai-search</link>
<description><![CDATA[Learn what AI search tools do, how conversational web search works, what features to compare, and the key accuracy, privacy, and usage limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:55 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:11:55 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Sales Tools: Uses, Features, Pricing, and Limitations</title>
<link>https://llms.ninja/tools/by-category/sales</link>
<description><![CDATA[Learn what AI sales tools do, who uses them, common workflows, key features to compare, pricing models, limitations, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:20 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:11:20 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Voice Generators: Text-to-Speech Tools, Features and Pricing</title>
<link>https://llms.ninja/tools/by-category/voice-generation</link>
<description><![CDATA[Compare what AI voice generators do, common text-to-speech uses, important features, pricing models, limitations, and voice-cloning privacy and consent issues.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:12 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:11:12 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Speech-to-Text Tools: Transcription, Captions and Dictation</title>
<link>https://llms.ninja/tools/by-category/speech-to-text</link>
<description><![CDATA[Compare AI speech-to-text tools for dictation, captions, meetings, transcription, subtitles, and voice applications. Learn about accuracy, languages, pricing, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:06 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:11:06 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Avatar Tools: Digital Presenters, Digital Twins, and Interactive Avatars</title>
<link>https://llms.ninja/tools/by-category/ai-avatars</link>
<description><![CDATA[Compare AI avatar tools for digital presenters, custom twins, avatar video, localization, and interactive experiences. Learn about features, pricing, consent, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:03 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:11:03 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Video Editing Tools: Features, Uses and Limitations</title>
<link>https://llms.ninja/tools/by-category/video-editing</link>
<description><![CDATA[Compare AI video editing tools by transcription, captions, audio cleanup, media search, generative editing, workflow control, privacy, rights, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:11:01 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:11:01 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Video Generation Tools: Uses, Features and Limitations</title>
<link>https://llms.ninja/tools/by-category/video-generation</link>
<description><![CDATA[Compare AI video generation tools by text-to-video and image-to-video support, motion controls, consistency, audio, pricing, privacy, rights and output quality.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:59 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:59 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Product Photography Tools: Uses, Features, Limits, and Pricing</title>
<link>https://llms.ninja/tools/by-category/product-photography</link>
<description><![CDATA[Learn what AI product photography tools do, how ecommerce workflows use them, what features matter, common limitations, pricing models, and rights considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:58 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:57 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Image Editing Tools: Features, Uses and Limitations</title>
<link>https://llms.ninja/tools/by-category/image-editing</link>
<description><![CDATA[Compare AI image editing tools by their editing features, workflows, precision, image quality, pricing limits, privacy terms, and commercial-use considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:49 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Marketing Copy Tools: Uses, Features, Limits and Pricing</title>
<link>https://llms.ninja/tools/by-category/marketing-copy</link>
<description><![CDATA[Learn what AI marketing copy tools do, common workflows, features to compare, pricing models, limitations, privacy issues, and differences from related AI writing categories.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:45 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:45 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Transcription Tools: Features, Uses, Pricing and Limits</title>
<link>https://llms.ninja/tools/by-category/transcription</link>
<description><![CDATA[Compare AI transcription tools by accuracy, languages, speaker labels, timestamps, integrations, privacy, pricing, and review requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:31 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:31 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Presentation Tools: Features, Workflows, Limits and Pricing</title>
<link>https://llms.ninja/tools/by-category/presentations</link>
<description><![CDATA[Learn what AI presentation tools do, how they turn prompts and documents into decks, which features matter, and how to compare editing, export, privacy, pricing, and rights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:29 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:29 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Data Analysis Tools: Features, Uses, Limits, and Privacy</title>
<link>https://llms.ninja/tools/by-category/data-analysis</link>
<description><![CDATA[Learn what AI data analysis tools do, common workflows, features to compare, pricing patterns, limitations, privacy issues, and differences from BI and research tools.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:25 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:25 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Chatbots: Uses, Features, Pricing, and Limitations</title>
<link>https://llms.ninja/tools/by-category/chatbots</link>
<description><![CDATA[Compare AI chatbots by conversational quality, knowledge grounding, integrations, use cases, privacy, pricing, reliability, and human handoff.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:10:16 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:10:16 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Customer Support Tools: Features, Use Cases, and Limits</title>
<link>https://llms.ninja/tools/by-category/customer-support</link>
<description><![CDATA[Learn what AI customer support tools do, how customer-facing agents and agent copilots work, which features matter, and what pricing, privacy, and security risks to consider.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:57 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:01:57 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Music Generation Tools: Features, Uses, Limits and Rights</title>
<link>https://llms.ninja/tools/by-category/music-generation</link>
<description><![CDATA[Compare AI music generation tools by creative controls, vocals, editing, export quality, credits, commercial rights, privacy, and copyright considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:54 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:01:54 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Coding Tools: Assistants, Code Generators and Agents</title>
<link>https://llms.ninja/tools/by-category/coding</link>
<description><![CDATA[Learn what AI coding tools do, how assistants and coding agents fit into developer workflows, and which features, limits, privacy, security, and licensing issues to compare.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:52 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:01:52 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Voice Cloning Tools: Uses, Features, Pricing, and Risks</title>
<link>https://llms.ninja/tools/by-category/voice-cloning</link>
<description><![CDATA[Compare AI voice cloning tools by voice quality, languages, controls, pricing, consent safeguards, privacy, licensing, and commercial-use support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:01:49 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Text-to-Speech Tools: Uses, Features and Limitations</title>
<link>https://llms.ninja/tools/by-category/text-to-speech</link>
<description><![CDATA[Explore AI text-to-speech tools for narration, accessibility, apps and localization. Compare voices, languages, SSML, streaming, pricing, rights and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:43 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:01:43 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Meeting Notes Tools: Features, Uses and Limitations</title>
<link>https://llms.ninja/tools/by-category/meeting-notes</link>
<description><![CDATA[Compare AI meeting notes tools by transcription, speaker identification, summaries, integrations, pricing limits, privacy controls and accuracy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:38 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:01:38 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Workflow Automation Tools: Uses, Features and Limits</title>
<link>https://llms.ninja/tools/by-category/workflow-automation</link>
<description><![CDATA[Understand AI workflow automation tools, common use cases, key features, pricing models, limitations, security considerations, and how they differ from agents and RPA.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:01:36 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:01:36 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>AI Assistants: Uses, Features, Pricing, and Limitations</title>
<link>https://llms.ninja/tools/by-category/ai-assistants</link>
<description><![CDATA[Explore what AI assistants do, common use cases, features to compare, pricing limits, privacy risks, and differences from AI search, chatbots, and agent builders.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 05:00:44 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 11:00:44 GMT</lastmod>
<category><![CDATA[/tools/by-category]]></category>
</item>
<item>
<title>StudyFetch: AI Study Tools, Tutoring and Pricing</title>
<link>https://llms.ninja/tools/studyfetch</link>
<description><![CDATA[Learn how StudyFetch turns course materials into notes, flashcards, quizzes, tutoring, study plans, audio recaps and explainer videos.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:24:59 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:24:58 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Quizlet: AI Flashcards, Study Guides and Practice Tests</title>
<link>https://llms.ninja/tools/quizlet</link>
<description><![CDATA[Learn how Quizlet combines flashcards and study modes with AI tools for creating study guides, practice tests, PDF summaries, and homework explanations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:49 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>CoCounsel Legal: AI Legal Research, Analysis and Drafting</title>
<link>https://llms.ninja/tools/cocounsel</link>
<description><![CDATA[Learn how CoCounsel Legal supports legal research, document analysis, contract review, drafting, citations, and enterprise legal workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:47 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:47 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Spellbook: AI Contract Drafting and Review for Legal Teams</title>
<link>https://llms.ninja/tools/spellbook</link>
<description><![CDATA[Learn how Spellbook assists with contract drafting, review, redlining, Playbooks, Benchmarks, integrations, pricing access, privacy, and legal workflow limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:45 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:45 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Gong: Revenue AI, Sales Intelligence and Forecasting</title>
<link>https://llms.ninja/tools/gong</link>
<description><![CDATA[Learn how Gong turns customer conversations and CRM data into sales intelligence, deal insights, coaching, engagement workflows, and forecasts.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:39 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:39 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Luminar Neo: AI Photo Editing Features, Pricing and Limitations</title>
<link>https://llms.ninja/tools/luminar-neo</link>
<description><![CDATA[Learn what Luminar Neo does, who it is for, how its AI photo-editing tools work, pricing, integrations, platforms, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:36 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:36 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Originality.AI: AI Detection, Plagiarism Checking and Review</title>
<link>https://llms.ninja/tools/originality-ai</link>
<description><![CDATA[Learn how Originality.AI detects likely AI writing, checks plagiarism, reviews content quality, supports editorial workflows and handles pricing and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:34 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:34 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Sembly AI: Meeting Transcription, Notes and AI Documents</title>
<link>https://llms.ninja/tools/sembly-ai</link>
<description><![CDATA[Learn how Sembly AI records meetings, creates transcripts and tasks, searches conversation history, connects work tools, and generates professional documents.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:28 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:28 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Fellow: AI Meeting Notes, Transcription and Action Items</title>
<link>https://llms.ninja/tools/fellow</link>
<description><![CDATA[Learn what Fellow does, how its AI meeting notes and action items work, its integrations, pricing, platforms, privacy controls, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:22 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:22 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>LTX Studio: AI Video Production and Storyboarding</title>
<link>https://llms.ninja/tools/ltx-studio</link>
<description><![CDATA[LTX Studio is Lightricks' browser-based AI video workspace for scripts, storyboards, visual continuity, generated shots, timeline editing, and video production.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:20 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:20 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Frase: AI SEO, GEO and Content Optimization Platform</title>
<link>https://llms.ninja/tools/frase</link>
<description><![CDATA[Learn how Frase combines SEO research, AI writing, GEO scoring, CMS publishing, site audits, and AI visibility tracking, including pricing and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:17 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:17 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>LM Studio: Local AI Models, Chat, Documents and APIs</title>
<link>https://llms.ninja/tools/lm-studio</link>
<description><![CDATA[Learn how LM Studio runs AI models locally, supports document chat and MCP, serves APIs, handles pricing, and protects privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:13 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:13 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Replicate: AI Model Inference and Deployment Platform</title>
<link>https://llms.ninja/tools/replicate</link>
<description><![CDATA[Learn how Replicate lets developers test, run, fine-tune, publish, and deploy AI models through playgrounds, APIs, SDKs, webhooks, and scalable infrastructure.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:08 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:08 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Durable: AI Website Builder and Business Platform</title>
<link>https://llms.ninja/tools/durable</link>
<description><![CDATA[Learn how Durable generates business websites and combines hosting, CRM, bookings, invoicing, SEO, marketing, automation, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:21:06 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:21:06 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>10Web: AI Website Builder and WordPress Hosting Guide</title>
<link>https://llms.ninja/tools/10web</link>
<description><![CDATA[Learn how 10Web generates, edits, hosts, and manages WordPress websites, including pricing, ecommerce, agency tools, API access, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:34 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:34 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Tripo AI: AI 3D Model Generation, Texturing and Rigging</title>
<link>https://llms.ninja/tools/tripo-ai</link>
<description><![CDATA[Explore Tripo AI for text-to-3D, image-to-3D, texturing, retopology, rigging, exports, pricing, API access and commercial-use limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:30 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:30 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Resemble AI: Voice Generation, Cloning and Media Detection</title>
<link>https://llms.ninja/tools/resemble-ai</link>
<description><![CDATA[Learn how Resemble AI handles voice generation, cloning, streaming, transcription, synthetic-media detection, pricing, APIs, privacy, and enterprise workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:25 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:25 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Lavender: AI Sales Email Coach, Features and Pricing</title>
<link>https://llms.ninja/tools/lavender</link>
<description><![CDATA[Learn how Lavender scores, rewrites, personalizes, and optimizes sales emails, with details on workflows, pricing, integrations, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:22 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:22 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Anyword: AI Marketing Copywriting and Performance Scoring</title>
<link>https://llms.ninja/tools/anyword</link>
<description><![CDATA[Learn how Anyword generates and scores marketing copy for ads, email, social, websites, blogs, and product content, plus pricing, integrations, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:20 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:20 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>MagicSchool: AI Tools for Teachers, Students and Schools</title>
<link>https://llms.ninja/tools/magicschool</link>
<description><![CDATA[Learn how MagicSchool supports lesson planning, assessments, student tools, Student Rooms, school integrations, pricing, privacy, and district AI adoption.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:18 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:18 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>D-ID: AI Avatar Video, Visual Agents and Video Translation</title>
<link>https://llms.ninja/tools/d-id</link>
<description><![CDATA[Learn how D-ID creates avatar videos, translates video, supports voice cloning and visual agents, and connects Studio workflows with REST and streaming APIs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:13 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:13 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Colossyan: AI Video and Training Platform</title>
<link>https://llms.ninja/tools/colossyan</link>
<description><![CDATA[Learn how Colossyan creates AI presenter videos, interactive courses, multilingual training, and SCORM content, with pricing, integrations, limits, and privacy details.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:11 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:11 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>tl;dv: AI Meeting Notetaker, Transcription and Meeting Intelligence</title>
<link>https://llms.ninja/tools/tldv</link>
<description><![CDATA[Learn how tl;dv records, transcribes, summarizes, searches, and analyzes meetings, with pricing, integrations, privacy considerations, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:05 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:05 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Kagi Assistant: Multi-Model AI Search and Research</title>
<link>https://llms.ninja/tools/kagi-assistant</link>
<description><![CDATA[Learn how Kagi Assistant combines selectable AI models, Kagi Search, file analysis, custom assistants, privacy controls, pricing, and usage limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:03 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:03 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Figma Make: AI App Builder for Prototypes and Web Apps</title>
<link>https://llms.ninja/tools/figma-make</link>
<description><![CDATA[Learn how Figma Make turns prompts and designs into functional prototypes and web apps, including pricing, credits, Supabase, publishing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:01 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:01 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Clearscope: SEO Content Optimization and AI Search Visibility</title>
<link>https://llms.ninja/tools/clearscope</link>
<description><![CDATA[Learn how Clearscope supports SEO research, AI-assisted drafting, content optimization, monitoring, integrations, pricing, and AI-search visibility tracking.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:18:00 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:18:00 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Hedra: AI Video, Avatar, Image and Voice Creation Studio</title>
<link>https://llms.ninja/tools/hedra</link>
<description><![CDATA[Learn how Hedra creates AI videos, avatars, images, voices and audio, including its models, credits, pricing, platforms, privacy considerations and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:17:56 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:17:56 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Workato: AI-Powered Integration and Workflow Automation</title>
<link>https://llms.ninja/tools/workato</link>
<description><![CDATA[Learn how Workato connects enterprise applications, automates workflows, builds AI agents, manages APIs, and handles pricing, credits, security, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:17:54 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:17:54 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>PolyAI: Enterprise Voice AI for Customer Service</title>
<link>https://llms.ninja/tools/polyai</link>
<description><![CDATA[Learn how PolyAI builds enterprise voice agents for customer service, business-system integrations, automated workflows, analytics, and human handoffs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:54 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:54 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Predis.ai: AI Ads, Social Content and Scheduling</title>
<link>https://llms.ninja/tools/predis-ai</link>
<description><![CDATA[Learn how Predis.ai generates branded ads, posts, videos and captions, with social scheduling, competitor analysis, pricing, integrations and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:52 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:52 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Shopify Sidekick: AI Commerce Assistant, Features and Pricing</title>
<link>https://llms.ninja/tools/shopify-sidekick</link>
<description><![CDATA[Learn what Shopify Sidekick does, how it supports store analysis and automation, which plans include it, and its key platform, privacy, and usage limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:49 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Decagon: AI Customer Support Automation Platform</title>
<link>https://llms.ninja/tools/decagon</link>
<description><![CDATA[Learn how Decagon deploys AI customer-support agents across chat, email, voice and messaging with integrations, workflows, governance and custom usage-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:46 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:46 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Sierra: Enterprise AI Customer Service Agent Platform</title>
<link>https://llms.ninja/tools/sierra</link>
<description><![CDATA[Learn how Sierra builds enterprise customer-service agents for voice, chat, email, and messaging, with integrations, workflows, testing, governance, and outcome-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:43 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:43 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Abridge: AI Clinical Documentation for Healthcare</title>
<link>https://llms.ninja/tools/abridge</link>
<description><![CDATA[Learn how Abridge converts clinical conversations into reviewable notes, transcripts and EHR workflow outputs for healthcare organizations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:40 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:39 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>WellSaid: AI Voiceover and Text-to-Speech Platform</title>
<link>https://llms.ninja/tools/wellsaid</link>
<description><![CDATA[Learn what WellSaid does, how its AI voiceover workflow works, pricing, commercial usage rights, Adobe and API integrations, languages, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:33 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:33 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Cartesia: Real-Time Voice AI, TTS, STT and Voice Agents</title>
<link>https://llms.ninja/tools/cartesia</link>
<description><![CDATA[Learn what Cartesia does, including Sonic TTS, Ink speech-to-text, voice cloning, multilingual audio, pricing, APIs, voice agents, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:31 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:31 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Topaz Photo AI: Features, Uses and Discontinued Status</title>
<link>https://llms.ninja/tools/topaz-photo-ai</link>
<description><![CDATA[Learn what Topaz Photo AI did, including denoising, sharpening, face recovery, restoration and upscaling, plus its legacy status and Topaz Photo successor.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:29 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:29 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Uizard: AI UI Design, Wireframing and Prototyping</title>
<link>https://llms.ninja/tools/uizard</link>
<description><![CDATA[Learn what Uizard does, how its AI wireframing and prototyping workflow works, who it is for, pricing, limits, integrations, exports, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:27 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:27 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Manus: AI Agent for Research, Automation and Finished Work</title>
<link>https://llms.ninja/tools/manus</link>
<description><![CDATA[Learn what Manus does, including research, browser automation, data analysis, website creation, integrations, pricing, platforms, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:19 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:19 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Synthflow AI: Voice Agents, Business Calls and Workflow Automation</title>
<link>https://llms.ninja/tools/synthflow-ai</link>
<description><![CDATA[Learn what Synthflow AI does, how its voice and chat agents work, supported channels, integrations, pricing model, privacy controls, and business use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:17 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:17 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Napkin AI: Text-to-Visual Diagrams, Infographics and Presentations</title>
<link>https://llms.ninja/tools/napkin-ai</link>
<description><![CDATA[Learn how Napkin AI turns text and documents into editable diagrams, infographics and presentations, with pricing, credits, exports, collaboration and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:15 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:15 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Pitch: AI Presentation and Collaboration Platform</title>
<link>https://llms.ninja/tools/pitch</link>
<description><![CDATA[Learn how Pitch combines AI-assisted slide creation, editable decks, collaboration, templates, sharing, analytics, integrations, pricing, and automation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:13 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:13 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Character.AI: AI Character Chat and Roleplay Platform</title>
<link>https://llms.ninja/tools/character-ai</link>
<description><![CDATA[Learn how Character.AI supports AI character chat, roleplay, Scenes, voice features and creative publishing, plus pricing, privacy and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:11 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:11 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Grok: AI Assistant for Search, Files, Voice, and Media</title>
<link>https://llms.ninja/tools/grok</link>
<description><![CDATA[Learn how Grok combines web and X search, file analysis, voice, image and video generation, connectors, pricing, and privacy controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:14:09 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:14:09 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Retool: AI Internal Apps, Workflows and Agent Automation</title>
<link>https://llms.ninja/tools/retool</link>
<description><![CDATA[Retool is a low-code platform for building internal apps, mobile tools, workflows, and AI agents connected to business data and APIs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:57 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:57 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Avoma: AI Meeting Assistant and Revenue Intelligence</title>
<link>https://llms.ninja/tools/avoma</link>
<description><![CDATA[Learn how Avoma records meetings, creates AI notes, analyzes conversations, updates CRMs, supports scheduling, and connects meeting data to revenue workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:55 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:55 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Sonix: AI Transcription, Translation, Subtitles, and Audio Intelligence</title>
<link>https://llms.ninja/tools/sonix</link>
<description><![CDATA[Learn how Sonix handles audio and video transcription, subtitles, translation, AI analysis, integrations, pricing, privacy, and common use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:49 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>AdCreative.ai: AI Advertising Creative Generation and Insights</title>
<link>https://llms.ninja/tools/adcreative-ai</link>
<description><![CDATA[Learn what AdCreative.ai does, how its ad and product-creative workflows work, pricing, credits, integrations, API access, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:45 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:45 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Sudowrite: AI Fiction Writing and Story Development Tool</title>
<link>https://llms.ninja/tools/sudowrite</link>
<description><![CDATA[Learn how Sudowrite supports fiction planning, drafting, rewriting, brainstorming, manuscript organization, mobile writing, pricing, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:41 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:41 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Meshy: AI 3D Model Generation, Text-to-3D and Asset Tools</title>
<link>https://llms.ninja/tools/meshy</link>
<description><![CDATA[Learn how Meshy generates and prepares 3D assets from text and images, with texturing, rigging, animation, printing tools, integrations, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:40 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:40 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>VEED: AI Video Creation, Editing, Avatars and Subtitles</title>
<link>https://llms.ninja/tools/veed</link>
<description><![CDATA[Learn what VEED does, including AI video generation, editing, avatars, captions, dubbing, translation, pricing, platforms, credits, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:37 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:37 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Miro: AI-Powered Visual Collaboration and Whiteboarding</title>
<link>https://llms.ninja/tools/miro</link>
<description><![CDATA[Learn how Miro combines visual collaboration, AI workflows, diagrams, workshops, planning, integrations, pricing, and enterprise controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:31 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:31 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Beautiful.ai: AI Presentation Maker, Smart Slides and Pricing</title>
<link>https://llms.ninja/tools/beautiful-ai</link>
<description><![CDATA[Learn how Beautiful.ai creates AI-assisted presentations with Smart Slides, templates, brand controls, collaboration, exports, pricing, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:24 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:24 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Smartcat: AI Translation and Localization Platform</title>
<link>https://llms.ninja/tools/smartcat</link>
<description><![CDATA[Learn how Smartcat combines AI translation, CAT editing, translation memory, localization workflows, integrations, multimedia support, and human review.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:22 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:22 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Sana AI: Enterprise AI Agents, Search and Workflow Automation</title>
<link>https://llms.ninja/tools/sana-ai</link>
<description><![CDATA[Sana AI, now marketed as Sana Agents, connects enterprise knowledge and business apps for search, research, document creation, meetings and workflow automation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:19 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:19 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Relevance AI: AI Agents and Workflow Automation</title>
<link>https://llms.ninja/tools/relevance-ai</link>
<description><![CDATA[Learn how Relevance AI builds business AI agents, connects knowledge and apps, automates workflows, and handles pricing, usage, deployment, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:14 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:14 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Voiceflow: AI Agent Builder for Chat, Voice and Customer Workflows</title>
<link>https://llms.ninja/tools/voiceflow</link>
<description><![CDATA[Learn what Voiceflow does, how its AI agent builder works, its integrations and deployment channels, pricing structure, privacy considerations, and ideal users.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:12 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:12 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Hex: AI Analytics and Data Workspace</title>
<link>https://llms.ninja/tools/hex</link>
<description><![CDATA[Learn how Hex combines SQL and Python notebooks, AI analytics, governed data, collaboration, and interactive data apps for technical and business users.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:07 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:07 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Udio: AI Music and Song Generation Platform</title>
<link>https://llms.ninja/tools/udio</link>
<description><![CDATA[Learn how Udio generates songs and instrumentals from prompts, lyrics, and audio references, plus pricing, platforms, credits, features, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:08:04 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:08:04 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Recraft: AI Image, Vector and Design Generation Platform</title>
<link>https://llms.ninja/tools/recraft</link>
<description><![CDATA[Recraft generates and edits images, SVG vectors, mockups and branded visual assets with web, mobile, API and integration access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:54 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:54 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Riverside: AI Recording, Editing and Content Repurposing</title>
<link>https://llms.ninja/tools/riverside</link>
<description><![CDATA[Riverside records remote audio and video, edits transcripts, generates clips and show notes, hosts podcasts, supports livestreams, and repurposes content with AI.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:52 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:52 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Shortwave: AI Email Client for Gmail and Google Workspace</title>
<link>https://llms.ninja/tools/shortwave</link>
<description><![CDATA[Learn how Shortwave uses AI for Gmail search, drafting, inbox automation, calendar actions, collaboration, pricing, platforms, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:49 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Bolt.new: AI App and Website Builder for Prompt-Based Development</title>
<link>https://llms.ninja/tools/bolt-new</link>
<description><![CDATA[Learn how Bolt.new generates websites and JavaScript web apps from prompts, including features, pricing, integrations, limitations, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:48 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:48 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Mem: AI Knowledge Workspace, Meeting Notes and Task Tracking</title>
<link>https://llms.ninja/tools/mem</link>
<description><![CDATA[Learn how Mem combines AI notes, semantic search, meeting capture, task tracking, connected sources and an AI agent for personal knowledge management.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:45 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:45 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Hebbia: AI Research and Document Intelligence for Finance</title>
<link>https://llms.ninja/tools/hebbia</link>
<description><![CDATA[Learn how Hebbia uses Chat, Matrix, agents, and connected data sources for cited financial research, due diligence, document analysis, and enterprise workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:43 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:43 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Harvey: AI Legal Research, Document Analysis and Workflow Automation</title>
<link>https://llms.ninja/tools/harvey</link>
<description><![CDATA[Learn what Harvey does for legal research, drafting, document review, Vault analysis, workflow agents, integrations, enterprise access, and data governance.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:37 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:37 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Rask AI: Video Translation, Dubbing and Voice Cloning</title>
<link>https://llms.ninja/tools/rask-ai</link>
<description><![CDATA[Rask AI translates, dubs and subtitles video and audio with voice cloning, lip sync, editable transcripts, multilingual projects and API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:33 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:33 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Speechify: AI Text-to-Speech, Voice Typing and Document Reading</title>
<link>https://llms.ninja/tools/speechify</link>
<description><![CDATA[Learn what Speechify does, including text-to-speech, OCR scanning, voice typing, AI summaries, podcasts, pricing, platforms and privacy limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:29 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:29 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Captions: AI Video Editing, Generation and Translation</title>
<link>https://llms.ninja/tools/captions</link>
<description><![CDATA[Learn how Captions combines AI video editing, automatic captions, avatars, dubbing, translation, voice tools, and short-form video generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:26 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:26 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>OpusClip: AI Video Clipping and Editing for Short-Form Content</title>
<link>https://llms.ninja/tools/opusclip</link>
<description><![CDATA[Learn how OpusClip turns long videos into short clips with AI highlights, captions, reframing, editing, social publishing, credits, and plan limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:18 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:18 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Kling AI: AI Video and Image Generation Platform</title>
<link>https://llms.ninja/tools/kling-ai</link>
<description><![CDATA[Understand Kling AI's video, image, motion-control and avatar workflows, pricing credits, platforms, API access, privacy considerations and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:15 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:15 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Photoroom: AI Product Photography and Image Editing</title>
<link>https://llms.ninja/tools/photoroom</link>
<description><![CDATA[Learn how Photoroom handles product photography, background removal, AI scenes, batch editing, pricing, API workflows, platforms, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:13 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:13 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Magnific: AI Creative Suite for Images, Video and Design</title>
<link>https://llms.ninja/tools/magnific</link>
<description><![CDATA[Learn how Magnific generates, edits and upscales images, video and audio, with stock assets, custom agents, creative workspaces, integrations and credit-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:10 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:10 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Krea: AI Image, Video and Creative Production Platform</title>
<link>https://llms.ninja/tools/krea</link>
<description><![CDATA[Learn what Krea does, how its image and video tools work, pricing, compute limits, workflows, API access, privacy, and best use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:09 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:09 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>CapCut: AI Video Editing, Captions, Templates and Pricing</title>
<link>https://llms.ninja/tools/capcut</link>
<description><![CDATA[Learn what CapCut does, how its AI video, caption, voice and editing tools work, who it is for, and how its free and paid access varies by region.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:07 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:07 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Qodo: AI Code Review and Software Quality Platform</title>
<link>https://llms.ninja/tools/qodo</link>
<description><![CDATA[Learn how Qodo reviews code, generates tests, supports IDE and CLI workflows, automates CI checks, and provides enterprise governance and deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:07:01 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:07:01 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Tabnine: AI Code Assistant, Agents, Pricing and Privacy</title>
<link>https://llms.ninja/tools/tabnine</link>
<description><![CDATA[Learn what Tabnine does, how its IDE coding assistance and agents work, plus pricing, supported environments, integrations, deployment, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:58 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:58 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Amazon Q Developer: AI Coding Assistant for AWS and Software Development</title>
<link>https://llms.ninja/tools/amazon-q-developer</link>
<description><![CDATA[Learn how Amazon Q Developer supports coding, testing, code review, AWS troubleshooting, agentic development, modernization, pricing, privacy, and developer workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:56 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:56 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Devin: AI Software Engineering and Autonomous Coding Agent</title>
<link>https://llms.ninja/tools/devin</link>
<description><![CDATA[Learn what Devin by Cognition does, how its coding agent works, pricing, integrations, platforms, enterprise controls, and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:54 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:54 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Salesforce Agentforce: AI Agents, Features, Pricing and Use Cases</title>
<link>https://llms.ninja/tools/salesforce-agentforce</link>
<description><![CDATA[Learn what Salesforce Agentforce does, how its AI agents use CRM data and workflows, where it deploys, how pricing works, and who it suits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:52 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:52 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>HubSpot Breeze: AI Assistant, Agents and CRM Automation</title>
<link>https://llms.ninja/tools/hubspot-breeze</link>
<description><![CDATA[Learn how HubSpot Breeze supports CRM intelligence, marketing, sales, customer service, AI agents, content generation, pricing, credits, and data governance.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:49 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Gorgias: AI Customer Support and Ecommerce Helpdesk</title>
<link>https://llms.ninja/tools/gorgias</link>
<description><![CDATA[Learn how Gorgias combines an ecommerce helpdesk, AI Agent, store integrations, support workflows, analytics, pricing, and privacy controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:43 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:43 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Ada: Enterprise AI Customer Service and Support Automation</title>
<link>https://llms.ninja/tools/ada</link>
<description><![CDATA[Learn how Ada automates enterprise customer support across chat, voice, email, messaging, and more, including workflows, integrations, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:40 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:40 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Zendesk AI: Customer Service Automation and Agent Copilot</title>
<link>https://llms.ninja/tools/zendesk-ai</link>
<description><![CDATA[Learn what Zendesk AI does, how its AI agents and Agent Copilot work, how pricing is structured, and who should use it for customer-service automation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:37 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:37 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Bardeen: AI Workflow Automation and Lead Enrichment</title>
<link>https://llms.ninja/tools/bardeen</link>
<description><![CDATA[Learn how Bardeen automates web scraping, lead enrichment, AI qualification, browser tasks, and business workflows, plus pricing, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:34 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:34 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Clay: AI Go-to-Market Automation and Data Enrichment</title>
<link>https://llms.ninja/tools/clay</link>
<description><![CDATA[Learn how Clay combines AI account research, data enrichment, intent signals, audiences, and outbound workflow automation for go-to-market teams.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:32 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:32 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Make: Visual AI Workflow Automation and Integrations</title>
<link>https://llms.ninja/tools/make</link>
<description><![CDATA[Learn how Make connects apps, automates multi-step workflows, supports AI agents and MCP, and handles pricing, credits, integrations, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:29 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:29 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Relay.app: AI Workflow Automation and Agent Building</title>
<link>https://llms.ninja/tools/relay-app</link>
<description><![CDATA[Relay.app was a no-code platform for AI-assisted business workflows, app integrations, web research, and human approvals. It shut down permanently in September 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:23 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:23 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Gumloop: AI Agents and Workflow Automation for Business</title>
<link>https://llms.ninja/tools/gumloop</link>
<description><![CDATA[Learn what Gumloop does, how its AI agents and workflows work, pricing, integrations, deployment options, privacy considerations, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:22 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:22 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Lindy: AI Assistant and Workflow Automation for Business</title>
<link>https://llms.ninja/tools/lindy</link>
<description><![CDATA[Learn what Lindy does, how its AI agents automate email, meetings and business workflows, plus pricing, credits, integrations, approvals and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:21 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:21 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>MarketMuse: AI Content Strategy and SEO Optimization</title>
<link>https://llms.ninja/tools/marketmuse</link>
<description><![CDATA[Learn how MarketMuse supports topic research, content briefs, site audits, competitor analysis, SEO optimization, pricing, workflows, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:06:19 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:06:19 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Ahrefs: SEO Research, Backlinks, Rank Tracking and AI Visibility</title>
<link>https://llms.ninja/tools/ahrefs</link>
<description><![CDATA[Learn what Ahrefs does, how its SEO and AI visibility tools work, pricing, free access, integrations, limits and who the platform is best for.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:05:58 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:05:58 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>ChatPDF: AI PDF Chat and Document Analysis Tool</title>
<link>https://llms.ninja/tools/chatpdf</link>
<description><![CDATA[Learn how ChatPDF answers questions about PDFs, summarizes documents, cites pages, compares files, supports multilingual use, and provides API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:05:56 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:05:56 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Humata: AI Document Research and PDF Analysis Tool</title>
<link>https://llms.ninja/tools/humata</link>
<description><![CDATA[Learn how Humata analyzes PDFs and documents, provides citations, supports teams and APIs, and prices access through monthly page allowances.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:05:53 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:05:53 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Julius AI: Data Analysis, Research and AI Creation Workspace</title>
<link>https://llms.ninja/tools/julius-ai</link>
<description><![CDATA[Learn what Julius AI does, how its data analysis and research workspace works, pricing, connectors, automation, privacy, limitations, and who it suits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:05:51 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:05:51 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Notta: AI Meeting Transcription and Notes</title>
<link>https://llms.ninja/tools/notta</link>
<description><![CDATA[Understand what Notta does, its meeting transcription workflow, AI notes, pricing, platforms, integrations, privacy controls, and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:03:37 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:03:37 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Krisp: AI Meeting Assistant and Noise Cancellation Software</title>
<link>https://llms.ninja/tools/krisp</link>
<description><![CDATA[Learn how Krisp removes call noise, records meetings, creates transcripts and notes, supports accent conversion, and works across team and enterprise workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:03:04 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:03:04 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Read AI: Meeting Notes, Transcription and Workplace Insights</title>
<link>https://llms.ninja/tools/read-ai</link>
<description><![CDATA[Learn what Read AI does, how its meeting transcription and analytics work, pricing, integrations, privacy controls, and who the workplace assistant is for.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:48 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:48 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Granola: AI Meeting Notes, Transcription and Meeting Intelligence</title>
<link>https://llms.ninja/tools/granola</link>
<description><![CDATA[Learn how Granola captures device audio, creates AI-enhanced meeting notes, searches meeting history, supports integrations, and handles pricing and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:45 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:45 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Zoom AI Companion: Workplace AI for Meetings and Productivity</title>
<link>https://llms.ninja/tools/zoom-ai-companion</link>
<description><![CDATA[Learn what Zoom AI Companion does, how it handles meeting summaries, search, writing, workflows, pricing, integrations, privacy, and plan limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:43 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:43 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Slack AI: Workplace Search, Summaries and Workflow Automation</title>
<link>https://llms.ninja/tools/slack-ai</link>
<description><![CDATA[Learn what Slack AI does, how its search, summaries, huddle notes, Slackbot, workflows, pricing, privacy, and enterprise features work.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:40 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:40 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Asana AI: AI Project Management and Workflow Automation</title>
<link>https://llms.ninja/tools/asana-intelligence</link>
<description><![CDATA[Learn how Asana AI, formerly Asana Intelligence, summarizes work, improves tasks, automates workflows, handles pricing, and manages privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:38 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:38 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>ClickUp Brain: AI Work Management Features, Pricing and Limits</title>
<link>https://llms.ninja/tools/clickup-brain</link>
<description><![CDATA[Learn what ClickUp Brain does, how it uses workspace context, its AI search and workflow features, pricing structure, platforms, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:35 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:35 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Coda (Superhuman Docs): AI Collaborative Workspace</title>
<link>https://llms.ninja/tools/coda</link>
<description><![CDATA[Learn how Coda, now Superhuman Docs, combines documents, tables, Docs AI, integrations, automations, pricing, platforms, and enterprise controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:33 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:33 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Airtable: AI Database, App Builder and Workflow Automation</title>
<link>https://llms.ninja/tools/airtable</link>
<description><![CDATA[Learn how Airtable combines relational databases, no-code apps, workflow automation, integrations, and AI for business operations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:29 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:29 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Glean: Enterprise AI Search and Work Automation</title>
<link>https://llms.ninja/tools/glean</link>
<description><![CDATA[Learn how Glean combines permission-aware enterprise search, cited AI answers, document analysis, research, agents, and workflow automation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:28 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:28 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Fin AI Agent: Customer Service Automation and Pricing</title>
<link>https://llms.ninja/tools/fin-ai-agent</link>
<description><![CDATA[Learn how Fin AI Agent by Intercom answers support questions, runs workflows, qualifies leads, handles pricing, and escalates conversations to humans.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:28 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:28 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Scite: AI Scientific Literature Search and Citation Analysis</title>
<link>https://llms.ninja/tools/scite</link>
<description><![CDATA[Learn how Scite uses scholarly search, Smart Citations, and citation context to help researchers evaluate scientific literature, evidence, and supporting or contrasting studies.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:26 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:26 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Consensus: AI Academic Search and Research Tool</title>
<link>https://llms.ninja/tools/consensus</link>
<description><![CDATA[Learn how Consensus searches academic papers, summarizes evidence, compares studies, supports literature reviews, and provides citation-backed research workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:19 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:19 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Elicit: AI Research and Evidence Synthesis Assistant</title>
<link>https://llms.ninja/tools/elicit</link>
<description><![CDATA[Learn how Elicit searches papers, supports systematic reviews, extracts evidence, generates cited reports, and handles pricing, privacy, and research workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:18 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:18 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>DeepL: AI Translation, Writing and Voice Tools</title>
<link>https://llms.ninja/tools/deepl</link>
<description><![CDATA[Learn what DeepL does, including translation, document handling, DeepL Write, DeepL Voice, integrations, pricing, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:15 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:15 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Suno: AI Music and Song Generation Platform</title>
<link>https://llms.ninja/tools/suno</link>
<description><![CDATA[Learn how Suno generates songs from prompts, lyrics, audio, and other inputs, with details on features, plans, credits, commercial rights, platforms, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:11 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:11 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Murf AI: Voiceover, Text-to-Speech, Dubbing and Pricing</title>
<link>https://llms.ninja/tools/murf-ai</link>
<description><![CDATA[Learn what Murf AI does, including voiceover creation, text-to-speech, dubbing, translation, API access, pricing, integrations, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:08 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:08 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Pika: AI Video, Image and Sound Creation Platform</title>
<link>https://llms.ninja/tools/pika</link>
<description><![CDATA[Learn how Pika generates and transforms video, images, speech, music, and sound effects, with details on workflows, pricing, platforms, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:05 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:05 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Luma Dream Machine: AI Image, Video and Audio Creation</title>
<link>https://llms.ninja/tools/luma-dream-machine</link>
<description><![CDATA[Learn what Luma Dream Machine, now Luma, does for AI image, video and audio creation, including workflows, pricing, credits, platforms, limitations and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:02:02 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:02:02 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Synthesia: AI Video Creation, Avatars and Localization</title>
<link>https://llms.ninja/tools/synthesia</link>
<description><![CDATA[Learn how Synthesia creates AI avatar videos from scripts, documents and presentations, with dubbing, localization, pricing, API access and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:59 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:59 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Adobe Firefly: AI Image, Video, Audio and Vector Creation</title>
<link>https://llms.ninja/tools/adobe-firefly</link>
<description><![CDATA[Learn what Adobe Firefly does, how its image, video, audio and vector tools work, how credits and plans are structured, and who the platform is best for.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:55 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:55 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Leonardo.Ai: AI Image, Video and Design Generation</title>
<link>https://llms.ninja/tools/leonardo-ai</link>
<description><![CDATA[Learn what Leonardo.Ai does, how its image and video workflows work, what plans and limits apply, and whether it fits your creative or business needs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:53 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:53 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Ideogram: AI Image Generation, Typography and Design Tools</title>
<link>https://llms.ninja/tools/ideogram</link>
<description><![CDATA[Learn how Ideogram creates and edits images, handles typography, supports references and Canvas workflows, and offers free, paid, API, and enterprise access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:51 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:51 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Midjourney: AI Image and Video Generation Platform</title>
<link>https://llms.ninja/tools/midjourney</link>
<description><![CDATA[Learn what Midjourney does, how its image and video generation works, current pricing, editing tools, privacy options, limitations, and ideal users.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:46 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:46 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Lovable: AI Website and Full-Stack Web App Builder</title>
<link>https://llms.ninja/tools/lovable</link>
<description><![CDATA[Learn how Lovable turns natural-language prompts into websites and full-stack web apps, with integrations, hosting, GitHub workflows, credits, and team plans.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:41 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:41 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>v0: AI Web App Builder, Features, Pricing and Limitations</title>
<link>https://llms.ninja/tools/v0</link>
<description><![CDATA[Learn how v0 turns prompts, designs and code into editable web apps, with full-stack features, integrations, Vercel deployment, pricing and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:38 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:38 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>GitHub Copilot: AI Coding Assistant, Features and Pricing</title>
<link>https://llms.ninja/tools/github-copilot</link>
<description><![CDATA[Learn what GitHub Copilot does, how its coding agents and IDE integrations work, what plans cost, and what developers should know about credits, privacy, and security.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:35 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:35 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Replit: AI App Builder, Coding Agent and Cloud Deployment Platform</title>
<link>https://llms.ninja/tools/replit</link>
<description><![CDATA[Learn how Replit Agent helps build, edit, test, collaborate on, and deploy applications, plus pricing, integrations, privacy considerations, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:34 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:34 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Langflow: Visual AI Workflow and Agent Builder</title>
<link>https://llms.ninja/tools/langflow</link>
<description><![CDATA[Learn how Langflow builds RAG apps, AI agents, APIs and MCP tools, including deployment options, pricing, integrations, privacy and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:27 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:27 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Dify: AI Agent Building and Workflow Automation</title>
<link>https://llms.ninja/tools/dify</link>
<description><![CDATA[Learn how Dify builds AI agents, RAG apps, chatbots, workflows, and APIs, with cloud pricing, self-hosting, integrations, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:24 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:24 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>n8n: AI Workflow Automation, Integrations and Self-Hosting</title>
<link>https://llms.ninja/tools/n8n</link>
<description><![CDATA[Learn how n8n connects apps, APIs, databases and AI models through visual workflows, with Cloud and self-hosted deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:21 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:21 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Motion: AI Calendar, Task Planning and Work Management</title>
<link>https://llms.ninja/tools/motion</link>
<description><![CDATA[Learn how Motion combines AI task scheduling, calendars, projects, meeting notes, documents, workflows, and team work management.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:20 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:20 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Reclaim AI: Adaptive Calendar Scheduling and Time Management</title>
<link>https://llms.ninja/tools/reclaim-ai</link>
<description><![CDATA[Learn how Reclaim AI schedules tasks, habits, focus time, meetings, and buffers, including pricing, integrations, platforms, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:17 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:17 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Taskade: AI Workspace, Agents and Workflow Automation</title>
<link>https://llms.ninja/tools/taskade</link>
<description><![CDATA[Learn what Taskade does, including AI agents, project management, Genesis app generation, integrations, automation, pricing, platforms and privacy limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:11 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:11 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Fireflies.ai: AI Meeting Notes, Transcription and Conversation Intelligence</title>
<link>https://llms.ninja/tools/fireflies-ai</link>
<description><![CDATA[Learn how Fireflies.ai records, transcribes, summarizes, searches, and analyzes meetings, with pricing, integrations, privacy considerations, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:08 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:07 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Fathom: AI Meeting Notes, Transcription and Meeting Intelligence</title>
<link>https://llms.ninja/tools/fathom</link>
<description><![CDATA[Learn how Fathom captures meetings, creates transcripts and summaries, extracts action items, connects to CRMs, and handles pricing, platforms, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:05 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:05 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Otter: AI Meeting Transcription, Notes and Summaries</title>
<link>https://llms.ninja/tools/otter</link>
<description><![CDATA[Learn how Otter transcribes meetings, identifies speakers, creates summaries and action items, supports team workflows, and handles pricing and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:01:00 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:01:00 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Canva Magic Studio: AI Design and Content Creation Tools</title>
<link>https://llms.ninja/tools/canva-magic-studio</link>
<description><![CDATA[Understand Canva Magic Studio's AI design, writing, image, video, editing, pricing, platform, usage limits, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:00:57 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:00:57 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>WRITER: Enterprise AI Agents and Workflow Automation</title>
<link>https://llms.ninja/tools/writer</link>
<description><![CDATA[Learn how WRITER combines AI agents, Knowledge Graph grounding, workflow automation, business integrations, model controls, and enterprise governance.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:00:54 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:00:54 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Copy.ai: AI Go-to-Market Workflows, Content Agents and Pricing</title>
<link>https://llms.ninja/tools/copy-ai</link>
<description><![CDATA[Learn how Copy.ai combines AI writing, content agents, research, CRM workflows, integrations, pricing, privacy, and GTM automation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 04:00:46 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 10:00:45 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Writesonic: AI Search Visibility, SEO, and Content Platform</title>
<link>https://llms.ninja/tools/writesonic</link>
<description><![CDATA[Learn how Writesonic tracks AI-search visibility, supports SEO and content workflows, connects marketing tools, and handles pricing, limits, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:08:14 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:08:14 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>You.com: AI Search, Research, Agents and Pricing</title>
<link>https://llms.ninja/tools/you-com</link>
<description><![CDATA[Learn what You.com does, how its AI search and research workflows work, its pricing, platforms, custom agents, APIs, and privacy limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:08:09 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:08:09 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Microsoft Copilot: AI Assistant for Microsoft 365 and Web Research</title>
<link>https://llms.ninja/tools/microsoft-copilot</link>
<description><![CDATA[Learn what Microsoft Copilot does, how its web and Microsoft 365 features work, its pricing structure, privacy considerations, platforms, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:08:05 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:08:05 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>ChatGPT: Features, Pricing, Uses and Limitations</title>
<link>https://llms.ninja/tools/chatgpt</link>
<description><![CDATA[A practical overview of ChatGPT's research, writing, coding, file analysis, image, voice, pricing, platform, privacy, and workflow features.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:08:02 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:08:02 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Jasper: AI Marketing Content and Brand Management Platform</title>
<link>https://llms.ninja/tools/jasper</link>
<description><![CDATA[Learn how Jasper creates brand-governed marketing content with AI writing, agents, SEO, GEO, collaboration, integrations, pricing, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:55 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:55 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Grammarly: AI Writing Assistant, Features, Pricing and Limits</title>
<link>https://llms.ninja/tools/grammarly</link>
<description><![CDATA[Learn what Grammarly does, how its proofreading and generative writing tools work, where it integrates, how pricing is structured, and what privacy limitations to consider.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:53 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:53 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Gemini Notebook: AI Research, Citations and Document Analysis</title>
<link>https://llms.ninja/tools/gemini-notebook</link>
<description><![CDATA[Learn how Gemini Notebook analyzes documents and other sources, provides citations, creates research outputs, and handles pricing, limits, platforms and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:51 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:51 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>HeyGen: AI Avatar Video Creation, Translation and Digital Twins</title>
<link>https://llms.ninja/tools/heygen</link>
<description><![CDATA[Learn how HeyGen creates avatar videos from scripts and documents, translates videos with lip sync, handles pricing and credits, and supports business workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:49 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:49 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Notion AI: Workspace Search, Writing and Workflow Automation</title>
<link>https://llms.ninja/tools/notion-ai</link>
<description><![CDATA[Learn how Notion AI handles workspace search, writing, meeting notes, file analysis, databases, agents, pricing, platforms and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:47 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:47 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Runway: AI Video, Image and Audio Creation Platform</title>
<link>https://llms.ninja/tools/runway</link>
<description><![CDATA[Learn what Runway does, how its video, image and audio tools work, how credits and plans are structured, and which creators and teams it suits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:42 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:42 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Botpress: AI Agent Builder, Workflows, Integrations and Pricing</title>
<link>https://llms.ninja/tools/botpress</link>
<description><![CDATA[Learn what Botpress does, how its AI agents use knowledge bases and workflows, who it suits, deployment options, pricing, limits, and data considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:40 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:40 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>ElevenLabs: AI Voice Generation, Cloning and Dubbing</title>
<link>https://llms.ninja/tools/elevenlabs</link>
<description><![CDATA[Learn what ElevenLabs does, including AI voice generation, cloning, transcription, dubbing, agents, pricing, platforms, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:38 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:38 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Gamma: AI Presentations, Documents and Web Pages</title>
<link>https://llms.ninja/tools/gamma</link>
<description><![CDATA[Learn how Gamma creates presentations, documents, webpages, social posts, and images, including pricing, integrations, limitations, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:35 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:35 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Perplexity: AI Search, Research and Cited Answers</title>
<link>https://llms.ninja/tools/perplexity</link>
<description><![CDATA[Learn what Perplexity does, how its cited AI search and Deep Research work, who it suits, pricing, platforms, privacy, and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:33 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:33 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Zapier Agents: AI Agents for No-Code Workflow Automation</title>
<link>https://llms.ninja/tools/zapier-agents</link>
<description><![CDATA[Learn how Zapier Agents builds no-code AI agents for web research, business data, app actions, triggers, schedules, and recurring workflow automation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:27 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:27 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Descript: AI Video and Audio Editing by Text</title>
<link>https://llms.ninja/tools/descript</link>
<description><![CDATA[Learn how Descript combines transcript-based video and audio editing, recording, transcription, AI cleanup, voice generation, dubbing, collaboration, and publishing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:07:05 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:07:05 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Cursor AI Code Editor: Agents, Features, Pricing and Privacy</title>
<link>https://llms.ninja/tools/cursor</link>
<description><![CDATA[Learn what Cursor does, how its AI coding agents work, pricing, platforms, integrations, privacy considerations, strengths and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 03:06:38 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 09:06:38 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Claude: AI Assistant for Research, Writing and Coding</title>
<link>https://llms.ninja/tools/claude</link>
<description><![CDATA[Learn what Claude does, including research, writing, coding, file analysis, artifacts, connected apps, pricing, platforms, and privacy considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Tuesday, 29 September 2026 02:52:08 GMT</pubDate>
<lastmod>Tuesday, 29 September 2026 08:52:08 GMT</lastmod>
<category><![CDATA[tools]]></category>
</item>
<item>
<title>Tencent Cloud TokenHub API Guide: Access, Features and Examples</title>
<link>https://llms.ninja/tencent/api</link>
<description><![CDATA[Learn how to use Tencent Cloud TokenHub for model APIs, including access, regional endpoints, authentication, pricing, streaming, tools, structured output, SDKs and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:49:13 GMT</pubDate>
<lastmod>Monday, 28 September 2026 07:05:02 GMT</lastmod>
<category><![CDATA[tencent/api]]></category>
</item>
<item>
<title>01.AI Overview: Yi Models, Platform, Access and Uses</title>
<link>https://llms.ninja/01-ai</link>
<description><![CDATA[Learn what 01.AI offers, including its Yi models, web platform, API, free access, enterprise tools, capabilities, privacy considerations and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:54:29 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:54:29 GMT</lastmod>
<category><![CDATA[01-ai]]></category>
</item>
<item>
<title>Gemini Plans: Compare Google AI Pricing, Features and Limits</title>
<link>https://llms.ninja/google-deepmind/plans</link>
<description><![CDATA[Compare Gemini’s free and paid Google AI plans, including pricing, model access, premium features, usage limits, storage and API billing differences.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:43:21 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:43:21 GMT</lastmod>
<category><![CDATA[google-deepmind/plans]]></category>
</item>
<item>
<title>Google DeepMind Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/google-deepmind/models</link>
<description><![CDATA[Explore and compare Google DeepMind models, families, modalities, capabilities, specifications, and access through Gemini, APIs, and Google Cloud.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:43:18 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:43:18 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Google DeepMind: Gemini Features, Free Access and Plans</title>
<link>https://llms.ninja/google-deepmind</link>
<description><![CDATA[Learn what Google DeepMind and Gemini offer, including free access, paid Google AI plans, research, file analysis, media creation, integrations, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:43:16 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:43:16 GMT</lastmod>
<category><![CDATA[google-deepmind]]></category>
</item>
<item>
<title>Reka AI Plans: Pricing, Features, and Access Options</title>
<link>https://llms.ninja/reka-ai/plans</link>
<description><![CDATA[Compare Reka AI's free Chat access, creator plans, business offerings, features, model access, usage limits, and separate API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:43:12 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:43:12 GMT</lastmod>
<category><![CDATA[reka-ai/plans]]></category>
</item>
<item>
<title>Reka AI Models: Compare Multimodal AI Models and Capabilities</title>
<link>https://llms.ninja/reka-ai/models</link>
<description><![CDATA[Explore and compare Reka AI models, families, modalities, deployment options, and capabilities across language, multimodal, research, and vision use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:43:08 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:43:08 GMT</lastmod>
<category><![CDATA[reka-ai/models]]></category>
</item>
<item>
<title>Reka AI: Chat, Video Intelligence, Features and Access</title>
<link>https://llms.ninja/reka-ai</link>
<description><![CDATA[Learn what Reka AI offers, including Reka Chat, Reka Clip, Reka Vision, free access, developer tools, video analysis, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:43:04 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:43:04 GMT</lastmod>
<category><![CDATA[reka-ai]]></category>
</item>
<item>
<title>EXAONE Showroom Plans: Access, Models and Commercial Options</title>
<link>https://llms.ninja/lg-ai-research/plans</link>
<description><![CDATA[Compare EXAONE Showroom access, open-weight model use, self-hosting and commercial API options from LG AI Research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:43:01 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:43:01 GMT</lastmod>
<category><![CDATA[lg-ai-research/plans]]></category>
</item>
<item>
<title>LG AI Research Models: Explore the EXAONE Model Catalog</title>
<link>https://llms.ninja/lg-ai-research/models</link>
<description><![CDATA[Explore LG AI Research models, including EXAONE language, reasoning, multimodal, open-weight, on-device, and specialist AI systems.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:58 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:58 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>LG AI Research and EXAONE: Models, Access and Capabilities</title>
<link>https://llms.ninja/lg-ai-research</link>
<description><![CDATA[Learn what LG AI Research offers through EXAONE, including free model access, multimodal capabilities, commercial options, deployment choices, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:55 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:55 GMT</lastmod>
<category><![CDATA[lg-ai-research]]></category>
</item>
<item>
<title>AI Tab Plans: NAVER Pricing, Features and Access</title>
<link>https://llms.ninja/naver/plans</link>
<description><![CDATA[Compare AI Tab's free access and NAVER Plus Membership, including features, model access, limits and the difference between consumer plans and APIs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:51 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:51 GMT</lastmod>
<category><![CDATA[naver/plans]]></category>
</item>
<item>
<title>NAVER Models: Explore AI Models and Capabilities</title>
<link>https://llms.ninja/naver/models</link>
<description><![CDATA[Explore NAVER's AI models, including HyperCLOVA X and related language, multimodal, speech, translation, and developer-focused capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:48 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:48 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>NAVER AI: AI Tab, Features, Free Access and CLOVA Studio</title>
<link>https://llms.ninja/naver</link>
<description><![CDATA[Learn how NAVER AI works, including AI Tab, Smart Lens, shopping and local search, free consumer access, privacy, and HyperCLOVA X developer tools.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:47 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:47 GMT</lastmod>
<category><![CDATA[naver]]></category>
</item>
<item>
<title>Aleph Alpha Plans, Pricing and Access Options</title>
<link>https://llms.ninja/aleph-alpha/plans</link>
<description><![CDATA[Compare Aleph Alpha access options, enterprise offerings, PhariaAI features, deployment models, usage terms and the difference between subscriptions and API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:38 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:38 GMT</lastmod>
<category><![CDATA[aleph-alpha/plans]]></category>
</item>
<item>
<title>Aleph Alpha Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/aleph-alpha/models</link>
<description><![CDATA[Explore and compare Aleph Alpha models, including language and multimodal AI offerings, capabilities, deployment options, and enterprise use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:35 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:35 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph Alpha: PhariaAI, Features, Pricing and Access</title>
<link>https://llms.ninja/aleph-alpha</link>
<description><![CDATA[Learn what Aleph Alpha and PhariaAI offer, including enterprise AI tools, document work, private deployment, pricing, free access, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:33 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:33 GMT</lastmod>
<category><![CDATA[aleph-alpha]]></category>
</item>
<item>
<title>Xiaomi HyperAI Plans, Access, Features, and Availability</title>
<link>https://llms.ninja/xiaomi/plans</link>
<description><![CDATA[Compare Xiaomi HyperAI access, supported devices, regional features and availability, plus the difference between HyperAI and Xiaomi MiMo API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:29 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:29 GMT</lastmod>
<category><![CDATA[xiaomi/plans]]></category>
</item>
<item>
<title>Xiaomi Models: AI Model Families and Capabilities</title>
<link>https://llms.ninja/xiaomi/models</link>
<description><![CDATA[Explore Xiaomi AI models and families across HyperAI and MiMo, comparing language, multimodal, speech, tool-use capabilities and access options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:24 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:24 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>Xiaomi HyperAI: Features, Access, Pricing and Limitations</title>
<link>https://llms.ninja/xiaomi</link>
<description><![CDATA[Learn what Xiaomi HyperAI can do, whether it is free, which devices support it, how regional limits work, and how Xiaomi MiMo differs for developers.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:22 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:22 GMT</lastmod>
<category><![CDATA[xiaomi]]></category>
</item>
<item>
<title>Falcon LLM Plans, Access Options, and Features</title>
<link>https://llms.ninja/tii/plans</link>
<description><![CDATA[Compare Falcon LLM's free model access, hosted experiences, deployment options, model capabilities, licensing considerations and separate cloud API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:19 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:19 GMT</lastmod>
<category><![CDATA[tii/plans]]></category>
</item>
<item>
<title>TII Models: Explore Falcon AI Models and Capabilities</title>
<link>https://llms.ninja/tii/models</link>
<description><![CDATA[Explore TII’s Falcon AI models, including language, multilingual, coding, vision, OCR, audio, and other multimodal systems for hosted or local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:16 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:16 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>TII and Falcon AI Models: Features, Access, Pricing, and Limitations</title>
<link>https://llms.ninja/tii</link>
<description><![CDATA[Learn what TII and its Falcon AI ecosystem offer, including free model access, chat, coding, OCR, vision, local deployment, cloud options, privacy, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:14 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:14 GMT</lastmod>
<category><![CDATA[tii]]></category>
</item>
<item>
<title>SenseNova Plans: Pricing, Models and Features</title>
<link>https://llms.ninja/sensetime/plans</link>
<description><![CDATA[Compare SenseNova's free and developing paid access options, including model availability, AI tools, usage limits and the difference between subscriptions and API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:10 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:10 GMT</lastmod>
<category><![CDATA[sensetime/plans]]></category>
</item>
<item>
<title>SenseTime Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/sensetime/models</link>
<description><![CDATA[Explore SenseTime models across language, multimodal, image, video, vision and enterprise AI, with capabilities and access details for comparison.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:06 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:06 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseTime: SenseNova, Features, Free Access and Limitations</title>
<link>https://llms.ninja/sensetime</link>
<description><![CDATA[Learn what SenseTime and SenseNova offer, including free access, chat, image and video creation, document tools, APIs, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:03 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:03 GMT</lastmod>
<category><![CDATA[sensetime]]></category>
</item>
<item>
<title>StepFun AI Plans: Pricing, Models, Features, and Limits</title>
<link>https://llms.ninja/stepfun/plans</link>
<description><![CDATA[Compare StepFun AI free and paid plans, including pricing, model access, premium tools, usage limits, regional availability, and separate API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:42:01 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:42:00 GMT</lastmod>
<category><![CDATA[stepfun/plans]]></category>
</item>
<item>
<title>StepFun Models: Compare AI Model Families and Capabilities</title>
<link>https://llms.ninja/stepfun/models</link>
<description><![CDATA[Explore and compare StepFun AI models across language, reasoning, multimodal, image, video, speech, and realtime capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:41:57 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:41:57 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>StepFun: Features, Free Access, Plans and API Overview</title>
<link>https://llms.ninja/stepfun</link>
<description><![CDATA[Learn what StepFun offers for chat, research, files, coding, image and video creation, voice, desktop agents, free access, subscriptions, privacy, and API use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:41:53 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:41:53 GMT</lastmod>
<category><![CDATA[stepfun]]></category>
</item>
<item>
<title>ByteDance Seed Plans: Pricing, Features and Access</title>
<link>https://llms.ninja/bytedance-seed/plans</link>
<description><![CDATA[Compare ByteDance Seed's free and paid AI access across Dola and Dreamina, including features, model access, usage limits and separate API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:41:50 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:41:50 GMT</lastmod>
<category><![CDATA[bytedance-seed/plans]]></category>
</item>
<item>
<title>ByteDance Seed Models: AI Model Catalog</title>
<link>https://llms.ninja/bytedance-seed/models</link>
<description><![CDATA[Explore and compare ByteDance Seed models across language, multimodal, image, video, audio, realtime, robotics, and specialist AI applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:41:48 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:41:48 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>ByteDance Seed: Models, Free Access, Dreamina, Dola and APIs</title>
<link>https://llms.ninja/bytedance-seed</link>
<description><![CDATA[Learn what ByteDance Seed offers through Dola, Dreamina, BytePlus and ModelArk, including free access, creative tools, coding, models, limitations and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:41:45 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:41:45 GMT</lastmod>
<category><![CDATA[bytedance-seed]]></category>
</item>
<item>
<title>Z.ai Chat Plans: Pricing, Features, Models, and Limits</title>
<link>https://llms.ninja/z-ai/plans</link>
<description><![CDATA[Compare Z.ai Chat's free and paid plans, including pricing, model access, coding features, usage limits, and the difference between subscriptions and API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:39:51 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:39:51 GMT</lastmod>
<category><![CDATA[z-ai/plans]]></category>
</item>
<item>
<title>Z.ai Models: GLM Families, Multimodal AI, and APIs</title>
<link>https://llms.ninja/z-ai/models</link>
<description><![CDATA[Explore and compare Z.ai models, including GLM language, reasoning, coding, multimodal, specialist, API, and open-weight offerings.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:39:50 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:39:50 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>Z.ai API Guide: GLM Models, Tools, Pricing, and Integration</title>
<link>https://llms.ninja/z-ai/api</link>
<description><![CDATA[Learn how to use the Z.ai API for GLM models, including API keys, chat completions, streaming, tools, structured output, multimodal input, pricing, SDKs, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:39:18 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:39:38 GMT</lastmod>
<category><![CDATA[z-ai/api]]></category>
</item>
<item>
<title>Wordtune Plans and Pricing: Compare Features and Limits</title>
<link>https://llms.ninja/ai21-labs/plans</link>
<description><![CDATA[Compare Wordtune's free and paid plans, including pricing, writing features, model access, usage limits, and business options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:38:11 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:38:11 GMT</lastmod>
<category><![CDATA[ai21-labs/plans]]></category>
</item>
<item>
<title>AI21 Labs Models: Compare Jamba and Enterprise AI Models</title>
<link>https://llms.ninja/ai21-labs/models</link>
<description><![CDATA[Explore and compare AI21 Labs models, including Jamba language models, capabilities, access methods, deployment options, and technical specifications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:38:08 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:38:08 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21 Labs: Wordtune, Jamba, Features, Plans and Uses</title>
<link>https://llms.ninja/ai21-labs</link>
<description><![CDATA[Learn what AI21 Labs offers, including Wordtune's free and paid writing tools, Jamba models, enterprise AI capabilities, deployment options, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:38:05 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:38:05 GMT</lastmod>
<category><![CDATA[ai21-labs]]></category>
</item>
<item>
<title>IBM watsonx Plans: Pricing, Features and Access Compared</title>
<link>https://llms.ninja/ibm/plans</link>
<description><![CDATA[Compare IBM watsonx free access and paid plans, including pricing, model access, usage limits, enterprise features and separate API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:38:02 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:38:02 GMT</lastmod>
<category><![CDATA[ibm/plans]]></category>
</item>
<item>
<title>IBM Models: Compare Granite and watsonx AI Models</title>
<link>https://llms.ninja/ibm/models</link>
<description><![CDATA[Explore and compare IBM's AI models, including Granite and selected third-party models, across language, code, embeddings, retrieval, modalities and enterprise use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:59 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:59 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM watsonx Overview: Features, Free Access and Pricing</title>
<link>https://llms.ninja/ibm</link>
<description><![CDATA[Learn what IBM watsonx offers, including free trials, enterprise AI tools, assistants, agents, governance, models, pricing, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:56 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:56 GMT</lastmod>
<category><![CDATA[ibm]]></category>
</item>
<item>
<title>Cerebras Plans: Pricing, Features and Access Compared</title>
<link>https://llms.ninja/cerebras/plans</link>
<description><![CDATA[Compare Cerebras free and paid plans, coding features, model access, usage limits and the difference between subscriptions and separate API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:53 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:53 GMT</lastmod>
<category><![CDATA[cerebras/plans]]></category>
</item>
<item>
<title>Cerebras Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/cerebras/models</link>
<description><![CDATA[Explore and compare Cerebras models, language and coding capabilities, access methods, deployment options, and specifications across its AI catalog.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:50 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:50 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras: Features, Free Access, Pricing and Uses</title>
<link>https://llms.ninja/cerebras</link>
<description><![CDATA[Learn what Cerebras offers, including free inference access, Cerebras Code, API tools, pricing, strengths, limitations, and who the platform is best for.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:47 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:47 GMT</lastmod>
<category><![CDATA[cerebras]]></category>
</item>
<item>
<title>Tencent Plans: AI API Pricing, Models and Features</title>
<link>https://llms.ninja/tencent/plans</link>
<description><![CDATA[Compare Tencent AI plan options, TokenHub API pricing, model access, quotas, enterprise features and the distinction between subscriptions and API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:43 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:43 GMT</lastmod>
<category><![CDATA[tencent/plans]]></category>
</item>
<item>
<title>Tencent Models: Compare Hunyuan AI Models and Capabilities</title>
<link>https://llms.ninja/tencent/models</link>
<description><![CDATA[Explore Tencent's AI models, including Hunyuan language and multimodal systems, with comparisons of capabilities, access methods and technical specifications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:38 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:38 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent AI and Yuanbao: Features, Pricing, Access, and Hunyuan</title>
<link>https://llms.ninja/tencent</link>
<description><![CDATA[Learn what Tencent AI offers through Yuanbao, Hunyuan, and TokenHub, including free features, developer access, capabilities, pricing, privacy considerations, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:36 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:36 GMT</lastmod>
<category><![CDATA[tencent]]></category>
</item>
<item>
<title>Baidu Models: Compare ERNIE and Multimodal AI Models</title>
<link>https://llms.ninja/baidu/models</link>
<description><![CDATA[Explore and compare Baidu's AI models, including ERNIE language, reasoning, multimodal, image, video, and developer-focused model offerings.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:29 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:29 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Baidu AI: 文心 Features, Free Access, Pricing and Qianfan</title>
<link>https://llms.ninja/baidu</link>
<description><![CDATA[Learn what Baidu's 文心 AI assistant does, what is free, how paid membership works, and how Qianfan supports developers and businesses.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:25 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:25 GMT</lastmod>
<category><![CDATA[baidu]]></category>
</item>
<item>
<title>Databricks Plans, Pricing and Features</title>
<link>https://llms.ninja/databricks/plans</link>
<description><![CDATA[Compare Databricks free, Premium and Enterprise plans, including pricing, model access, platform features, usage limits and business capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:19 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:19 GMT</lastmod>
<category><![CDATA[databricks/plans]]></category>
</item>
<item>
<title>Databricks Models: AI Model Catalog and Comparison</title>
<link>https://llms.ninja/databricks/models</link>
<description><![CDATA[Explore and compare Databricks models, model families, capabilities, deployment options, and specifications across its enterprise AI platform.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:15 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:15 GMT</lastmod>
<category><![CDATA[databricks/models]]></category>
</item>
<item>
<title>Databricks Overview: Features, Free Edition, Pricing and Uses</title>
<link>https://llms.ninja/databricks</link>
<description><![CDATA[Learn what Databricks is, what Free Edition includes, how paid usage works, and whether its data, analytics, machine-learning, and AI platform suits your needs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:09 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:09 GMT</lastmod>
<category><![CDATA[databricks]]></category>
</item>
<item>
<title>Ai2 Playground Plans, Pricing and Features</title>
<link>https://llms.ninja/allen-institute-for-ai/plans</link>
<description><![CDATA[Compare Ai2 Playground access, free availability, model options, usage considerations and the difference between consumer tools and developer APIs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:03 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:03 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/pl]]></category>
</item>
<item>
<title>Ai2 Models: Explore the Allen Institute AI Model Catalog</title>
<link>https://llms.ninja/allen-institute-for-ai/models</link>
<description><![CDATA[Explore Ai2 models across language, multimodal, speech, document, and scientific AI, with information on capabilities, access, licensing, and deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:37:01 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:37:01 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Allen Institute for AI (Ai2): Models, Tools, Access and Uses</title>
<link>https://llms.ninja/allen-institute-for-ai</link>
<description><![CDATA[Learn what the Allen Institute for AI provides, including free Ai2 tools, Semantic Scholar, OLMo, Molmo, research access, strengths, limitations, and developer options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:36:50 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:36:50 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai]]></category>
</item>
<item>
<title>NVIDIA AI Plans, Pricing and Features</title>
<link>https://llms.ninja/nvidia/plans</link>
<description><![CDATA[Compare NVIDIA AI access, including free RTX applications, enterprise licensing, hosted APIs, model availability, requirements and usage considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:36:45 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:36:45 GMT</lastmod>
<category><![CDATA[nvidia/plans]]></category>
</item>
<item>
<title>NVIDIA Models: Compare AI Models and Model Families</title>
<link>https://llms.ninja/nvidia/models</link>
<description><![CDATA[Explore and compare NVIDIA AI models, families, modalities, capabilities, deployment options, and specifications across the NVIDIA model catalog.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:36:42 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:36:42 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA AI: Consumer Tools, Developer Services, and Enterprise Options</title>
<link>https://llms.ninja/nvidia</link>
<description><![CDATA[Learn what NVIDIA AI offers, including free RTX apps, Project G-Assist, NVIDIA Broadcast, NIM, API access, pricing, requirements, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:36:41 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:36:41 GMT</lastmod>
<category><![CDATA[nvidia]]></category>
</item>
<item>
<title>Alice AI Plans: Pricing, Features and Limits</title>
<link>https://llms.ninja/yandex/plans</link>
<description><![CDATA[Compare Alice AI free and paid plans, including Alice Plus and Yandex 360 options, with regional availability, features, model access and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:36:38 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:36:38 GMT</lastmod>
<category><![CDATA[yandex/plans]]></category>
</item>
<item>
<title>Yandex Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/yandex/models</link>
<description><![CDATA[Explore and compare Yandex AI models, families, modalities, capabilities, and access options across consumer products and Yandex Cloud.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:36:35 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:36:35 GMT</lastmod>
<category><![CDATA[yandex/models]]></category>
</item>
<item>
<title>Yandex and Alice AI: Features, Access, Plans, and Uses</title>
<link>https://llms.ninja/yandex</link>
<description><![CDATA[Learn what Yandex and Alice AI can do, what free and paid access includes, how regional limits work, and how Yandex Cloud serves developers.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:36:34 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:36:34 GMT</lastmod>
<category><![CDATA[yandex]]></category>
</item>
<item>
<title>MiniMax Plans: Pricing, Features, Models, and Limits</title>
<link>https://llms.ninja/minimax/plans</link>
<description><![CDATA[Compare MiniMax free and paid plans, including pricing, model access, credits, features, usage limits, and the difference between consumer plans and API billing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:28 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:28 GMT</lastmod>
<category><![CDATA[minimax/plans]]></category>
</item>
<item>
<title>MiniMax Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/minimax/models</link>
<description><![CDATA[Explore and compare MiniMax models across language, coding, multimodal, image, video, speech, music, and agentic AI capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:25 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:25 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax: Features, Free Access, Products and Limitations</title>
<link>https://llms.ninja/minimax</link>
<description><![CDATA[Learn what MiniMax offers, including AI chat, coding, agents, image and video generation, audio tools, free access, paid plans, APIs, and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:22 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:22 GMT</lastmod>
<category><![CDATA[minimax]]></category>
</item>
<item>
<title>Kimi Plans: Compare Free and Paid Membership Tiers</title>
<link>https://llms.ninja/moonshot-ai/plans</link>
<description><![CDATA[Compare Kimi's free and paid plans, including membership pricing, model access, premium tools, usage credits and limits for individuals and businesses.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:18 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:18 GMT</lastmod>
<category><![CDATA[moonshot-ai/plans]]></category>
</item>
<item>
<title>Moonshot AI Models: Compare Kimi Models and Capabilities</title>
<link>https://llms.ninja/moonshot-ai/models</link>
<description><![CDATA[Explore and compare Moonshot AI models, including Kimi families, language and reasoning capabilities, multimodal support, access options, and specifications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:14 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:14 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Alexa+ Plans: Pricing, Features and Access Options</title>
<link>https://llms.ninja/amazon/plans</link>
<description><![CDATA[Compare Alexa+ free and paid access, Prime inclusion, supported devices, features, availability and how consumer plans differ from AWS API services.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:08 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:08 GMT</lastmod>
<category><![CDATA[amazon/plans]]></category>
</item>
<item>
<title>Amazon Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/amazon/models</link>
<description><![CDATA[Explore Amazon's AI models and compare model families, modalities, capabilities, access methods, and specifications across the AWS ecosystem.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:05 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:05 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon AI and Alexa+: Features, Pricing, Access, and Limitations</title>
<link>https://llms.ninja/amazon</link>
<description><![CDATA[Learn what Amazon Alexa+ does, who can use it for free, how Prime and paid access work, and how Amazon’s Bedrock, Q, and Nova platforms fit together.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:34:02 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:34:02 GMT</lastmod>
<category><![CDATA[amazon]]></category>
</item>
<item>
<title>Microsoft Copilot Plans, Pricing and Features</title>
<link>https://llms.ninja/microsoft/plans</link>
<description><![CDATA[Compare Microsoft Copilot free and paid plans, including Microsoft 365 options, features, model access, usage limits, and business offerings.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:55 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:55 GMT</lastmod>
<category><![CDATA[microsoft/plans]]></category>
</item>
<item>
<title>Microsoft Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/microsoft/models</link>
<description><![CDATA[Explore and compare Microsoft's AI models across language, reasoning, multimodal, image, audio, embedding, and specialist capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:46 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:46 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Microsoft Copilot: Features, Free Access, Plans, and Uses</title>
<link>https://llms.ninja/microsoft</link>
<description><![CDATA[Learn what Microsoft Copilot does, what free access includes, how Microsoft 365 plans differ, and how Copilot compares with specialized AI tools.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:44 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:44 GMT</lastmod>
<category><![CDATA[microsoft]]></category>
</item>
<item>
<title>North Plans: Cohere AI Pricing, Features and Enterprise Options</title>
<link>https://llms.ninja/cohere/plans</link>
<description><![CDATA[Compare North plans and enterprise options from Cohere, including deployment, AI features, model access, governance, support and usage considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:41 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:41 GMT</lastmod>
<category><![CDATA[cohere/plans]]></category>
</item>
<item>
<title>Cohere Models: Compare AI Model Families and Capabilities</title>
<link>https://llms.ninja/cohere/models</link>
<description><![CDATA[Explore and compare Cohere models for language generation, retrieval, reranking, multilingual AI, document understanding, and enterprise deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:39 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:39 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere: Enterprise AI, North, Models and Access</title>
<link>https://llms.ninja/cohere</link>
<description><![CDATA[Learn what Cohere offers, including North, enterprise AI models, document search, multilingual tools, free API access, pricing, privacy, and deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:36 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:36 GMT</lastmod>
<category><![CDATA[cohere]]></category>
</item>
<item>
<title>Mistral AI: Vibe, Features, Free Access and API</title>
<link>https://llms.ninja/mistral-ai</link>
<description><![CDATA[Learn what Mistral AI and Vibe can do, including free access, web research, file analysis, image generation, coding, privacy, paid plans, and API options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:25 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:24 GMT</lastmod>
<category><![CDATA[mistral-ai]]></category>
</item>
<item>
<title>Vibe Plans: Mistral AI Pricing, Features, and Limits</title>
<link>https://llms.ninja/mistral-ai/plans</link>
<description><![CDATA[Compare Vibe's free and paid Mistral AI plans, including pricing, features, model access, usage limits, team options, and enterprise differences.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:13 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:13 GMT</lastmod>
<category><![CDATA[mistral-ai/plans]]></category>
</item>
<item>
<title>Mistral AI Models: Compare Model Families and Capabilities</title>
<link>https://llms.ninja/mistral-ai/models</link>
<description><![CDATA[Explore and compare Mistral AI models, including language, reasoning, multimodal, coding, document, embedding, image, and open-weight systems.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:09 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:09 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>DeepSeek Plans: Pricing, Features, Models, and Limits</title>
<link>https://llms.ninja/deepseek/plans</link>
<description><![CDATA[Compare DeepSeek's free access and any current paid plans, including pricing, model access, features, usage limits, and the separate API billing model.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:33:02 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:33:02 GMT</lastmod>
<category><![CDATA[deepseek/plans]]></category>
</item>
<item>
<title>DeepSeek Models: Compare AI Models and Capabilities</title>
<link>https://llms.ninja/deepseek/models</link>
<description><![CDATA[Explore and compare DeepSeek models, including language, reasoning, coding, vision capabilities, access options, and current technical specifications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:32:48 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:32:48 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek: Features, Free Access, Privacy and API Overview</title>
<link>https://llms.ninja/deepseek</link>
<description><![CDATA[Learn what DeepSeek does, what its free web and mobile services include, how its API works, and the main privacy, accuracy, and availability considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:32:40 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:32:39 GMT</lastmod>
<category><![CDATA[deepseek]]></category>
</item>
<item>
<title>Qwen Studio Plans: Pricing, Features and Model Access</title>
<link>https://llms.ninja/qwen/plans</link>
<description><![CDATA[Compare Qwen Studio's free and available paid plans, including pricing, model access, premium tools, usage limits, regional availability, and API differences.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:31:31 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:31:31 GMT</lastmod>
<category><![CDATA[qwen/plans]]></category>
</item>
<item>
<title>Alibaba Qwen Models: Explore the Qwen AI Model Catalog</title>
<link>https://llms.ninja/qwen/models</link>
<description><![CDATA[Explore Alibaba Qwen models across language, reasoning, multimodal, audio, image, video, specialist, and open-weight AI categories.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:31:22 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:31:22 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Alibaba Qwen: Features, Free Access, Apps and AI Models</title>
<link>https://llms.ninja/qwen</link>
<description><![CDATA[Learn what Alibaba Qwen offers, including free Qwen Studio access, writing, research, files, coding, image and video generation, apps, privacy, and developer APIs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:31:06 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:31:06 GMT</lastmod>
<category><![CDATA[qwen]]></category>
</item>
<item>
<title>xAI Models: Compare Grok and AI Model Families</title>
<link>https://llms.ninja/xai/models</link>
<description><![CDATA[Explore and compare xAI models, including Grok language and reasoning systems, multimodal models, media generation, voice, and API capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:30:39 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:30:39 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>xAI and Grok: Features, Free Access, Plans and Uses</title>
<link>https://llms.ninja/xai</link>
<description><![CDATA[Learn what xAI and Grok do, how free and paid access works, where to use them, key features, privacy considerations and important limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:30:30 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:30:30 GMT</lastmod>
<category><![CDATA[xai]]></category>
</item>
<item>
<title>Meta AI Review: Features, Free Access, Uses and Limitations</title>
<link>https://llms.ninja/meta-ai</link>
<description><![CDATA[Learn what Meta AI does, how to access it for free, which features it offers, its privacy trade-offs, changing limits and who should use it.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:29:49 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:29:49 GMT</lastmod>
<category><![CDATA[meta-ai]]></category>
</item>
<item>
<title>Anthropic Models: Compare Claude AI Models</title>
<link>https://llms.ninja/anthropic/models</link>
<description><![CDATA[Explore Anthropic's Claude models and compare their capabilities, modalities, specifications, access methods, and use cases across the current catalog.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:29:16 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:29:16 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>OpenAI Models: Compare AI Models, Families, and Capabilities</title>
<link>https://llms.ninja/openai/models</link>
<description><![CDATA[Explore and compare OpenAI models, including language, reasoning, vision, image, and audio capabilities across the API and ChatGPT ecosystem.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 11:08:04 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:25:10 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI: ChatGPT, Features, Free Access and API Overview</title>
<link>https://llms.ninja/openai</link>
<description><![CDATA[Learn what OpenAI and ChatGPT do, what free and paid plans include, how to get started, key features, privacy considerations, limitations, and developer API options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 11:07:13 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:19:01 GMT</lastmod>
<category><![CDATA[openai]]></category>
</item>
<item>
<title>ChatGPT Plans: Compare Pricing, Features and Limits</title>
<link>https://llms.ninja/openai/plans</link>
<description><![CDATA[Compare ChatGPT free and paid plans, including pricing, model access, premium tools, usage limits, business features, and enterprise options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Sunday, 27 September 2026 12:12:55 GMT</pubDate>
<lastmod>Sunday, 27 September 2026 06:12:55 GMT</lastmod>
<category><![CDATA[openai/plans]]></category>
</item>
<item>
<title>Mistral AI API Guide: Studio, Agents, Pricing, and SDKs</title>
<link>https://llms.ninja/mistral-ai/api</link>
<description><![CDATA[Learn how to use the Mistral AI API for chat, streaming, tools, structured outputs, vision, documents, agents, pricing, SDKs, and production workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:10:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:10:29 GMT</lastmod>
<category><![CDATA[mistral-ai/api]]></category>
</item>
<item>
<title>Cohere API Guide: Chat, RAG, Tools, Embeddings and Agents</title>
<link>https://llms.ninja/cohere/api</link>
<description><![CDATA[Learn how to use Cohere API v2 for chat, RAG, embeddings, reranking, streaming, structured output, image input and enterprise deployments.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:10:18 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:10:18 GMT</lastmod>
<category><![CDATA[cohere/api]]></category>
</item>
<item>
<title>Microsoft Foundry API Guide: Azure OpenAI, Responses API and Agents</title>
<link>https://llms.ninja/microsoft/api</link>
<description><![CDATA[A beginner-friendly guide to Microsoft Foundry API, covering Azure OpenAI Responses API, authentication, SDKs, pricing, streaming, tools, files, structured outputs, agents, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:10:05 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:10:05 GMT</lastmod>
<category><![CDATA[microsoft/api]]></category>
</item>
<item>
<title>Amazon Bedrock API: Features, Pricing, SDKs and Examples</title>
<link>https://llms.ninja/amazon/api</link>
<description><![CDATA[Learn how to use the Amazon Bedrock API, including Converse, streaming, tools, structured outputs, authentication, pricing, SDKs, playgrounds and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:09:34 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:09:34 GMT</lastmod>
<category><![CDATA[amazon/api]]></category>
</item>
<item>
<title>Moonshot AI API Guide: Kimi Platform, Models, Pricing and Examples</title>
<link>https://llms.ninja/moonshot-ai/api</link>
<description><![CDATA[Learn how to use Moonshot AI's Kimi API Platform, including access, API keys, models, token billing, SDKs, streaming, tools, files, JSON output, limits, and privacy.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:09:22 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:09:22 GMT</lastmod>
<category><![CDATA[moonshot-ai/api]]></category>
</item>
<item>
<title>MiniMax API Guide: Models, Pricing, Features, and Integration</title>
<link>https://llms.ninja/minimax/api</link>
<description><![CDATA[Learn how to use the MiniMax API, including API keys, M3, compatible SDKs, pricing, streaming, tools, files, multimodal input, media workflows, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:09:10 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:09:10 GMT</lastmod>
<category><![CDATA[minimax/api]]></category>
</item>
<item>
<title>DeepSeek API Guide: Models, Pricing, Features, and Code Examples</title>
<link>https://llms.ninja/deepseek/api</link>
<description><![CDATA[A practical guide to the DeepSeek developer API, covering access, models, token pricing, streaming, tool calls, JSON Output, vision, files, SDKs, limits, privacy, and integration.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:08:31 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:08:31 GMT</lastmod>
<category><![CDATA[deepseek/api]]></category>
</item>
<item>
<title>Qwen API Guide: Alibaba Cloud Model Studio Developer Platform</title>
<link>https://llms.ninja/qwen/api</link>
<description><![CDATA[Learn how to use the Qwen API through Alibaba Cloud Model Studio, including regional keys, endpoints, pricing, SDKs, streaming, tools, structured output, files, and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:08:13 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:08:13 GMT</lastmod>
<category><![CDATA[qwen/api]]></category>
</item>
<item>
<title>xAI API Guide: Grok Pricing, Tools, SDKs and Examples</title>
<link>https://llms.ninja/xai/api</link>
<description><![CDATA[Learn how to use the xAI API for Grok text, reasoning, search, files, tools, structured outputs and media, with pricing, SDK and production guidance.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:07:46 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:07:46 GMT</lastmod>
<category><![CDATA[xai/api]]></category>
</item>
<item>
<title>Meta Model API: Pricing, Features, SDKs, and Guide</title>
<link>https://llms.ninja/meta-ai/api</link>
<description><![CDATA[Learn how to use Meta Model API, including authentication, Responses API requests, pricing, streaming, tools, files, structured outputs, SDKs, rate limits, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:07:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:07:29 GMT</lastmod>
<category><![CDATA[meta-ai/api]]></category>
</item>
<item>
<title>Anthropic Claude API Guide: Access, Features, Pricing and Examples</title>
<link>https://llms.ninja/anthropic/api</link>
<description><![CDATA[Beginner-friendly guide to Anthropic's Claude API, covering access, Messages API requests, SDKs, streaming, tools, files, structured outputs, pricing and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:06:49 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:06:49 GMT</lastmod>
<category><![CDATA[anthropic/api]]></category>
</item>
<item>
<title>OpenAI API Guide: Responses, Tools, Pricing, and Examples</title>
<link>https://llms.ninja/openai/api</link>
<description><![CDATA[Beginner-friendly guide to the current OpenAI API, covering Responses, authentication, SDKs, streaming, tools, files, structured outputs, pricing, limits, and production use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:06:11 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:06:11 GMT</lastmod>
<category><![CDATA[openai/api]]></category>
</item>
<item>
<title>Aleph Alpha PhariaAI API Guide for Developers</title>
<link>https://llms.ninja/aleph-alpha/api</link>
<description><![CDATA[Learn how Aleph Alpha’s PhariaAI API works, including access, bearer tokens, inference, streaming, structured output, function calling, files, SDKs, pricing, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:53:39 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:53:39 GMT</lastmod>
<category><![CDATA[aleph-alpha/api]]></category>
</item>
<item>
<title>TII Falcon API Guide: Access, Models, Pricing, and Deployment</title>
<link>https://llms.ninja/tii/api</link>
<description><![CDATA[Learn how to use TII Falcon models through self-hosting, Amazon Bedrock, and SageMaker, including credentials, Python examples, streaming, capabilities, pricing, and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:53:36 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:53:35 GMT</lastmod>
<category><![CDATA[tii/api]]></category>
</item>
<item>
<title>SenseNova API Guide: Endpoints, Access, Pricing and Limits</title>
<link>https://llms.ninja/sensetime/api</link>
<description><![CDATA[Learn how to use SenseTime's SenseNova API, including API keys, image generation, editing, multimodal input, streaming, quotas, SDK options and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:53:32 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:53:32 GMT</lastmod>
<category><![CDATA[sensetime/api]]></category>
</item>
<item>
<title>AI21 Studio API Guide: Jamba, Maestro, SDKs and Developer Features</title>
<link>https://llms.ninja/ai21-labs/api</link>
<description><![CDATA[Learn how to use the AI21 Studio API with Jamba chat completions, API keys, streaming, tools, files, RAG, Maestro, SDKs, pricing, and deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:53:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:53:29 GMT</lastmod>
<category><![CDATA[ai21-labs/api]]></category>
</item>
<item>
<title>Baidu Qianfan API Guide: Access, Features, Pricing and Examples</title>
<link>https://llms.ninja/baidu/api</link>
<description><![CDATA[Learn how to use the Baidu Qianfan API, including v2 chat completions, API keys, model selection, streaming, tools, files, Agents, pricing, SDKs, and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:52:42 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:52:42 GMT</lastmod>
<category><![CDATA[baidu/api]]></category>
</item>
<item>
<title>Google Gemini API Guide: Interactions API, SDKs, Tools and Pricing</title>
<link>https://llms.ninja/google-deepmind/api</link>
<description><![CDATA[Beginner-friendly guide to the Google Gemini API, covering Interactions API requests, API keys, SDKs, streaming, files, tools, structured output, pricing, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:51:22 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:51:22 GMT</lastmod>
<category><![CDATA[google-deepmind/api]]></category>
</item>
<item>
<title>Reka API Guide: Pricing, Models, Vision, Tools, and SDKs</title>
<link>https://llms.ninja/reka-ai/api</link>
<description><![CDATA[Learn how to use the Reka API, including Chat, Gateway, Research, and Vision services, authentication, pricing, multimodal input, streaming, tools, structured output, SDKs, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:51:11 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:51:11 GMT</lastmod>
<category><![CDATA[reka-ai/api]]></category>
</item>
<item>
<title>EXAONE API through FriendliAI: Access, Pricing, SDKs and Examples</title>
<link>https://llms.ninja/lg-ai-research/api</link>
<description><![CDATA[Learn how to use the EXAONE 4.0 API through FriendliAI, including authentication, Python examples, streaming, tool calling, pricing, files, limits, and self-hosting.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:51:08 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:51:08 GMT</lastmod>
<category><![CDATA[lg-ai-research/api]]></category>
</item>
<item>
<title>CLOVA Studio API Guide: Access, Features, Examples and Limits</title>
<link>https://llms.ninja/naver/api</link>
<description><![CDATA[Learn how to use the current NAVER CLOVA Studio API, including access, API keys, Chat Completions v3, OpenAI compatibility, streaming, tools, structured outputs, pricing and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:51:03 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:51:03 GMT</lastmod>
<category><![CDATA[naver/api]]></category>
</item>
<item>
<title>Xiaomi MiMo API: Models, Pricing, Tools, and Integration Guide</title>
<link>https://llms.ninja/xiaomi/api</link>
<description><![CDATA[Learn how to use Xiaomi MiMo API with current V2.6 models, API keys, pricing, streaming, tool calling, web search, JSON output, image input, and batch inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:51:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:51:00 GMT</lastmod>
<category><![CDATA[xiaomi/api]]></category>
</item>
<item>
<title>Cerebras Inference API Guide: SDKs, Pricing and Examples</title>
<link>https://llms.ninja/cerebras/api</link>
<description><![CDATA[Learn how to use the Cerebras Inference API, including API keys, SDKs, chat completions, streaming, tool calling, structured outputs, files, pricing, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:49:25 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:49:25 GMT</lastmod>
<category><![CDATA[cerebras/api]]></category>
</item>
<item>
<title>StepFun API Guide: Models, Pricing, Tools, Streaming, and SDKs</title>
<link>https://llms.ninja/stepfun/api</link>
<description><![CDATA[A practical guide to the StepFun Open Platform API, covering access, models, pricing, SDKs, streaming, tools, files, structured outputs, limits, and production considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:49:03 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:49:03 GMT</lastmod>
<category><![CDATA[stepfun/api]]></category>
</item>
<item>
<title>ByteDance Seed API: BytePlus ModelArk Developer Guide</title>
<link>https://llms.ninja/bytedance-seed/api</link>
<description><![CDATA[Learn how to use ByteDance Seed models through BytePlus ModelArk, including API keys, models, pricing, streaming, tools, files, structured outputs, SDKs, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:48:54 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:48:54 GMT</lastmod>
<category><![CDATA[bytedance-seed/api]]></category>
</item>
<item>
<title>IBM watsonx.ai API Guide: Features, Pricing, SDKs and Examples</title>
<link>https://llms.ninja/ibm/api</link>
<description><![CDATA[Learn how to use the IBM watsonx.ai API, including IAM authentication, REST and SDK examples, chat, streaming, tools, structured output, pricing and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:48:43 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:48:43 GMT</lastmod>
<category><![CDATA[ibm/api]]></category>
</item>
<item>
<title>Databricks API and Developer Platform Guide</title>
<link>https://llms.ninja/databricks/api</link>
<description><![CDATA[Learn how to use the Databricks API, Model Serving, Foundation Model APIs, OpenAI-compatible clients, agents, files, authentication, pricing, limits, and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:48:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:48:09 GMT</lastmod>
<category><![CDATA[databricks/api]]></category>
</item>
<item>
<title>OlmoEarth API Guide: Ai2 Geospatial Developer Platform</title>
<link>https://llms.ninja/allen-institute-for-ai/api</link>
<description><![CDATA[Learn how to access and use Ai2's OlmoEarth API, including authentication, GeoJSON areas, requests, pricing, capabilities, SDK options, and production limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:47:54 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:47:54 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/ap]]></category>
</item>
<item>
<title>NVIDIA API Catalog and NIM Developer API Guide</title>
<link>https://llms.ninja/nvidia/api</link>
<description><![CDATA[Learn how to use NVIDIA API Catalog and NIM, including API keys, hosted inference, OpenAI-compatible requests, streaming, tools, structured outputs, pricing, SDKs, and self-hosting.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:46:45 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:46:45 GMT</lastmod>
<category><![CDATA[nvidia/api]]></category>
</item>
<item>
<title>Yandex AI Studio API Guide: Features, Pricing and SDKs</title>
<link>https://llms.ninja/yandex/api</link>
<description><![CDATA[Learn how to use the Yandex AI Studio API, including authentication, OpenAI compatibility, pricing, streaming, structured output, tools, agents, files, SDKs, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 09:44:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 03:44:09 GMT</lastmod>
<category><![CDATA[yandex/api]]></category>
</item>
<item>
<title>HyperCLOVA X SEED 0.5B: Lightweight Korean Open-Weight Model</title>
<link>https://llms.ninja/naver/models/hyperclova-x-seed-0-5b</link>
<description><![CDATA[Learn how NAVER’s HyperCLOVA X SEED 0.5B handles Korean conversation, deployment, context limits, pricing, strengths, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:56:17 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:56:17 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>K-EXAONE 2.0 750B-A37B: Long-Context Open-Weight MoE Model</title>
<link>https://llms.ninja/lg-ai-research/models/k-exaone-2-0-750b-a37b</link>
<description><![CDATA[K-EXAONE-2.0-750B-A37B is LG AI Research’s 750B-parameter open-weight MoE model with 37B active parameters, a 262K context window, reasoning, multilingual text support and tool calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:56:13 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:56:13 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE Path 2.0: LG AI Research Pathology Foundation Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-path-2-0</link>
<description><![CDATA[EXAONE Path 2.0 is LG AI Research's open pathology foundation model for whole-slide image representations, biomarker prediction, and biomedical research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:56:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:56:09 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>GPT-4.5 Preview: OpenAI Model Capabilities, Pricing, and Retirement</title>
<link>https://llms.ninja/openai/models/gpt-4-5-preview</link>
<description><![CDATA[GPT-4.5 Preview was OpenAI’s large general-purpose model for natural communication, creativity, vision input, and tool use. Learn its limits, pricing, and API retirement status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:56:07 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:56:07 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Gemini 3.5 Transcribe: Multilingual Speech-to-Text Model</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-5-transcribe</link>
<description><![CDATA[Gemini 3.5 Transcribe is Google's speech-to-text model for 85+ languages, code-switching, diarization, timestamps, smart formatting, and custom vocabulary.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:56:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:56:04 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 2.5 Flash: Google’s Fast, Large-Context Reasoning Model</title>
<link>https://llms.ninja/google-deepmind/models/gemini-2-5-flash</link>
<description><![CDATA[Gemini 2.5 Flash combines multimodal input, configurable thinking, a 1-million-token context window, tool use, structured outputs, and low-cost API processing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:56:01 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:56:01 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Nano Banana: Gemini 2.5 Flash Image for Fast Image Editing</title>
<link>https://llms.ninja/google-deepmind/models/nano-banana</link>
<description><![CDATA[Nano Banana, formerly Gemini 2.5 Flash Image, supports fast text-and-image generation and conversational editing but is deprecated and scheduled to shut down in 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:59 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:59 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 2.5 Flash TTS: Fast, Controllable Speech Generation</title>
<link>https://llms.ninja/google-deepmind/models/gemini-2-5-flash-tts</link>
<description><![CDATA[Gemini 2.5 Flash TTS is Google's preview text-to-speech model for low-latency audio generation, controllable delivery, narration, voice assistants and multi-speaker dialogue.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:56 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:56 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 2.5 Flash-Lite for Fast, Low-Cost Multimodal Processing</title>
<link>https://llms.ninja/google-deepmind/models/gemini-2-5-flash-lite</link>
<description><![CDATA[Explore Gemini 2.5 Flash-Lite's pricing, 1M-token context, multimodal inputs, API tools, limitations, and best use cases for high-volume inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:53 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:53 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 2.5 Pro TTS for High-Fidelity Speech Generation</title>
<link>https://llms.ninja/google-deepmind/models/gemini-2-5-pro-tts</link>
<description><![CDATA[Gemini 2.5 Pro TTS is Google's preview text-to-speech model for expressive single-speaker and multi-speaker audio generation, with documented limits and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:48 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:48 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Veo 3.1: Native Audio Video Generation, Pricing and Limits</title>
<link>https://llms.ninja/google-deepmind/models/veo-3-1</link>
<description><![CDATA[Veo 3.1 creates short videos from text, images, and supported video inputs with native audio, reference controls, scene extension, vertical output, and 4K options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:45 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:45 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Veo 3.1 Fast: Fast Video Generation with Native Audio</title>
<link>https://llms.ninja/google-deepmind/models/veo-3-1-fast</link>
<description><![CDATA[Veo 3.1 Fast generates short videos with native audio from text and images, supporting 720p and 1080p output, portrait and landscape formats, and per-second pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:43 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:43 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Veo 3.1 Lite: Cost-Efficient Video Generation with Native Audio</title>
<link>https://llms.ninja/google-deepmind/models/veo-3-1-lite</link>
<description><![CDATA[Veo 3.1 Lite is Google DeepMind's preview video model for affordable text-to-video and image-to-video generation with native audio and 720p or 1080p output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:41 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:41 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Lyria 3 Clip: Verified Information and Documentation Status</title>
<link>https://llms.ninja/google-deepmind/models/lyria-3-clip</link>
<description><![CDATA[Lyria 3 Clip is listed under Google DeepMind, but supplied research does not verify its purpose, capabilities, pricing, access, or technical specifications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:36 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:36 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Lyria 3 Pro: Full-Length AI Music Generation from Text and Images</title>
<link>https://llms.ninja/google-deepmind/models/lyria-3-pro</link>
<description><![CDATA[Lyria 3 Pro is Google DeepMind's public-preview music model for generating songs up to three minutes from text and image prompts, with vocals, lyrics, structure, and tempo controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:33 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:33 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 2.5 Computer Use: Google’s Legacy Browser-Automation Model</title>
<link>https://llms.ninja/google-deepmind/models/gemini-2-5-computer-use</link>
<description><![CDATA[Learn what Gemini 2.5 Computer Use does, including screenshot input, UI-action function calls, token limits, pricing, safety requirements, and legacy-preview status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:31 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:31 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini Deep Research Max: Google’s Comprehensive Research Agent</title>
<link>https://llms.ninja/google-deepmind/models/gemini-deep-research-max</link>
<description><![CDATA[Gemini Deep Research Max is Google’s preview research agent for multi-step investigations, cited reports, multimodal inputs, external tools, and asynchronous API workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:28 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:28 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini Embedding 2: Multimodal Embeddings for Cross-Modal Search</title>
<link>https://llms.ninja/google-deepmind/models/gemini-embedding-2</link>
<description><![CDATA[Gemini Embedding 2 maps text, images, video, audio, and PDFs into a shared vector space for cross-modal search, RAG, recommendations, and classification.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:27 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:27 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini Robotics ER 2: High-Level Reasoning for Robots</title>
<link>https://llms.ninja/google-deepmind/models/gemini-robotics-er-2</link>
<description><![CDATA[Gemini Robotics ER 2 is Google DeepMind’s embodied reasoning model for spatial understanding, multi-step robot planning, video progress tracking, tool use, and multi-robot coordination.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:55:23 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:55:23 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Luminous Supreme Control: Aleph Alpha Zero-Shot Model</title>
<link>https://llms.ninja/aleph-alpha/models/luminous-supreme-control</link>
<description><![CDATA[Luminous Supreme Control is Aleph Alpha’s 70B instruction-tuned multilingual model for zero-shot text tasks, with a 2,048-token context and legacy pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:54:17 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:54:17 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>HCX-005 Review: NAVER Cloud’s HyperCLOVA X Vision Model</title>
<link>https://llms.ninja/naver/models/hcx-005</link>
<description><![CDATA[Explore HCX-005, NAVER Cloud’s multimodal HyperCLOVA X model for Korean business applications, image understanding, function calling, tuning, limits, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:54:13 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:54:13 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HCX-DASH-001: Fast, Low-Cost Korean Text Model</title>
<link>https://llms.ninja/naver/models/hcx-dash-001</link>
<description><![CDATA[Learn how NAVER Cloud’s HCX-DASH-001 lightweight HyperCLOVA X model handles Korean text generation, its 4,096-token limit, pricing status, uses and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:54:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:54:09 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HyperCLOVA X SEED 8B Omni: NAVER’s Open-Weight Omnimodal Model</title>
<link>https://llms.ninja/naver/models/hyperclova-x-seed-8b-omni</link>
<description><![CDATA[Explore NAVER’s HyperCLOVA X SEED 8B Omni, an open-weight 8B model for Korean-first text, image, video, and speech understanding and generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:54:06 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:54:06 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>EXAONE-4.0-32B Review: Open-Weight Korean Reasoning Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-4-0-32b</link>
<description><![CDATA[Learn about EXAONE-4.0-32B from LG AI Research, including its 131K context window, reasoning modes, tool use, deployment options, pricing, license, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:54:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:54:04 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-Deep-32B: Open-Weight Reasoning Model for Math and Coding</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-deep-32b</link>
<description><![CDATA[Learn about EXAONE-Deep-32B, LG AI Research’s open-weight reasoning model for mathematics, science, coding, local deployment, benchmarks, limits, and licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:54:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:54:00 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-Deep-7.8B: Open-Weight Reasoning Model for Math and Code</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-deep-7-8b</link>
<description><![CDATA[Learn how LG AI Research's EXAONE-Deep-7.8B handles reasoning, mathematics, science and coding, with 32K context, local deployment and non-commercial licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:57 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:57 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-Deep-2.4B: Local Reasoning Model for Math and Coding</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-deep-2-4b</link>
<description><![CDATA[EXAONE-Deep-2.4B is LG AI Research's compact open-weight reasoning model for mathematics, coding, and local deployment, with a 32,768-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:54 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:54 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>K-EXAONE-236B-A23B: 236B MoE Model with 256K Context</title>
<link>https://llms.ninja/lg-ai-research/models/k-exaone-236b-a23b</link>
<description><![CDATA[K-EXAONE-236B-A23B is LG AI Research’s open-weight 236B MoE model with 23B active parameters, 256K context, reasoning modes, six languages, and tool calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:50 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:50 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-3.5-32B-Instruct: Bilingual Open-Weight Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-3-5-32b-instruct</link>
<description><![CDATA[Explore EXAONE-3.5-32B-Instruct from LG AI Research, including its English-Korean focus, 32K context, local deployment options, capabilities, and license.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:46 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:46 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-3.5-7.8B-Instruct: Bilingual Open-Weight Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-3-5-7-8b-instruct</link>
<description><![CDATA[Learn about EXAONE-3.5-7.8B-Instruct, LG AI Research’s English-Korean open-weight model with a 32K context window and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:43 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:43 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-3.5-2.4B-Instruct: Compact English-Korean Local Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-3-5-2-4b-instruct</link>
<description><![CDATA[Learn about EXAONE-3.5-2.4B-Instruct, LG AI Research’s compact English-Korean model with a 32K context window, local deployment options, and a research-focused license.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:39 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:39 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-3.0-7.8B-Instruct: Bilingual Open-Weight Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-3-0-7-8b-instruct</link>
<description><![CDATA[EXAONE-3.0-7.8B-Instruct is LG AI Research’s 7.8B-parameter English-Korean open-weight model for instruction following and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:36 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:36 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>Reka Edge Review: Fast, Low-Cost Image and Video Understanding</title>
<link>https://llms.ninja/reka-ai/models/reka-edge</link>
<description><![CDATA[Review of Reka Edge, a roughly 7B multimodal model for fast, low-cost image and video understanding, edge deployment, robotics, and physical AI.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:09 GMT</lastmod>
<category><![CDATA[reka-ai/models]]></category>
</item>
<item>
<title>Reka Flash: Fast Multimodal Model for Video and Document Analysis</title>
<link>https://llms.ninja/reka-ai/models/reka-flash</link>
<description><![CDATA[Reka Flash is a 21B multimodal model with 128K context, text, image, video, and audio input, structured output, function calling, and usage-based API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:06 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:06 GMT</lastmod>
<category><![CDATA[reka-ai/models]]></category>
</item>
<item>
<title>Reka Core: Long-Context Multimodal Reasoning Model</title>
<link>https://llms.ninja/reka-ai/models/reka-core</link>
<description><![CDATA[Explore Reka Core’s 128K context, text, image, video and audio inputs, API pricing, coding ability, availability, and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:53:01 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:53:01 GMT</lastmod>
<category><![CDATA[reka-ai/models]]></category>
</item>
<item>
<title>Reka Flash 3: Open 21B Reasoning Model for Fast, Local AI</title>
<link>https://llms.ninja/reka-ai/models/reka-flash-3</link>
<description><![CDATA[Reka Flash 3 is Reka AI's open 21B reasoning model for coding, function calling, low-latency inference, API use, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:57 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:57 GMT</lastmod>
<category><![CDATA[reka-ai/models]]></category>
</item>
<item>
<title>Reka Flash 3.1: Open-Weight 21B Coding and Reasoning Model</title>
<link>https://llms.ninja/reka-ai/models/reka-flash-3-1</link>
<description><![CDATA[Reka Flash 3.1 is a 21B Apache 2.0 reasoning model for coding, mathematics, local deployment, quantization, and agentic fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:54 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:54 GMT</lastmod>
<category><![CDATA[reka-ai/models]]></category>
</item>
<item>
<title>GPT-5.4-Cyber: Defensive Security Uses and API Shutdown</title>
<link>https://llms.ninja/openai/models/gpt-5-4-cyber</link>
<description><![CDATA[GPT-5.4-Cyber is OpenAI's restricted model for authorized defensive cybersecurity and binary reverse engineering. It is deprecated and shuts down October 1, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:50 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:50 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime: OpenAI’s Low-Latency Speech-to-Speech Model</title>
<link>https://llms.ninja/openai/models/gpt-realtime</link>
<description><![CDATA[GPT-Realtime is OpenAI’s realtime speech-to-speech model with audio and image input, function calling, WebRTC, WebSocket, SIP, and separate text and audio pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:42 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:42 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Audio: OpenAI’s Audio Chat Model, Pricing and Limits</title>
<link>https://llms.ninja/openai/models/gpt-audio</link>
<description><![CDATA[GPT-Audio is OpenAI’s deprecated Chat Completions model for text and audio input and output, streaming, function calling, pricing, limits, and migration planning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:39 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:39 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI o1 Preview: Reasoning Model History, Specs, Pricing, and Retirement</title>
<link>https://llms.ninja/openai/models/o1-preview</link>
<description><![CDATA[OpenAI o1 Preview was a text-only reasoning model with a 128K context window, 32,768-token output limit, tool support, and historical $15/$60 per-million-token pricing. API access ended July 28, 2025.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:37 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:37 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI o1-mini for STEM Reasoning and Coding</title>
<link>https://llms.ninja/openai/models/o1-mini</link>
<description><![CDATA[Evaluate OpenAI o1-mini, a low-cost text reasoning model for mathematics and coding with a 128K context window, API pricing, limitations, and deprecated status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:34 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:34 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Gemini 3.8 Flash for Agents and Software Engineering</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-8-flash</link>
<description><![CDATA[Gemini 3.8 Flash is Google DeepMind’s text-output model for agents, coding, and multimodal workflows, with a 1M-token context and configurable reasoning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:30 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:30 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.8 Live: Google’s Stable Real-Time Voice Model</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-8-live</link>
<description><![CDATA[Gemini 3.8 Live is Google’s stable low-latency model for live voice agents, native audio, multimodal input, streaming, Search grounding, and asynchronous tool use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:29 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.8 Live Extended Thinking for Complex Voice Agents</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-8-live-extended-thinking</link>
<description><![CDATA[Explore Gemini 3.8 Live Extended Thinking, Google's Live API model for multimodal voice agents with background reasoning, asynchronous tools, Search grounding, limits, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:26 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:26 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.8 Flash TTS for Expressive Long-Form Audio</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-8-flash-tts</link>
<description><![CDATA[Gemini 3.8 Flash TTS is Google DeepMind's audio-only model for expressive narration, multi-speaker dialogue, voice design, voice replication, and multilingual speech.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:21 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:21 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.8 Flash-Lite TTS for Fast, Scalable Speech Generation</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-8-flash-lite-tts</link>
<description><![CDATA[Gemini 3.8 Flash-Lite TTS is Google's cost-efficient text-to-speech model for high-volume audio, voice agents, read-aloud apps, and voice replication.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:19 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:19 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.7 Flash for Coding, Agents and Long-Context AI</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-7-flash</link>
<description><![CDATA[Gemini 3.7 Flash is Google DeepMind’s fast multimodal model for coding and AI agents, with a 1M-token context window, tool use, structured outputs and introductory API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:17 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:17 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.6 Flash: Google’s Fast Long-Context Model</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-6-flash</link>
<description><![CDATA[Gemini 3.6 Flash is a stable Google model for fast multimodal analysis, coding, tool use, and long-context applications, with a 1M-token input window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:12 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.5 Flash for Agentic Coding and Long-Context Work</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-5-flash</link>
<description><![CDATA[Gemini 3.5 Flash is Google DeepMind’s stable model for agentic workflows, coding, long-context multimodal analysis, structured outputs, and tool use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:10 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:10 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.5 Flash-Lite for Fast, Low-Cost Multimodal Work</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-5-flash-lite</link>
<description><![CDATA[Gemini 3.5 Flash-Lite is Google's fast, cost-efficient multimodal model for high-volume agentic tasks, document processing, translation, and data extraction.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:07 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:07 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.1 Flash-Lite for Fast, Low-Cost Multimodal Processing</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-1-flash-lite</link>
<description><![CDATA[Gemini 3.1 Flash-Lite is Google’s low-cost multimodal model for high-volume translation, extraction, classification, structured outputs, and lightweight tool use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:04 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Nano Banana 2: Fast Gemini Image Generation and Editing</title>
<link>https://llms.ninja/google-deepmind/models/nano-banana-2</link>
<description><![CDATA[Nano Banana 2 is Google DeepMind’s Gemini 3.1 Flash Image model for fast image generation, editing, search grounding, accurate text rendering, and 512px-to-4K output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:02 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:02 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Nano Banana 2 Lite: Fast, Low-Cost 1K Image Generation</title>
<link>https://llms.ninja/google-deepmind/models/nano-banana-2-lite</link>
<description><![CDATA[Nano Banana 2 Lite is Google's fast, low-cost Gemini image model for 1K generation, editing, image and video context, and high-volume interactive applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:52:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:52:00 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Nano Banana Pro: Google’s Gemini 3 Pro Image Model</title>
<link>https://llms.ninja/google-deepmind/models/nano-banana-pro</link>
<description><![CDATA[Learn how Nano Banana Pro, Google’s Gemini 3 Pro Image model, handles professional image generation, editing, 4K output, reference composition, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:59 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:58 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.1 Pro: Long-Context Reasoning and Coding Model</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-1-pro</link>
<description><![CDATA[Gemini 3.1 Pro is Google DeepMind’s preview reasoning model with a 1M-token context, multimodal inputs, advanced coding, tool use, grounding, and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:47 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:47 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3 Flash: Fast Long-Context Reasoning and Agentic Coding</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-flash</link>
<description><![CDATA[Gemini 3 Flash Preview combines a 1-million-token context window, multimodal input, configurable reasoning, tool use, and lower-cost pricing for coding and agentic workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:44 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:44 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.5 Live Translate: Real-Time Speech Translation</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-5-live-translate</link>
<description><![CDATA[Gemini 3.5 Live Translate is Google's preview audio-to-audio model for low-latency speech translation across more than 70 languages.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:41 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:41 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.1 Flash Live Preview for Real-Time Voice AI</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-1-flash-live-preview</link>
<description><![CDATA[Learn how Gemini 3.1 Flash Live Preview handles multimodal Live API sessions, audio output, pricing, thinking levels, tool use, limits, and migration trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:38 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:38 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini Robotics ER 2 Streaming for Real-Time Robotic Reasoning</title>
<link>https://llms.ninja/google-deepmind/models/gemini-robotics-er-2-streaming</link>
<description><![CDATA[Learn how Gemini Robotics ER 2 Streaming supports low-latency robotic reasoning with multimodal input, Gemini Live API streaming, function calling, limits, pricing, and safety considerations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:35 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:35 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini Embedding: Text Vectors for Semantic Search and RAG</title>
<link>https://llms.ninja/google-deepmind/models/gemini-embedding</link>
<description><![CDATA[Gemini Embedding creates configurable text vectors for semantic search, RAG, classification, clustering, and recommendations, with a 2,048-token limit and 2028 shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:30 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:30 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini Deep Research: Google's Agent for Cited Investigations</title>
<link>https://llms.ninja/google-deepmind/models/gemini-deep-research</link>
<description><![CDATA[Explore Gemini Deep Research, Google's preview agent for multi-step web research, cited reports, document analysis, code execution, visualizations and variable task pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:27 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:27 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Lyria RealTime: Interactive Instrumental Music Generation</title>
<link>https://llms.ninja/google-deepmind/models/lyria-realtime</link>
<description><![CDATA[Lyria RealTime is Google DeepMind's experimental model for streaming and steering instrumental music in real time through the Gemini API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:25 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:25 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Lyria 3.5: Google DeepMind’s Full-Length AI Music Model</title>
<link>https://llms.ninja/google-deepmind/models/lyria-3-5</link>
<description><![CDATA[Lyria 3.5 generates full-length songs from text or image prompts, producing vocals, lyrics, structured arrangements, and 44.1 kHz stereo MP3 audio through the Gemini API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:23 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:23 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 2.5 Pro: Long-Context Reasoning and Coding Model</title>
<link>https://llms.ninja/google-deepmind/models/gemini-2-5-pro</link>
<description><![CDATA[Gemini 2.5 Pro is Google DeepMind’s stable reasoning model with multimodal input, a 1M-token context window, advanced coding, tool use, structured outputs, and tiered API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:20 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:20 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 2.5 Flash Live for Real-Time Voice and Video Agents</title>
<link>https://llms.ninja/google-deepmind/models/gemini-2-5-flash-live</link>
<description><![CDATA[Gemini 2.5 Flash Live is Google's preview native-audio model for real-time voice and video agents, with streaming audio, reasoning, tools, and search grounding.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:18 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:18 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini Omni Flash: Fast Video Generation and Editing</title>
<link>https://llms.ninja/google-deepmind/models/gemini-omni-flash</link>
<description><![CDATA[Gemini Omni Flash is Google's multimodal video model for fast text-to-video, image-to-video, conversational editing, interpolation, extension, and upscaling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:51:08 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:51:08 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>Gemini 3.1 Flash TTS: Expressive Speech Generation and Pricing</title>
<link>https://llms.ninja/google-deepmind/models/gemini-3-1-flash-tts</link>
<description><![CDATA[Gemini 3.1 Flash TTS is Google's legacy preview model for expressive single- and multi-speaker text-to-speech, with audio tags, API access, and batch pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 07:50:16 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 01:50:16 GMT</lastmod>
<category><![CDATA[google-deepmind/models]]></category>
</item>
<item>
<title>EXAONE-4.0-1.2B: Compact Hybrid Reasoning Model for On-Device AI</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-4-0-1-2b</link>
<description><![CDATA[Explore LG AI Research’s EXAONE-4.0-1.2B, a compact open-weight text model with reasoning modes, a 65,536-token context, multilingual support, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:13:16 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:13:16 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>EXAONE-4.5-33B Review: Open-Weight Multimodal Model</title>
<link>https://llms.ninja/lg-ai-research/models/exaone-4-5-33b</link>
<description><![CDATA[Learn what EXAONE-4.5-33B supports, including image understanding, reasoning, coding, tool use, context limits, deployment options, licensing, and pricing availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:13:10 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:13:10 GMT</lastmod>
<category><![CDATA[lg-ai-research/models]]></category>
</item>
<item>
<title>HyperCLOVA X SEED 1.5B: Korean-Focused Local Model</title>
<link>https://llms.ninja/naver/models/hyperclova-x-seed-1-5b</link>
<description><![CDATA[Learn about NAVER's HyperCLOVA X SEED 1.5B, a compact Korean-focused text model with a 16K context window, downloadable weights, and a custom license.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:13:03 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:13:03 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HyperCLOVA X SEED 3B: Korean Vision-Language Model</title>
<link>https://llms.ninja/naver/models/hyperclova-x-seed-3b</link>
<description><![CDATA[Explore HyperCLOVA X SEED 3B, NAVER Cloud's compact open-weight model for Korean image and video understanding, local deployment, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:13:01 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:13:01 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HyperCLOVA X SEED 4B: Korean Omnimodal Edge AI Model</title>
<link>https://llms.ninja/naver/models/hyperclova-x-seed-4b</link>
<description><![CDATA[Learn how NAVER Cloud's HyperCLOVA X SEED 4B handles Korean multimodal understanding, video and audio analysis, edge deployment, use cases, and undisclosed API limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:59 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:59 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HyperCLOVA X SEED 14B Think: Korean Reasoning for Self-Hosted AI</title>
<link>https://llms.ninja/naver/models/hyperclova-x-seed-14b-think</link>
<description><![CDATA[Learn how HyperCLOVA X SEED 14B Think supports Korean reasoning, coding, mathematics, function calling, and commercial self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:53 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:53 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HyperCLOVA X SEED 32B Think: Model, Capabilities and Specifications</title>
<link>https://llms.ninja/naver/models/hyperclova-x-seed-32b-think</link>
<description><![CDATA[Research profile of NAVER's HyperCLOVA X SEED 32B Think, an open-weight 32B Korean-focused vision-language reasoning model with 128K context and agentic capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:50 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:50 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>clir-sts-dolphin: Naver CLOVA Studio Sentence Embedding Model</title>
<link>https://llms.ninja/naver/models/clir-sts-dolphin</link>
<description><![CDATA[clir-sts-dolphin is a Naver Cloud sentence-embedding model with 1,024-dimensional vectors, a 500-token input limit, and cosine-similarity optimization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:46 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:46 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>clir-emb-dolphin: NAVER Embedding Model for Semantic Search</title>
<link>https://llms.ninja/naver/models/clir-emb-dolphin</link>
<description><![CDATA[Learn how NAVER’s clir-emb-dolphin converts up to 500 tokens into 1,024-dimensional vectors for semantic search, retrieval, similarity, clustering, and classification.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:43 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:43 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HCX-003: NAVER's Compact HyperCLOVA X Text Model</title>
<link>https://llms.ninja/naver/models/hcx-003</link>
<description><![CDATA[Evaluate NAVER HCX-003, a text-only HyperCLOVA X model with an 8,192-token context limit, tuning and streaming support, and no native tools or reasoning mode.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:38 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:38 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HCX-DASH-002 Review: NAVER’s Fast Lightweight Text Model</title>
<link>https://llms.ninja/naver/models/hcx-dash-002</link>
<description><![CDATA[Learn what NAVER’s HCX-DASH-002 offers: 32K context, 4,096-token output, streaming, function calling, PEFT tuning, pricing status, and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:36 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:36 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>HCX-007 Review: NAVER’s Hybrid Reasoning Model</title>
<link>https://llms.ninja/naver/models/hcx-007</link>
<description><![CDATA[HCX-007 is NAVER’s text-only HyperCLOVA X reasoning model for complex analysis, mathematics, long documents, and Korean-language enterprise applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:31 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:31 GMT</lastmod>
<category><![CDATA[naver/models]]></category>
</item>
<item>
<title>Luminous-Explore Semantic Embedding Model for Search | Aleph Alpha</title>
<link>https://llms.ninja/aleph-alpha/models/luminous-explore</link>
<description><![CDATA[Learn how Aleph Alpha’s Luminous-Explore model creates semantic embeddings for search, retrieval, clustering, classification, and text similarity.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:27 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:27 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph Alpha luminous-supreme: 70B Multilingual Language Model</title>
<link>https://llms.ninja/aleph-alpha/models/luminous-supreme</link>
<description><![CDATA[Learn about Aleph Alpha luminous-supreme, a 70B multilingual Luminous model with historical Playground and API access and unverified current availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:25 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:25 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>luminous-extended: Aleph Alpha’s Historical 30B Model</title>
<link>https://llms.ninja/aleph-alpha/models/luminous-extended</link>
<description><![CDATA[Profile of Aleph Alpha luminous-extended, a historical 30B multilingual text-completion model covering benchmarks, languages, limitations, and availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:21 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:21 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph Alpha luminous-base: 13B Multilingual Language Model</title>
<link>https://llms.ninja/aleph-alpha/models/luminous-base</link>
<description><![CDATA[Learn about Aleph Alpha luminous-base, a 13B multilingual text model for completion, classification, and semantic representation, including its legacy status and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:18 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:18 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Luminous Extended Control: Aleph Alpha’s Steerable Text Model</title>
<link>https://llms.ninja/aleph-alpha/models/luminous-extended-control</link>
<description><![CDATA[Learn about Aleph Alpha Luminous Extended Control, an approximately 30B text-only model for steerable multilingual generation, summarization, classification, and question answering.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:15 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:15 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Luminous-Base-Control Review: Aleph Alpha’s Control Model</title>
<link>https://llms.ninja/aleph-alpha/models/luminous-base-control</link>
<description><![CDATA[Review of Aleph Alpha’s Luminous-Base-Control: its control-oriented purpose, verified text capabilities, legacy status, unknown limits, pricing, and practical use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:12 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph-Alpha GermanWeb Grammar Classifier fastText for German Corpus Filtering</title>
<link>https://llms.ninja/aleph-alpha/models/aleph-alpha-germanweb-grammar-classifier-fasttext</link>
<description><![CDATA[Review of Aleph Alpha's open-weight fastText classifier for German grammar-quality screening, including training data, outputs, performance, deployment, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:09 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph Alpha GermanWeb Quality Classifier fastText for German Data Filtering</title>
<link>https://llms.ninja/aleph-alpha/models/germanweb-quality-classifier-fasttext</link>
<description><![CDATA[Learn how Aleph Alpha's GermanWeb fastText classifier filters German documents by quality, including its labels, validation results, deployment model, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:05 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:05 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph-Alpha GermanWeb Grammar Classifier BERT for German Text Filtering</title>
<link>https://llms.ninja/aleph-alpha/models/aleph-alpha-germanweb-grammar-classifier-bert</link>
<description><![CDATA[Learn how Aleph-Alpha-GermanWeb-Grammar-Classifier-BERT filters German text using binary BERT classification, its 512-token limit, training data, license, and use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:02 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:02 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph Alpha GermanWeb Quality Classifier BERT for German Data Curation</title>
<link>https://llms.ninja/aleph-alpha/models/germanweb-quality-classifier-bert</link>
<description><![CDATA[Learn how Aleph Alpha's GermanWeb Quality Classifier BERT scores German documents from 1 to 5 for web-data filtering and language-model pretraining curation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:12:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:12:00 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Aleph Alpha MAGMA: Open Research Vision-Language Model</title>
<link>https://llms.ninja/aleph-alpha/models/magma</link>
<description><![CDATA[Aleph Alpha MAGMA is an open research vision-language model that combines image and text inputs through adapter-based fine-tuning and generates text.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:57 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:57 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Llama-3.1-70B-TFree-HAT-SFT: Aleph Alpha’s Tokenizer-Free Model</title>
<link>https://llms.ninja/aleph-alpha/models/llama-3-1-70b-tfree-hat-sft</link>
<description><![CDATA[Learn how Aleph Alpha’s Llama-3.1-70B-TFree-HAT-SFT uses a tokenizer-free HAT architecture for English and German text generation, including limits, deployment, licensing, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:54 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:54 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Llama-3.1-8B TFree HAT DPO: Tokenizer-Free Model Review</title>
<link>https://llms.ninja/aleph-alpha/models/llama-3-1-8b-tfree-hat-dpo</link>
<description><![CDATA[Review of Aleph Alpha's Llama-3.1-8B TFree HAT DPO, an open-weight tokenizer-free model for English and German instruction following.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:51 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:51 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Llama-3.1-8B TFree HAT SFT: Tokenizer-Free Model Overview</title>
<link>https://llms.ninja/aleph-alpha/models/llama-3-1-8b-tfree-hat-sft</link>
<description><![CDATA[Technical overview of Aleph Alpha's Llama-3.1-8B TFree HAT SFT, covering its tokenizer-free HAT architecture, English and German capabilities, limits, deployment, and license.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:49 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:49 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Llama-3.1-8B TFree HAT Base: Tokenizer-Free English-German Model</title>
<link>https://llms.ninja/aleph-alpha/models/llama-3-1-8b-tfree-hat-base</link>
<description><![CDATA[Learn how Aleph Alpha's Llama-3.1-8B TFree HAT Base uses byte- and word-level processing, including its context configuration, license, access, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:46 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:46 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Llama-TFree-HAT-Pretrained-7B-DPO Model Overview</title>
<link>https://llms.ninja/aleph-alpha/models/llama-tfree-hat-pretrained-7b-dpo</link>
<description><![CDATA[Research profile of Aleph Alpha’s 7B tokenizer-free HAT language model for English and German instruction following, including architecture, licensing, deployment, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:43 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:43 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>TFree-HAT-Pretrained-7B-Base: Tokenizer-Free Long-Context Model</title>
<link>https://llms.ninja/aleph-alpha/models/tfree-hat-pretrained-7b-base</link>
<description><![CDATA[Explore Aleph Alpha's 7.19B-parameter TFree-HAT-Pretrained-7B-Base, a tokenizer-free English and German research model with a 32,900-word context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:40 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:40 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Pharia-1-Embedding-4608-control-256 for Compact Vector Search</title>
<link>https://llms.ninja/aleph-alpha/models/pharia-1-embedding-4608-control-256</link>
<description><![CDATA[Review of Aleph Alpha's Pharia-1-Embedding-4608-control-256, an open-weight text embedding model with 256-dimensional vectors and a 2,048-token limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:11:39 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 07:11:39 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Pharia-1-Embedding-4608-control for Multilingual Semantic Search</title>
<link>https://llms.ninja/aleph-alpha/models/pharia-1-embedding-4608-control</link>
<description><![CDATA[Explore Aleph Alpha's Pharia-1-Embedding-4608-control, a 4,608-dimensional multilingual embedding model for search, retrieval, reranking, and clustering.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:11:52 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:11:52 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>Pharia-1-LLM-7B-control-aligned Model Overview</title>
<link>https://llms.ninja/aleph-alpha/models/pharia-1-llm-7b-control-aligned</link>
<description><![CDATA[Pharia-1-LLM-7B-control-aligned is Aleph Alpha's 7B multilingual, safety-aligned open-weight model for text generation and domain-specific NLP applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:11:14 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:11:14 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>MiMo-VL-7B-SFT-2508: Open-Weight Vision-Language Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-vl-7b-sft-2508</link>
<description><![CDATA[Learn how Xiaomi’s MiMo-VL-7B-SFT-2508 handles image and video understanding, 128K context, self-hosting, fine-tuning, licensing, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:11:11 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:11:11 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-Audio-7B-Base: Xiaomi’s Open-Weight Speech Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-audio-7b-base</link>
<description><![CDATA[Learn how MiMo-Audio-7B-Base handles few-shot audio-text tasks including speech continuation, voice conversion, translation and audio editing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:11:08 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:11:08 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.5-TTS-VoiceDesign: Text-Guided Custom Voice Generation</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-5-tts-voicedesign</link>
<description><![CDATA[MiMo-V2.5-TTS-VoiceDesign creates custom synthetic voices from natural-language descriptions, with expressive control and no reference audio required.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:11:06 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:11:06 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>Pharia-1-LLM-7B-control for Concise Multilingual Text Workflows</title>
<link>https://llms.ninja/aleph-alpha/models/pharia-1-llm-7b-control</link>
<description><![CDATA[Review of Aleph Alpha’s Pharia-1-LLM-7B-control: a 7.04B-parameter open-weight model for concise multilingual generation, extraction, and summarization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:40 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:40 GMT</lastmod>
<category><![CDATA[aleph-alpha/models]]></category>
</item>
<item>
<title>MiMo-V2-Flash-Base: Xiaomi’s Open-Weight 309B MoE Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-flash-base</link>
<description><![CDATA[MiMo-V2-Flash-Base is Xiaomi’s open-weight 309B MoE foundation model with 15B active parameters, a 256K context window and MIT licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:37 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:37 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-VL-7B-RL-2508: Open-Weight Image and Video Reasoning Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-vl-7b-rl-2508</link>
<description><![CDATA[MiMo-VL-7B-RL-2508 is Xiaomi MiMo’s MIT-licensed, approximately 8B vision-language model for local image, video, and multimodal reasoning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:31 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:31 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-Embodied-7B: Xiaomi’s Open Model for Embodied AI</title>
<link>https://llms.ninja/xiaomi/models/mimo-embodied-7b</link>
<description><![CDATA[MiMo-Embodied-7B is Xiaomi MiMo’s MIT-licensed 8B vision-language model for image, video, spatial reasoning, robotics, and autonomous-driving research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:16 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:16 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-Audio-7B-Instruct: Xiaomi’s Open-Weight Audio Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-audio-7b-instruct</link>
<description><![CDATA[Learn how Xiaomi’s MiMo-Audio-7B-Instruct handles audio understanding, speech dialogue and text-to-speech, plus its 8K context and local deployment requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:12 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.6-Distill-Qwen-9B: Open Local Coding and Agent Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-6-distill-qwen-9b</link>
<description><![CDATA[Explore Xiaomi MiMo’s open 9B model for coding agents, cybersecurity, visual coding and local deployment, with image input and a 262K-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:07 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:07 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.5-TTS-VoiceClone: Custom Voice Speech Synthesis</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-5-tts-voiceclone</link>
<description><![CDATA[MiMo-V2.5-TTS-VoiceClone creates expressive speech in a cloned voice from a short MP3 or WAV sample through Xiaomi's hosted API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:04 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.5-TTS: Xiaomi’s Expressive Text-to-Speech Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-5-tts</link>
<description><![CDATA[MiMo-V2.5-TTS generates expressive speech with built-in voices, natural-language style control, emotion cues, singing mode, and streaming audio output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:01 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:01 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.5-ASR: Xiaomi’s Speech Recognition Model for Difficult Audio</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-5-asr</link>
<description><![CDATA[MiMo-V2.5-ASR is Xiaomi MiMo’s speech-to-text model for Chinese, English, dialects, code-switching, lyrics, noisy recordings, and multi-speaker audio.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:10:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:10:00 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.5-Pro: Xiaomi’s 1M-Context Coding and Agent Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-5-pro</link>
<description><![CDATA[MiMo-V2.5-Pro is Xiaomi’s text-only coding and agent model with a 1-million-token context, tool use, web search, structured output, MIT-licensed deployment, and a scheduled 2026 API deprecation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:56 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 06:09:56 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.6-Pro UltraSpeed: Xiaomi’s Fast Multimodal Reasoning Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-6-pro-ultraspeed</link>
<description><![CDATA[MiMo-V2.6-Pro UltraSpeed is Xiaomi MiMo’s fast reasoning model with multimodal input, a 1-million-token context window, tool calling, web search, and text output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:29:36 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:29:36 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.6-Flash: Xiaomi’s Cost-Efficient Multimodal Model</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-6-flash</link>
<description><![CDATA[MiMo-V2.6-Flash is Xiaomi’s open-weight multimodal reasoning model with text, image, video, and audio input, a 1M-token context window, tool use, and low API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:29:31 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:29:31 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>MiMo-V2.6-Pro: Xiaomi’s Open-Source Model for Long-Horizon Agents</title>
<link>https://llms.ninja/xiaomi/models/mimo-v2-6-pro</link>
<description><![CDATA[MiMo-V2.6-Pro is Xiaomi MiMo’s open-source multimodal reasoning model with a 1M-token context, tool use, computer-use capabilities and MIT-licensed weights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:29:25 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:29:25 GMT</lastmod>
<category><![CDATA[xiaomi/models]]></category>
</item>
<item>
<title>Falcon3-7B-Base: Open 7B Model for Fine-Tuning and Self-Hosting</title>
<link>https://llms.ninja/tii/models/falcon3-7b-base</link>
<description><![CDATA[Explore Falcon3-7B-Base, TII's open 7B multilingual foundation model with a 32K context window for fine-tuning, research, and self-hosted text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:29:21 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:29:21 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon3-3B-Instruct: Compact Open-Weight Multilingual LLM</title>
<link>https://llms.ninja/tii/models/falcon3-3b-instruct</link>
<description><![CDATA[Falcon3-3B-Instruct is TII's 3B-parameter open-weight multilingual model with a 32K context window for chat, coding, reasoning, mathematics, and local inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:29:17 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:29:16 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon3-3B-Base: Open 3B Model for Fine-Tuning and Local Inference</title>
<link>https://llms.ninja/tii/models/falcon3-3b-base</link>
<description><![CDATA[Falcon3-3B-Base is TII's open-weight 3B language model for multilingual generation, fine-tuning, research, and efficient local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:29:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:29:12 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon3-1B-Instruct: Compact Multilingual Open-Weight Model</title>
<link>https://llms.ninja/tii/models/falcon3-1b-instruct</link>
<description><![CDATA[Explore Falcon3-1B-Instruct, TII's compact four-language open-weight model with 8K context, local deployment support, tool-oriented training, and no official hosted API price.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:29:07 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:29:07 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon3-7B-Instruct: Open 7B Multilingual Model for Local AI</title>
<link>https://llms.ninja/tii/models/falcon3-7b-instruct</link>
<description><![CDATA[Learn how Falcon3-7B-Instruct supports multilingual text, coding, reasoning, tool integration, 32K context, and self-hosted deployment without an official hosted API price.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:34 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:34 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon3-10B-Base: Open 10B Foundation Model Explained</title>
<link>https://llms.ninja/tii/models/falcon3-10b-base</link>
<description><![CDATA[Learn about Falcon3-10B-Base, TII's open 10B-parameter multilingual model with a 32K context window for fine-tuning and self-hosted text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:32 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:32 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon3-10B-Instruct: Open Multilingual Model for Local Inference</title>
<link>https://llms.ninja/tii/models/falcon3-10b-instruct</link>
<description><![CDATA[Learn about Falcon3-10B-Instruct, TII's open-weight 10B model for multilingual instruction following, coding, mathematics, reasoning, and local function-calling workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:28 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:28 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon Mamba 7B: Open-Weight Mamba Model for Local Text Generation</title>
<link>https://llms.ninja/tii/models/falcon-mamba-7b</link>
<description><![CDATA[Learn how Falcon Mamba 7B uses a pure Mamba architecture for open-weight local text generation, including its 8K context, deployment options, licensing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:23 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:23 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon2-11B: Open-Weight Multilingual Model for Self-Hosting</title>
<link>https://llms.ninja/tii/models/falcon2-11b</link>
<description><![CDATA[Learn what Falcon2-11B offers: an 11B-parameter, text-only TII model with an 8,192-token context, multilingual training, downloadable BF16 weights and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:20 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:20 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-7B: TII’s Apache 2.0 Open-Weight Language Model</title>
<link>https://llms.ninja/tii/models/falcon-7b</link>
<description><![CDATA[Falcon-7B is TII’s 7-billion-parameter Apache 2.0 open-weight text model for self-hosting, research, quantization, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:18 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:18 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-40B: Open-Weight Text Model for Self-Hosted Inference</title>
<link>https://llms.ninja/tii/models/falcon-40b</link>
<description><![CDATA[Falcon-40B is TII’s 40-billion-parameter open-weight text model with a 2,048-token context, Apache 2.0 license, and no official first-party API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:04 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-180B: TII Open-Weight Model for Self-Hosted Text Generation</title>
<link>https://llms.ninja/tii/models/falcon-180b</link>
<description><![CDATA[Learn about TII’s Falcon-180B open-weight base model, including its 180 billion parameters, 2,048-token context, languages, license, pricing, and demanding hardware requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:28:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:28:00 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon3-1B-Base: Small Open Model for Local Fine-Tuning</title>
<link>https://llms.ninja/tii/models/falcon3-1b-base</link>
<description><![CDATA[Falcon3-1B-Base is TII's 1-billion-parameter multilingual open-weight model for local inference, research, and downstream fine-tuning within a 4,096-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:29 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-34B-Instruct: Open-Weight 34B Long-Context Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-34b-instruct</link>
<description><![CDATA[A practical guide to Falcon-H1-34B-Instruct, TII's 34B hybrid Transformer-Mamba model for multilingual, long-context and self-hosted text workloads.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:21 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:21 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-34B-Base: Open-Weight 34B Long-Context Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-34b-base</link>
<description><![CDATA[Learn about Falcon-H1-34B-Base, TII's 34B open-weight hybrid Transformer-Mamba model with a 262K-token context and self-hosted deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:19 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:19 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-7B-Instruct: Open-Weight Long-Context Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-7b-instruct</link>
<description><![CDATA[Learn how Falcon-H1-7B-Instruct combines a hybrid Transformer-Mamba design, 262K context, multilingual text support, coding, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:16 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:16 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-7B-Base: Open-Weight 7B Long-Context Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-7b-base</link>
<description><![CDATA[Learn about Falcon-H1-7B-Base, TII's open-weight 7B hybrid Transformer-SSM model with 256K context, multilingual support, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:15 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:14 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-3B-Instruct: Efficient Multilingual Local LLM</title>
<link>https://llms.ninja/tii/models/falcon-h1-3b-instruct</link>
<description><![CDATA[Learn how Falcon-H1-3B-Instruct combines a 3B parameter hybrid Transformer-Mamba design, multilingual text generation, and 131K context for local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:12 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-3B-Base: Open 3B Model for Long-Context Local AI</title>
<link>https://llms.ninja/tii/models/falcon-h1-3b-base</link>
<description><![CDATA[Learn how Falcon-H1-3B-Base uses a hybrid Transformer-Mamba design, 128K context and open weights for multilingual research, fine-tuning and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:04 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-1.5B-Deep-Instruct: Efficient Open-Weight Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-15b-deep-instruct</link>
<description><![CDATA[Learn how Falcon-H1-1.5B-Deep-Instruct combines a 1.5B parameter hybrid Transformer-Mamba design with a 131,072-token context for efficient local text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:27:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:27:00 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-1.5B-Deep-Base: Open-Weight Model Guide</title>
<link>https://llms.ninja/tii/models/falcon-h1-15b-deep-base</link>
<description><![CDATA[Learn about Falcon-H1-1.5B-Deep-Base, TII's compact hybrid Transformer-Mamba model with 1.5B parameters, 128K context, and 18-language support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:58 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:58 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-1.5B-Instruct: Compact Multilingual Model for Local AI</title>
<link>https://llms.ninja/tii/models/falcon-h1-15b-instruct</link>
<description><![CDATA[Learn how Falcon-H1-1.5B-Instruct delivers multilingual text generation, coding, mathematics, and long-context processing for efficient self-hosted inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:56 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:56 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-1.5B-Base: Long-Context Open Model for Local Inference</title>
<link>https://llms.ninja/tii/models/falcon-h1-15b-base</link>
<description><![CDATA[Falcon-H1-1.5B-Base is a compact multilingual open-weight model with a hybrid Transformer-Mamba architecture and a 131,072-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:49 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:49 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-0.5B-Instruct: Small Open Model for Local Inference</title>
<link>https://llms.ninja/tii/models/falcon-h1-05b-instruct</link>
<description><![CDATA[Explore Falcon-H1-0.5B-Instruct, TII's compact 0.5B open-weight model with hybrid Transformer-Mamba architecture and a 16,384-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:46 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:46 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-0.5B-Base: Efficient Open Model for Local Text Generation</title>
<link>https://llms.ninja/tii/models/falcon-h1-05b-base</link>
<description><![CDATA[Learn how Falcon-H1-0.5B-Base uses a hybrid Transformer-Mamba architecture for efficient local text generation, research, fine-tuning, and edge deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:44 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:44 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-E-3B-Base: 1.58-Bit Model for Local Inference</title>
<link>https://llms.ninja/tii/models/falcon-e-3b-base</link>
<description><![CDATA[Falcon-E-3B-Base is TII's open-weight 3B English language model with 1.58-bit ternary weights, a 32K context window, and a compact checkpoint for local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:42 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:42 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-E-1B-Instruct: Efficient 1.58-Bit Local Language Model</title>
<link>https://llms.ninja/tii/models/falcon-e-1b-instruct</link>
<description><![CDATA[Falcon-E-1B-Instruct is TII's approximately 1B-parameter open-weight English model with a 1.58-bit design, 32K context, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:40 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:40 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-E-1B-Base: Efficient 1.58-Bit Local Language Model</title>
<link>https://llms.ninja/tii/models/falcon-e-1b-base</link>
<description><![CDATA[Learn how Falcon-E-1B-Base uses a BitNet-style 1.58-bit design for efficient local text generation, edge deployment, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 11:26:34 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 05:26:34 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Arabic: TII’s Arabic Model Family Explained</title>
<link>https://llms.ninja/tii/models/falcon-h1-arabic</link>
<description><![CDATA[Learn how Falcon-H1-Arabic combines Mamba and Transformer layers across 3B, 7B, and 34B models for Arabic and long-context applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:49:10 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:49:10 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1R-7B: Open Reasoning Model with 256K Context</title>
<link>https://llms.ninja/tii/models/falcon-h1r-7b</link>
<description><![CDATA[Learn about Falcon-H1R-7B, TII's open-weight reasoning model with a hybrid Transformer-Mamba2 architecture, 262K-token context, and local deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:51 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:51 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Tiny-Tool-Calling-90M: Local Function Calling</title>
<link>https://llms.ninja/tii/models/falcon-h1-tiny-tool-calling-90m</link>
<description><![CDATA[Learn how TII's compact Falcon-H1-Tiny-Tool-Calling-90M model supports local text generation and JSON-based function calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:48 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:48 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Tiny-Coder-90M: Python Coding Model for Local Inference</title>
<link>https://llms.ninja/tii/models/falcon-h1-tiny-coder-90m</link>
<description><![CDATA[Explore Falcon-H1-Tiny-Coder-90M, a 90M-parameter open-weight model for Python generation and fill-in-the-middle completion with a configured 262K-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:45 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:45 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Tiny-Multilingual-100M-Instruct: Edge Model Overview</title>
<link>https://llms.ninja/tii/models/falcon-h1-tiny-multilingual-100m-instruct</link>
<description><![CDATA[Learn about TII's Falcon-H1-Tiny-Multilingual-100M-Instruct, a compact open-weight Transformer-Mamba model for efficient local and edge text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:42 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:42 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Tiny-90M-Instruct: Lightweight Local AI Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-tiny-90m-instruct</link>
<description><![CDATA[Learn about Falcon-H1-Tiny-90M-Instruct, TII's 90M-parameter English model for lightweight local, offline, and edge text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:39 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:39 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Tiny-R-90M: Compact Local Reasoning Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-tiny-r-90m</link>
<description><![CDATA[Explore TII's 90M-parameter Falcon-H1-Tiny-R-90M, a hybrid Transformer-Mamba model for efficient local, edge, and lightweight reasoning workloads.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:32 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:32 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>SenseNova-MARS-8B: Open-Weight Visual Reasoning Model</title>
<link>https://llms.ninja/sensetime/models/sensenova-mars-8b</link>
<description><![CDATA[SenseNova-MARS-8B is an MIT-licensed vision-language model for visual reasoning, image cropping, text search, image search, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:29 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>Hunyuan3D-2.1: Tencent’s Open-Weight Image-to-3D Model</title>
<link>https://llms.ninja/tencent/models/hunyuan3d-2-1</link>
<description><![CDATA[Hunyuan3D-2.1 is Tencent’s open-weight image-to-3D system with separate shape and PBR texture models for self-hosted asset generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:26 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:26 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hunyuan-MT-7B: Tencent’s Open-Weight Translation Model</title>
<link>https://llms.ninja/tencent/models/hunyuan-mt-7b</link>
<description><![CDATA[Learn how Tencent’s Hunyuan-MT-7B supports multilingual translation, local deployment, fine-tuning, 32K context, pricing, and license restrictions.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:22 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:22 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hunyuan-0.5B-Instruct: Tencent’s Compact Open-Weight Model</title>
<link>https://llms.ninja/tencent/models/hunyuan-0-5b-instruct</link>
<description><![CDATA[Explore Tencent Hunyuan-0.5B-Instruct, a compact open-weight text model with a 256K context window, configurable reasoning modes, quantization, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:19 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:19 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hunyuan-1.8B-Instruct: Tencent’s Compact 256K-Context Model</title>
<link>https://llms.ninja/tencent/models/hunyuan-1-8b-instruct</link>
<description><![CDATA[Evaluate Tencent Hunyuan-1.8B-Instruct, an open-weight 1.8B model with 256K context, hybrid reasoning, local deployment, quantization, and agent support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:11 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:11 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hunyuan-4B-Instruct: Tencent’s Open-Weight 4B Language Model</title>
<link>https://llms.ninja/tencent/models/hunyuan-4b-instruct</link>
<description><![CDATA[Explore Tencent Hunyuan-4B-Instruct, an open-weight 4B text model with 256K context, hybrid reasoning, fine-tuning, quantization, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:09 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent YT-VITA for Video, Image and Audio Understanding</title>
<link>https://llms.ninja/tencent/models/yt-vita</link>
<description><![CDATA[Review of Tencent YT-VITA, a TokenHub multimodal model for video, image, audio and text understanding, including limits, pricing, use cases and its 2026 shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:06 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:05 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hy-ASR-3.0-Preview: Tencent Chinese-Dialect ASR Model</title>
<link>https://llms.ninja/tencent/models/hy-asr-3-0-preview</link>
<description><![CDATA[Learn how Tencent Hy-ASR-3.0-Preview handles Mandarin, English, mixed speech, and 20 Chinese dialects, including real-time limits, interfaces, pricing, and use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:02 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:02 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>WAND-Dubbing-Clone-v2 Video Dubbing Model and Pricing</title>
<link>https://llms.ninja/tencent/models/wand-dubbing-clone-v2</link>
<description><![CDATA[Learn how Tencent Cloud’s WAND-Dubbing-Clone-v2 translates and dubs video, preserves speaker delivery, supports languages, works asynchronously, and is priced.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:48:00 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:48:00 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>WAND-Vega-Video-1.0-Lite: Short Video Generation and Limits</title>
<link>https://llms.ninja/tencent/models/wand-vega-video-1-0-lite</link>
<description><![CDATA[Learn how Tencent Cloud’s WAND-Vega-Video-1.0-Lite generates 4–15 second videos from text, frames, images, video, and audio through TokenHub.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:47:55 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:47:55 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>WAND-Vega-Image-1.0-Flash for Fast Image Generation</title>
<link>https://llms.ninja/tencent/models/wand-vega-image-1-0-flash</link>
<description><![CDATA[Learn how Tencent Cloud's WAND-Vega-Image-1.0-Flash generates 1K, 2K, and 4K images from text or references, with TokenHub pricing and API limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:47:50 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:47:50 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Falcon OCR: Open-Weight Document OCR for Text, Formulas, and Tables</title>
<link>https://llms.ninja/tii/models/falcon-ocr</link>
<description><![CDATA[Falcon OCR is a 300M-parameter open-weight model for extracting document text, LaTeX formulas, and HTML tables from images.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:46:21 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:46:21 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Tiny-R-0.6B: Compact Open-Weight Reasoning Model</title>
<link>https://llms.ninja/tii/models/falcon-h1-tiny-r-06b</link>
<description><![CDATA[Explore Falcon-H1-Tiny-R-0.6B, TII's 600M-parameter English model with hybrid Transformer-Mamba architecture, a 262K-token context, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:46:17 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:46:17 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Falcon-H1-Tiny-R-0.6B-pre-GRPO: Local Reasoning Model Guide</title>
<link>https://llms.ninja/tii/models/falcon-h1-tiny-r-06b-pre-grpo</link>
<description><![CDATA[Learn how TII's Falcon-H1-Tiny-R-0.6B-pre-GRPO works, including its hybrid Transformer-Mamba design, 262K-token context, local deployment options, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:46:14 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:46:14 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>Tencent HunyuanVideo: Open-Weight 13B Text-to-Video Model</title>
<link>https://llms.ninja/tencent/models/hunyuanvideo</link>
<description><![CDATA[Learn how Tencent HunyuanVideo generates videos from text, its 540p and 720p support, GPU requirements, open-weight deployment model, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:58 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:58 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Falcon Perception: TII’s Open-Weight Segmentation Model</title>
<link>https://llms.ninja/tii/models/falcon-perception</link>
<description><![CDATA[Falcon Perception is TII’s compact 0.6B vision-language model for natural-language object grounding, detection, and pixel-level instance segmentation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:44 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:44 GMT</lastmod>
<category><![CDATA[tii/models]]></category>
</item>
<item>
<title>SekoTalk-1.0 Review: SenseTime’s Audio-Driven Digital Human Model</title>
<link>https://llms.ninja/sensetime/models/sekotalk-1-0</link>
<description><![CDATA[SekoTalk-1.0 is SenseTime’s specialized video model for audio-driven digital humans, lip-sync performance, singing avatars, multilingual animation, and long talking videos.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:33 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:33 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SekoIDX: SenseTime Character-Consistent Image Generation Model</title>
<link>https://llms.ninja/sensetime/models/sekoidx</link>
<description><![CDATA[SekoIDX is SenseTime’s specialized image-generation model for preserving character identity across multi-episode and cross-shot visual content in Seko 2.0.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:29 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova-SI-1.5-InternVL3-8B for Spatial Reasoning</title>
<link>https://llms.ninja/sensetime/models/sensenova-si-1-5-internvl3-8b</link>
<description><![CDATA[SenseNova-SI-1.5-InternVL3-8B is an open-weight 8B multimodal model for visual reasoning, 3D scenes, and solid-geometry problems.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:25 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:25 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova-MARS-32B: Open-Weight Visual Deep-Search Model</title>
<link>https://llms.ninja/sensetime/models/sensenova-mars-32b</link>
<description><![CDATA[Learn how SenseNova-MARS-32B supports visual reasoning, image and text search tools, deployment, context limits, benchmarks, pricing, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:23 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:23 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova U1 Fast: Fast Infographic and Visual Layout Generation</title>
<link>https://llms.ninja/sensetime/models/sensenova-u1-fast</link>
<description><![CDATA[SenseNova U1 Fast is SenseTime’s accelerated image-generation model for infographics, charts, diagrams, dense visual layouts, and presentation graphics.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:16 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:16 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova-Vision-7B-MoT: Unified Computer Vision Model</title>
<link>https://llms.ninja/sensetime/models/sensenova-vision-7b-mot</link>
<description><![CDATA[SenseNova-Vision-7B-MoT is SenseTime’s open 7B model for detection, OCR, segmentation, depth, surface normals and multi-view geometry.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:12 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova 6.8 Flash Lite: Multimodal Agent Model for Complex Workflows</title>
<link>https://llms.ninja/sensetime/models/sensenova-6-8-flash-lite</link>
<description><![CDATA[SenseNova 6.8 Flash Lite is SenseTime’s fast preview model for multimodal agents, data analysis, research, tool use, and complex office workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:06 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:06 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova U1 Pro: SenseTime’s 8K Visual Creation Model</title>
<link>https://llms.ninja/sensetime/models/sensenova-u1-pro</link>
<description><![CDATA[SenseNova U1 Pro is SenseTime’s enterprise image-creation model for 8K visuals, infographics, advertising, editing, and multi-step creative workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:03 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:03 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova U1.5 Lite: 4K Image Generation and Editing</title>
<link>https://llms.ninja/sensetime/models/sensenova-u1-5-lite</link>
<description><![CDATA[Learn how SenseNova U1.5 Lite combines text-to-image generation, reference-image editing, complex instructions, and native 4K output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:45:01 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:45:01 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova-U1.5-8B-MoT: Open-Weight Image Generation and Understanding</title>
<link>https://llms.ninja/sensetime/models/sensenova-u1-5-8b-mot</link>
<description><![CDATA[Learn about SenseNova-U1.5-8B-MoT, SenseTime’s open-weight 8B multimodal model for native 4K image generation, editing, visual understanding, and text interaction.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:48 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:48 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>SenseNova U1: Open-Source Unified Multimodal Model</title>
<link>https://llms.ninja/sensetime/models/sensenova-u1</link>
<description><![CDATA[SenseNova U1 is SenseTime’s open-source multimodal model series for visual reasoning, image generation, image editing, infographic creation, and image-text workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:39 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:39 GMT</lastmod>
<category><![CDATA[sensetime/models]]></category>
</item>
<item>
<title>HunyuanDiT-v1.2: Tencent’s Bilingual Open-Weight Image Model</title>
<link>https://llms.ninja/tencent/models/hunyuan-dit-v1-2</link>
<description><![CDATA[Learn how Tencent’s HunyuanDiT-v1.2 generates images from English and Chinese prompts, including local deployment, integrations, hardware, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:34 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:34 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HunyuanWorld-Mirror: Tencent’s Open-Weight Video-to-3D Model</title>
<link>https://llms.ninja/tencent/models/hunyuanworld-mirror</link>
<description><![CDATA[HunyuanWorld-Mirror is Tencent’s open-weight model for multi-view and video-to-3D reconstruction, producing point maps, depth, normals, camera parameters, and Gaussian Splatting data.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:31 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:31 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hunyuan3D 2.0: Tencent’s Open-Weight 3D Asset Generator</title>
<link>https://llms.ninja/tencent/models/hunyuan3d-2-0</link>
<description><![CDATA[Learn how Tencent Hunyuan3D 2.0 generates 3D meshes and textures from images or documented text conditions, with local, API, and Blender workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:29 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:29 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent AuK: Open-Source Speech Generation and Audio Editing</title>
<link>https://llms.ninja/tencent/models/auk</link>
<description><![CDATA[Tencent AuK is an open-weight 1.5B audio model for instruction-based speech generation, voice-conditioned TTS, audio editing, enhancement, and separation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:13 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:13 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HunyuanOCR-1.5 for OCR, Document Parsing and Structured Extraction</title>
<link>https://llms.ninja/tencent/models/hunyuanocr-1-5</link>
<description><![CDATA[HunyuanOCR-1.5 is Tencent’s open-weight 1B vision-language model for OCR, document parsing, tables, formulas, text spotting, translation, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:10 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:10 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HunyuanVideo-I2V: Tencent Open-Weight Image-to-Video Model</title>
<link>https://llms.ninja/tencent/models/hunyuanvideo-i2v</link>
<description><![CDATA[Explore Tencent HunyuanVideo-I2V, an open-weight image-to-video model with 720p output, 129-frame clips, LoRA tools, ComfyUI support, and multi-GPU inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:44:05 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:44:05 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hunyuan-7B-Instruct: Tencent Open-Weight Model Overview</title>
<link>https://llms.ninja/tencent/models/hunyuan-7b-instruct</link>
<description><![CDATA[Learn how Tencent Hunyuan-7B-Instruct handles Chinese text, reasoning, coding, long context, quantization, local deployment, fine-tuning, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:43:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:43:12 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent Hunyuan-Large: Open-Weight 389B MoE Language Model</title>
<link>https://llms.ninja/tencent/models/hunyuan-large</link>
<description><![CDATA[Tencent Hunyuan-Large is a 389B-parameter open-weight MoE model with 52B active parameters, up to 256K context, Chinese and English support, and public deployment resources.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:43:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:43:09 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hunyuan-A13B: Tencent’s Open-Weight 80B MoE Reasoning Model</title>
<link>https://llms.ninja/tencent/models/hunyuan-a13b</link>
<description><![CDATA[Learn about Tencent Hunyuan-A13B, an open-weight 80B MoE model with 13B active parameters, hybrid reasoning, 256K context, coding and agent support, deployment options, and API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:43:06 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:43:06 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Kinfra-VL-Embedding-8b: Tencent Multimodal Embeddings</title>
<link>https://llms.ninja/tencent/models/kinfra-vl-embedding-8b</link>
<description><![CDATA[Kinfra-VL-Embedding-8b converts text, images, and video into 4096-dimensional vectors for high-precision multimodal retrieval and video search.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:43:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:43:04 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Kinfra-VL-Embedding-2b for Multimodal Search and Retrieval</title>
<link>https://llms.ninja/tencent/models/kinfra-vl-embedding-2b</link>
<description><![CDATA[Kinfra-VL-Embedding-2b is Tencent’s 2,048-dimensional model for text, image, and video embeddings, cross-modal retrieval, and video search through TokenHub.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:43:01 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:43:01 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Kinfra-Text-Embedding-4b for Multilingual Semantic Search</title>
<link>https://llms.ninja/tencent/models/kinfra-text-embedding-4b</link>
<description><![CDATA[Learn how Tencent's Kinfra-Text-Embedding-4b supports multilingual semantic search, RAG, and vector retrieval with fixed 2,560-dimensional embeddings and usage-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:54 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:54 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent Kinfra-Text-Embedding-0.6b for Efficient Vector Search</title>
<link>https://llms.ninja/tencent/models/kinfra-text-embedding-0-6b</link>
<description><![CDATA[Learn how Tencent Kinfra-Text-Embedding-0.6b handles multilingual embeddings, 1,024-dimensional vectors, TokenHub access, input limits, retrieval use cases, trade-offs, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:52 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:52 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-Vision-Video: Tencent’s Video Understanding Model</title>
<link>https://llms.ninja/tencent/models/hy-vision-video</link>
<description><![CDATA[Learn how Tencent’s HY-Vision-Video analyzes videos, answers questions, generates summaries, and supports video review through TokenHub.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:49 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:49 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-Vision-1.5-Thinking: Tencent’s Visual Reasoning Model</title>
<link>https://llms.ninja/tencent/models/hy-vision-1-5-thinking</link>
<description><![CDATA[Explore HY-Vision-1.5-Thinking, Tencent Hunyuan’s visual reasoning model for OCR, charts, documents, localization and image question answering, with TokenHub pricing and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:46 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:46 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-Vision-2.0-Instruct: Tencent’s Fast Image-Understanding Model</title>
<link>https://llms.ninja/tencent/models/hy-vision-2-0-instruct</link>
<description><![CDATA[Explore Tencent HY-Vision-2.0-Instruct, a TokenHub image-understanding model with text and multi-image input, a 44K context window, OCR, chart reasoning, and usage-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:43 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:43 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>WAND-ASR-v1: Tencent Cloud Speech Recognition and Subtitles</title>
<link>https://llms.ninja/tencent/models/wand-asr-v1</link>
<description><![CDATA[WAND-ASR-v1 is Tencent Cloud TokenHub’s ASR model for audio and video transcription, language detection, sentence timestamps, and SRT subtitles.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:33 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:33 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>WAND-Dubbing-Clone-V1: Tencent Video Dubbing Model and Pricing</title>
<link>https://llms.ninja/tencent/models/wand-dubbing-clone-v1</link>
<description><![CDATA[Learn how Tencent’s WAND-Dubbing-Clone-V1 translates video, creates cloned-voice dubbing, handles asynchronous jobs, and charges by resolution-dependent token consumption.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:28 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:28 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-3D-UV Review: Tencent’s 3D UV-Unwrapping Model</title>
<link>https://llms.ninja/tencent/models/hy-3d-uv</link>
<description><![CDATA[Learn how Tencent HY-3D-UV automates UV unwrapping for FBX, OBJ, and GLB assets, including its limits, TokenHub access, outputs, and 10-point call price.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:25 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:25 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent HY-3D-Texture: Reference-Guided 3D Texturing</title>
<link>https://llms.ninja/tencent/models/hy-3d-texture</link>
<description><![CDATA[Tencent HY-3D-Texture applies reference-guided textures and optional PBR materials to existing OBJ and GLB meshes through TokenHub.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:23 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:23 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent HY-3D-Rigging for Automated 3D Character Rigging</title>
<link>https://llms.ninja/tencent/models/hy-3d-rigging</link>
<description><![CDATA[Tencent HY-3D-Rigging adds skeletal rigs and skin weights to suitable FBX or GLB human and animal models through an asynchronous TokenHub API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:14 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:14 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-3D-Retopology: Tencent’s 3D Mesh Retopology API</title>
<link>https://llms.ninja/tencent/models/hy-3d-retopology</link>
<description><![CDATA[Learn how Tencent HY-3D-Retopology converts OBJ, GLB, and FBX meshes into lower-polygon 3D assets with configurable topology and asynchronous API processing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:11 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:11 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-3D-Motion: Tencent’s Text-to-Animation Model for Human Motion</title>
<link>https://llms.ninja/tencent/models/hy-3d-motion</link>
<description><![CDATA[Learn how Tencent’s HY-3D-Motion turns short text prompts into animated human-motion FBX files through the TokenHub API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:09 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:09 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-3D-Format: Tencent’s 3D File Conversion Service</title>
<link>https://llms.ninja/tencent/models/hy-3d-format</link>
<description><![CDATA[Tencent HY-3D-Format converts FBX, OBJ, and GLB files through an asynchronous TokenHub service priced at 5 credits per call.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:06 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:06 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-3D-Component: Tencent API for Splitting FBX Models</title>
<link>https://llms.ninja/tencent/models/hy-3d-component</link>
<description><![CDATA[Learn how Tencent HY-3D-Component decomposes FBX models into 3D components through TokenHub, including workflow, limits, and usage costs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:42:02 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:42:02 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-3D-Express: Tencent’s Fast Text-to-3D and Image-to-3D Model</title>
<link>https://llms.ninja/tencent/models/hy-3d-express</link>
<description><![CDATA[HY-3D-Express is Tencent’s TokenHub model for generating OBJ and GLB 3D assets from Chinese text prompts or reference images through an asynchronous API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:41:12 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:41:12 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HY-3D-3.1: Tencent’s Text and Image-to-3D Model</title>
<link>https://llms.ninja/tencent/models/hy-3d-3-1</link>
<description><![CDATA[Tencent HY-3D-3.1 creates textured or geometry-only 3D assets from text, images, sketches, and up to eight views through Tencent Cloud.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:41:08 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:41:08 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent HY-3D-3.0 3D Generation: Inputs, Modes and Pricing</title>
<link>https://llms.ninja/tencent/models/hy-3d-3-0</link>
<description><![CDATA[Learn how Tencent HY-3D-3.0 creates textured, LowPoly, PBR, and geometry-only 3D assets from text, images, sketches, and multi-view inputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:41:04 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:41:03 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hy-World-2.1-scene: Tencent’s Text-to-3D World Generation Model</title>
<link>https://llms.ninja/tencent/models/hy-world-2-1-scene</link>
<description><![CDATA[Learn how Tencent Hy-World-2.1-scene creates navigable 3D worlds from text or images, including outputs, limits, workflow, use cases, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:58 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:58 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent Hy-World-2.1-panorama for 360-Degree Scene Generation</title>
<link>https://llms.ninja/tencent/models/hy-world-2-1-panorama</link>
<description><![CDATA[Learn how Tencent Hy-World-2.1-panorama generates 360-degree images from text or reference images, including limits, pricing, outputs, and use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:53 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:53 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>HunyuanVideo-1.5: Tencent’s Open-Weight Video Model</title>
<link>https://llms.ninja/tencent/models/hunyuanvideo-1-5</link>
<description><![CDATA[HunyuanVideo-1.5 is Tencent’s 8.3B-parameter open-weight model for local text-to-video and image-to-video generation at up to 1080p.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:49 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:49 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>WAND-Vega-Image-1.0-Pro: 4K Reference-Based Image Generation</title>
<link>https://llms.ninja/tencent/models/wand-vega-image-1-0-pro</link>
<description><![CDATA[Learn how Tencent's WAND-Vega-Image-1.0-Pro handles text-to-image and reference-to-image generation, 1K to 4K pricing, limits, and asynchronous API use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:44 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:44 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>WAND-Vega-Image-1.0-Lite for Low-Cost Image Generation</title>
<link>https://llms.ninja/tencent/models/wand-vega-image-1-0-lite</link>
<description><![CDATA[WAND-Vega-Image-1.0-Lite is Tencent Cloud's low-cost image model for text-to-image and reference-to-image generation, with 1K-4K output and asynchronous TokenHub access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:39 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:39 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent Hy-Image-3.0 for Reference-Guided Image Generation</title>
<link>https://llms.ninja/tencent/models/hy-image-3-0</link>
<description><![CDATA[Tencent Hy-Image-3.0 creates images from text and up to three references, with custom sizes, prompt rewriting, seed control, TokenHub access, and an open-weight release.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:35 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:35 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent Hy-Image-3.5-preview for 4K Image Generation and Editing</title>
<link>https://llms.ninja/tencent/models/hy-image-3-5-preview</link>
<description><![CDATA[Tencent Hy-Image-3.5-preview supports text-to-image generation, reference images, multi-turn editing, and up to 4096×4096 output through TokenHub.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:31 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:31 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hy-Role Review: Tencent’s Role-Play AI Model for Character Chat</title>
<link>https://llms.ninja/tencent/models/hy-role</link>
<description><![CDATA[Explore Tencent Hy-Role for role-play, AI avatars, and character chat, including its 32K context, 4K output limit, pricing, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:27 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:27 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent Hy-MT2-Lite: Low-Cost Multilingual Translation</title>
<link>https://llms.ninja/tencent/models/hy-mt2-lite</link>
<description><![CDATA[Tencent Hy-MT2-Lite is a 1.8B multilingual translation model with 33-language coverage, an 8K context window, 4K output, and low TokenHub pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:19 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:19 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Step Edge Gen: Fast On-Device Image Generation and Editing</title>
<link>https://llms.ninja/stepfun/models/step-edge-gen</link>
<description><![CDATA[Learn how Step Edge Gen handles local text-to-image generation and image editing, its reported W8A16 latency, supported modalities, limitations, and unverified access details.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 10:40:14 GMT</pubDate>
<lastmod>Saturday, 26 September 2026 04:40:14 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>Step Edge GUI: StepFun’s On-Device GUI Agent Model</title>
<link>https://llms.ninja/stepfun/models/step-edge-gui</link>
<description><![CDATA[Step Edge GUI is StepFun’s specialized model for local interface understanding, visual grounding, and desktop and mobile GUI action execution.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:37:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:37:25 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>Step Edge Audio: StepFun’s Edge Speech Recognition Model</title>
<link>https://llms.ninja/stepfun/models/step-edge-audio</link>
<description><![CDATA[Learn how Step Edge Audio supports local speech recognition, audio understanding, and low-latency voice applications on phones, vehicles, and edge devices.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:36:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:36:32 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>Step Edge: StepFun’s On-Device Vision-Language Model</title>
<link>https://llms.ninja/stepfun/models/step-edge</link>
<description><![CDATA[Step Edge is StepFun’s text-and-vision model for edge devices, with image, video, GUI grounding, spatial reasoning, and local agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:36:28 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:36:28 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>StepAudio 3 ASR Max for Context-Aware Audio Transcription</title>
<link>https://llms.ninja/stepfun/models/stepaudio-3-asr-max</link>
<description><![CDATA[StepAudio 3 ASR Max is StepFun's audio-to-text model for multilingual, dialectal, noisy, specialist, long-form, and streaming transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:36:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:36:23 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>StepAudio 3 Music: StepFun’s AI Song and Music Generation Model</title>
<link>https://llms.ninja/stepfun/models/stepaudio-3-music</link>
<description><![CDATA[Learn how StepAudio 3 Music generates songs, instrumentals, accompaniment, and cover-style arrangements from prompts, lyrics, and reference audio.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:36:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:36:17 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>StepAudio 3 Gen: Speech, Music, Vocals, and Sound Design</title>
<link>https://llms.ninja/stepfun/models/stepaudio-3-gen</link>
<description><![CDATA[StepAudio 3 Gen is StepFun’s audio-generation model for expressive speech, voice design, vocals, music, sound effects, ambience, and composite scenes.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:36:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:36:13 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>StepAudio 3 TTS: Controllable Text-to-Speech Model</title>
<link>https://llms.ninja/stepfun/models/stepaudio-3-tts</link>
<description><![CDATA[StepAudio 3 TTS is StepFun's text-to-speech model for controllable multilingual voice generation, narration, localization, and audio interfaces.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:31:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:31:10 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>StepAudio 3 Realtime: StepFun’s Full-Duplex Voice Model</title>
<link>https://llms.ninja/stepfun/models/stepaudio-3-realtime</link>
<description><![CDATA[StepAudio 3 Realtime is StepFun’s voice model for low-latency, full-duplex conversation, interruption handling, audio understanding, reasoning and tool-enabled agents.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:31:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:31:05 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>Step 3.5 Flash: Open-Weight Coding and Reasoning Model</title>
<link>https://llms.ninja/stepfun/models/step-3-5-flash</link>
<description><![CDATA[Step 3.5 Flash is StepFun's open-weight MoE model for coding, reasoning and agents, with 11B active parameters, a 256K context window and Apache 2.0 licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:30:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:30:59 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>Step 3.7 Flash: StepFun’s Fast Open-Weight Vision Model for Agents</title>
<link>https://llms.ninja/stepfun/models/step-3-7-flash</link>
<description><![CDATA[Explore Step 3.7 Flash, StepFun’s 198B sparse MoE vision-language model for coding agents, image understanding, tool use, search, and 256K-token contexts.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:30:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:30:51 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>Step 5 Preview: StepFun’s Long-Context Agentic Model</title>
<link>https://llms.ninja/stepfun/models/step-5-preview</link>
<description><![CDATA[Learn what Step 5 Preview does, how its 1-million-token context and vision input work, its pricing, strengths, limitations, and best use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:30:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:30:45 GMT</lastmod>
<category><![CDATA[stepfun/models]]></category>
</item>
<item>
<title>UI-TARS-1.5-7B: Open-Weight GUI and Computer-Use Agent</title>
<link>https://llms.ninja/bytedance-seed/models/ui-tars-1-5-7b</link>
<description><![CDATA[UI-TARS-1.5-7B is ByteDance Seed's open-weight vision-language agent for screenshot understanding, GUI grounding, browser automation, and computer-use research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:23:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:23:15 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed-1.6-Embedding: ByteDance’s Cross-Modal Embedding Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed-1-6-embedding</link>
<description><![CDATA[Seed-1.6-Embedding converts text, images and video into shared 2,048- or 1,024-dimensional vectors for cross-modal search and retrieval through Volcano Engine.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:23:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:23:06 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed-OSS-36B-Instruct: Open-Weight 512K-Context Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed-oss-36b-instruct</link>
<description><![CDATA[Explore Seed-OSS-36B-Instruct, ByteDance Seed’s Apache-2.0 36B model for long-context reasoning, coding, tool use, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:23:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:23:03 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed-OSS-36B-Base-woSyn: Open 36B Foundation Model Without Synthetic Data</title>
<link>https://llms.ninja/bytedance-seed/models/seed-oss-36b-base-wosyn</link>
<description><![CDATA[Seed-OSS-36B-Base-woSyn is ByteDance Seed’s open-weight 36B text model, trained without synthetic data and released under Apache-2.0 with a 512K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:23:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:23:01 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed-OSS-36B-Base: ByteDance’s 36B Open-Weight Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed-oss-36b-base</link>
<description><![CDATA[Learn about Seed-OSS-36B-Base, ByteDance Seed’s 36B Apache-2.0 text model with native 512K-token context, flexible reasoning budgets, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:22:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:22:57 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed GR-3: ByteDance Seed’s Vision-Language-Action Robot Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed-gr-3</link>
<description><![CDATA[Seed GR-3 is ByteDance Seed’s approximately 4B vision-language-action model for generalizable, long-horizon, bimanual, and dexterous robot manipulation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:10:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:10:07 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed GR-RL: Reinforcement Learning for Dexterous Robot Manipulation</title>
<link>https://llms.ninja/bytedance-seed/models/seed-gr-rl</link>
<description><![CDATA[Seed GR-RL is ByteDance Seed's robotics framework for precise long-horizon manipulation using offline learning, symmetry augmentation, and real-world reinforcement learning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:10:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:10:04 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed Audio 1.0: Full-Scene Audio Generation for Speech and Sound</title>
<link>https://llms.ninja/bytedance-seed/models/seed-audio-1-0</link>
<description><![CDATA[Seed Audio 1.0 creates coordinated speech, sound effects, ambience, and multilingual audio scenes through the BytePlus API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:09:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:09:14 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>SeedRealtime: ByteDance’s Full-Duplex Audio-Visual AI Model</title>
<link>https://llms.ninja/bytedance-seed/models/seedrealtime</link>
<description><![CDATA[SeedRealtime is ByteDance Seed’s full-duplex audio-visual model for continuous speech, video, text, temporal understanding, and proactive real-time interaction.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:09:08 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:09:08 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seedream 5.0 Pro: Professional Image Generation and Editing</title>
<link>https://llms.ninja/bytedance-seed/models/seedream-5-0-pro</link>
<description><![CDATA[Seedream 5.0 Pro is ByteDance Seed’s professional image model for precise editing, multi-image references, infographics, multilingual visuals, and layer separation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:09:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:09:03 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seedance 2.0: Multimodal Audio-Video Generation Model</title>
<link>https://llms.ninja/bytedance-seed/models/seedance-2-0</link>
<description><![CDATA[Seedance 2.0 is ByteDance's multimodal video model for creating up to 15-second audio-video clips from text, image, audio, and video references.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:08:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:08:58 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seedance 2.5: ByteDance’s Audio-Video Generation Model</title>
<link>https://llms.ninja/bytedance-seed/models/seedance-2-5</link>
<description><![CDATA[Seedance 2.5 creates audiovisual videos up to 30 seconds, supports image, video, and audio references, and offers extensions and timestamp-level editing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:08:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:08:54 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed Diffusion Preview: ByteDance’s Fast Code Diffusion Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed-diffusion-preview</link>
<description><![CDATA[Seed Diffusion Preview is ByteDance Seed’s experimental diffusion model for code generation, reporting 2,146 tokens per second through parallel decoding.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:08:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:08:39 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed1.5 (Doubao-1.5-pro): Multimodal MoE Model and API Status</title>
<link>https://llms.ninja/bytedance-seed/models/seed1-5-doubao-1-5-pro</link>
<description><![CDATA[Seed1.5, also known as Doubao-1.5-pro, is ByteDance Seed’s multimodal sparse MoE model for text, image understanding, speech, reasoning, and coding.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:08:20 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:08:20 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed1.5-VL: ByteDance Vision-Language Model for Visual Reasoning</title>
<link>https://llms.ninja/bytedance-seed/models/seed1-5-vl</link>
<description><![CDATA[Learn what Seed1.5-VL did, how its vision-language architecture worked, its image and video reasoning capabilities, limitations, API identity, and retired Volcano Engine status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:00:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:00:37 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed1.6-Thinking: ByteDance’s Multimodal Reasoning Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed1-6-thinking</link>
<description><![CDATA[Seed1.6-Thinking is ByteDance Seed’s 256K-context multimodal reasoning model for coding, mathematics, logic, and visual analysis, now scheduled for retirement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:00:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:00:32 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed1.6: Multimodal Reasoning, 256K Context and API Status</title>
<link>https://llms.ninja/bytedance-seed/models/seed1-6</link>
<description><![CDATA[Learn how ByteDance Seed1.6 handles text and images, adaptive reasoning, coding, GUI tasks and long-context analysis, plus its limits and scheduled API retirement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:00:28 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:00:28 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed1.8: ByteDance’s Agentic Multimodal Model for GUI and Reasoning Tasks</title>
<link>https://llms.ninja/bytedance-seed/models/seed1-8</link>
<description><![CDATA[Learn how ByteDance Seed1.8 handles text, image, and video input, agentic reasoning, coding, search, GUI interaction, pricing, limits, and BytePlus ModelArk access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:00:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:00:23 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed2.0 Mini: ByteDance’s High-Throughput AI Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed2-0-mini</link>
<description><![CDATA[Seed2.0 Mini is ByteDance’s cost-efficient agent model for high-concurrency and batch workloads, with image and video understanding, a reported 256K context window, and low reference token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 01:00:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:00:18 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed2.0 Lite: ByteDance’s Omnimodal Agent Model for Production</title>
<link>https://llms.ninja/bytedance-seed/models/seed2-0-lite</link>
<description><![CDATA[Seed2.0 Lite is ByteDance’s 256K-context model for text, image, video, and audio understanding, with reasoning, tool use, coding, GUI workflows, and structured output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:53:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:53:02 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed2.0 Pro: Long-Context Multimodal Agent Model Explained</title>
<link>https://llms.ninja/bytedance-seed/models/seed2-0-pro</link>
<description><![CDATA[Learn what Seed2.0 Pro does, including its 200K context, multimodal inputs, coding and tool support, Ark pricing, output limits, strengths, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:52:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:59 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed2.1 Turbo: ByteDance’s Fast Model for Agents and Coding</title>
<link>https://llms.ninja/bytedance-seed/models/seed21-turbo</link>
<description><![CDATA[Learn how Seed2.1 Turbo handles coding, agents, visual inputs, tool calling, structured output, 256K context, and Ark pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:52:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:56 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Seed2.1 Pro Review: ByteDance’s Agent and Coding Model</title>
<link>https://llms.ninja/bytedance-seed/models/seed2-1-pro</link>
<description><![CDATA[Learn what Seed2.1 Pro does, where it fits in ByteDance Seed, which inputs it supports, and why it suits coding, visual analysis and agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:52:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:36 GMT</lastmod>
<category><![CDATA[bytedance-seed/models]]></category>
</item>
<item>
<title>Jamba-v0.1: AI21’s Open-Weight Long-Context Model</title>
<link>https://llms.ninja/ai21-labs/models/jamba-v0-1</link>
<description><![CDATA[Learn how Jamba-v0.1 combines Transformer, Mamba, and mixture-of-experts components for 256K-token text generation under an Apache 2.0 license.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:52:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:33 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>Jamba 1.5 Large: Open-Weight 256K-Context AI21 Model</title>
<link>https://llms.ninja/ai21-labs/models/jamba-1-5-large</link>
<description><![CDATA[Jamba 1.5 Large is AI21's 398B open-weight text model with a 256K-token context, JSON mode, tool use, multilingual support, and self-hosting options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:41:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:41:35 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21 Jamba Mini 1.5: Open-Weight 256K-Context Model</title>
<link>https://llms.ninja/ai21-labs/models/ai21-jamba-mini-1-5</link>
<description><![CDATA[AI21 Jamba Mini 1.5 is a 52B-parameter open-weight model with a 256K-token context window, JSON output, function calling, and private deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:41:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:41:13 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21 Jamba Large 1.6: Long-Context Open-Weight Model</title>
<link>https://llms.ninja/ai21-labs/models/jamba-large-1-6</link>
<description><![CDATA[Explore AI21 Jamba Large 1.6, a 256K-context text model with structured JSON, function calling, RAG support, usage pricing, and private deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:41:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:41:09 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21 Jamba Mini 1.6: 256K-Context Open Model for Enterprise AI</title>
<link>https://llms.ninja/ai21-labs/models/ai21-jamba-mini-1-6</link>
<description><![CDATA[AI21 Jamba Mini 1.6 is a 52B open-weight text model with a 256K context window, structured JSON, function calling, grounded generation and private deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:38:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:38:43 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>Jamba Large 1.7: AI21’s 256K-Context Open Model</title>
<link>https://llms.ninja/ai21-labs/models/jamba-large-1-7</link>
<description><![CDATA[Jamba Large 1.7 is AI21’s 398B-parameter open model for long-context text generation, enterprise RAG, document analysis, multilingual workflows, and private deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:38:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:38:40 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21 Jamba Mini 1.7: 256K-Context Open-Weight Model</title>
<link>https://llms.ninja/ai21-labs/models/ai21-jamba-mini-1-7</link>
<description><![CDATA[AI21 Jamba Mini 1.7 is a 52B open-weight Transformer-Mamba model with a 256K context window for long documents, enterprise RAG, and private deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:38:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:38:32 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21 Jamba Reasoning 3B: Local Reasoning and 256K Context</title>
<link>https://llms.ninja/ai21-labs/models/ai21-jamba-reasoning-3b</link>
<description><![CDATA[AI21 Jamba Reasoning 3B is an Apache 2.0 open-weight model for local reasoning, private RAG, coding, and long-context text workloads with a 256K-token window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:38:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:38:29 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21-Jamba2-3B: Compact Open Model for 256K-Context AI</title>
<link>https://llms.ninja/ai21-labs/models/ai21-jamba2-3b</link>
<description><![CDATA[AI21-Jamba2-3B is an Apache 2.0 open-weight text model with approximately 3B parameters, a 256K context window, and support for local, enterprise, and RAG deployments.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:33:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:33:15 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>AI21 Jamba2 Mini: Open-Weight Long-Context Enterprise Model</title>
<link>https://llms.ninja/ai21-labs/models/ai21-jamba2-mini</link>
<description><![CDATA[AI21 Jamba2 Mini is an Apache 2.0 open-weight text model with 52B total parameters, 12B active parameters and a 256K-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:33:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:33:11 GMT</lastmod>
<category><![CDATA[ai21-labs/models]]></category>
</item>
<item>
<title>IBM slate-125m-english-rtrvr-v2 for English Semantic Search</title>
<link>https://llms.ninja/ibm/models/slate-125m-english-rtrvr-v2</link>
<description><![CDATA[Explore IBM slate-125m-english-rtrvr-v2, an English retrieval embedding model with 768-dimensional vectors, a 512-token limit, $0.0001 per 1,000 input tokens pricing, and a 2027 withdrawal date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:33:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:33:07 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM slate-30m-english-rtrvr-v2: English Embeddings and Status</title>
<link>https://llms.ninja/ibm/models/slate-30m-english-rtrvr-v2</link>
<description><![CDATA[IBM slate-30m-english-rtrvr-v2 is a compact English embedding model with 384-dimensional vectors, a 512-token limit, and deprecated watsonx.ai availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:19:30 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:19:30 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite-Embedding-278M-Multilingual: 12-Language Model Status</title>
<link>https://llms.ninja/ibm/models/granite-embedding-278m-multilingual</link>
<description><![CDATA[Learn about IBM Granite-Embedding-278M-Multilingual, its 768-dimensional vectors, 12-language support, 512-token limit, Apache 2.0 license, and retired status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:09:12 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-Embedding-107M-Multilingual: IBM Model Guide</title>
<link>https://llms.ninja/ibm/models/granite-embedding-107m-multilingual</link>
<description><![CDATA[Learn about IBM Granite-Embedding-107M-Multilingual, a 107M-parameter multilingual embedding model with 384-dimensional vectors, 12-language support, and a 512-token limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:09:10 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite-Embedding-125M-English for Search and RAG</title>
<link>https://llms.ninja/ibm/models/granite-embedding-125m-english</link>
<description><![CDATA[Learn how IBM Granite-Embedding-125M-English creates 768-dimensional English embeddings for semantic search, retrieval, similarity, and RAG, including its 512-token limit and legacy status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:09:07 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite Embedding 30M English for Fast Semantic Search</title>
<link>https://llms.ninja/ibm/models/granite-embedding-30m-english</link>
<description><![CDATA[Learn how IBM Granite Embedding 30M English uses compact 384-dimensional vectors and a 512-token limit for fast English retrieval, RAG, and similarity search.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:09:04 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite Embedding 311M Multilingual R2 for Cross-Lingual Search</title>
<link>https://llms.ninja/ibm/models/granite-embedding-311m-multilingual-r2</link>
<description><![CDATA[Review IBM Granite Embedding 311M Multilingual R2, an open Apache 2.0 embedding model with 32K input support, 768-dimensional vectors, multilingual retrieval, and Matryoshka reduction.]]></description>
<author>LLMS Ninja</author>
<pubDate>Saturday, 26 September 2026 12:09:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:09:02 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite Embedding 97M Multilingual R2 for Efficient Retrieval</title>
<link>https://llms.ninja/ibm/models/granite-embedding-97m-multilingual-r2</link>
<description><![CDATA[Review of IBM Granite Embedding 97M Multilingual R2, an Apache 2.0 multilingual embedding model with 384-dimensional vectors and a 32K-token input limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:58:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:58:35 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite Embedding English R2 for Search and RAG</title>
<link>https://llms.ninja/ibm/models/granite-embedding-english-r2</link>
<description><![CDATA[Explore IBM Granite Embedding English R2, an open-weight English embedding model with 768-dimensional vectors, an 8,192-token limit, and Apache 2.0 licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:58:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:58:32 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite Embedding Small English R2 for Semantic Search</title>
<link>https://llms.ninja/ibm/models/granite-embedding-small-english-r2</link>
<description><![CDATA[Review IBM Granite Embedding Small English R2, a 47M-parameter English embedding model with 384-dimensional vectors, 8,192-token inputs, and Apache 2.0 licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:58:24 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:58:24 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite Guardian 3.8B: IBM Safety Model for RAG Guardrails</title>
<link>https://llms.ninja/ibm/models/granite-guardian-3-8b</link>
<description><![CDATA[Granite Guardian 3.8B is IBM’s Apache 2.0 safety model for jailbreak detection, harmful-content screening, RAG groundedness, relevance, and hallucination evaluation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:58:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:58:19 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite Guardian 4.1 8B: IBM Open-Weight Safety Evaluator</title>
<link>https://llms.ninja/ibm/models/granite-guardian-4-1-8b</link>
<description><![CDATA[Granite Guardian 4.1 8B is IBM’s Apache 2.0 open-weight model for safety scoring, jailbreak detection, RAG evaluation, function-call checks, and custom criteria.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:58:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:58:16 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite Speech 4.1 2B NAR: Fast Multilingual ASR</title>
<link>https://llms.ninja/ibm/models/granite-speech-4-1-2b-nar</link>
<description><![CDATA[Granite Speech 4.1 2B NAR is IBM's open-weight Apache 2.0 ASR model for fast multilingual transcription with non-autoregressive inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:52:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:52:23 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite Speech 5.0 470M TurboCTC for Fast English Transcription</title>
<link>https://llms.ninja/ibm/models/granite-speech-5-0-470m-turboctc</link>
<description><![CDATA[Granite Speech 5.0 470M TurboCTC is IBM's open-weight 470M English ASR model for fast, low-latency local and enterprise transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:52:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:52:15 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-Speech-4.1-2B-Plus: Speaker-Aware Speech Transcription</title>
<link>https://llms.ninja/ibm/models/granite-speech-4-1-2b-plus</link>
<description><![CDATA[Granite-Speech-4.1-2B-Plus is IBM’s open-weight speech model for multilingual transcription with speaker labels, word timestamps, keyword biasing, and incremental decoding.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:52:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:52:00 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite Speech 4.1 2B: Open Multilingual Speech Model</title>
<link>https://llms.ninja/ibm/models/granite-speech-4-1-2b</link>
<description><![CDATA[Granite Speech 4.1 2B is IBM's open-weight model for multilingual transcription and speech translation, with keyword biasing and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:51:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:51:58 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite Speech 5.0 470M TurboCTC NC for Fast English Transcription</title>
<link>https://llms.ninja/ibm/models/granite-speech-5-0-470m-turboctc-nc</link>
<description><![CDATA[IBM Granite Speech 5.0 470M TurboCTC NC is a fast 470M-parameter English ASR model for local research and noncommercial transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:51:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:51:51 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite Vision 3.3 2B: IBM Document Vision Model</title>
<link>https://llms.ninja/ibm/models/granite-vision-3-3-2b</link>
<description><![CDATA[Granite Vision 3.3 2B is IBM’s open 2B-parameter model for document Q&A, OCR-oriented analysis, chart and table extraction, and multimodal RAG.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:51:48 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:51:48 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite 4.0 3B Vision: Open Model for Document Extraction</title>
<link>https://llms.ninja/ibm/models/granite-4-0-3b-vision</link>
<description><![CDATA[Granite 4.0 3B Vision is IBM’s Apache 2.0 vision-language model for extracting charts, tables, and key-value data from document images.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:51:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:51:45 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite Vision 4.1 4B for Structured Document Extraction</title>
<link>https://llms.ninja/ibm/models/granite-vision-4-1-4b</link>
<description><![CDATA[Granite Vision 4.1 4B is IBM’s open-weight vision-language model for extracting charts, tables, forms, and key-value data from document images.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:51:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:51:41 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-34B-Code-Instruct: IBM’s Legacy Coding Model</title>
<link>https://llms.ninja/ibm/models/granite-34b-code-instruct</link>
<description><![CDATA[Learn about IBM Granite-34B-Code-Instruct, a 34B-parameter Apache 2.0 coding model with an 8K context window and legacy status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:51:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:51:35 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-20B-Code-Base-SQL-Gen for Natural-Language SQL</title>
<link>https://llms.ninja/ibm/models/granite-20b-code-base-sql-gen</link>
<description><![CDATA[Learn how IBM Granite-20B-Code-Base-SQL-Gen converts natural-language questions and database schemas into SQL, including limits, pricing, capabilities, and use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:51:31 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:51:31 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-20B-Code-Base-Schema-Linking for Text-to-SQL</title>
<link>https://llms.ninja/ibm/models/granite-20b-code-base-schema-linking</link>
<description><![CDATA[Learn how IBM Granite-20B-Code-Base-Schema-Linking selects relevant database tables and columns for text-to-SQL pipelines, including limits and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:40:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:40:14 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-20B-Code-Instruct: IBM Open-Weight Coding Model</title>
<link>https://llms.ninja/ibm/models/granite-20b-code-instruct</link>
<description><![CDATA[Granite-20B-Code-Instruct is IBM’s 20B-parameter Apache 2.0 coding model for code generation, conversion, explanation, and self-hosted assistants.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:40:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:40:12 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-8B-Code-Instruct: IBM’s Open 4K Coding Model</title>
<link>https://llms.ninja/ibm/models/granite-8b-code-instruct</link>
<description><![CDATA[Learn about IBM’s Granite-8B-Code-Instruct, an Apache 2.0 open coding model with 8B parameters, a 4K context window, and deprecated status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:40:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:40:09 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite-3B-Code-Instruct: Compact 128K Coding Model</title>
<link>https://llms.ninja/ibm/models/granite-3b-code-instruct</link>
<description><![CDATA[Learn about IBM Granite-3B-Code-Instruct, its 128K context, coding capabilities, Apache 2.0 license, historical pricing, and retired watsonx.ai status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:37:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:37:01 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-7B-Lab: IBM’s Open-Weight LAB-Aligned Language Model</title>
<link>https://llms.ninja/ibm/models/granite-7b-lab</link>
<description><![CDATA[Learn how IBM Granite-7B-Lab works, including its LAB alignment, Apache 2.0 license, 8,192-token context, limits, pricing status, and self-hosted use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:36:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:36:55 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM granite-8b-japanese: Japanese Model Uses and Status</title>
<link>https://llms.ninja/ibm/models/granite-8b-japanese</link>
<description><![CDATA[Learn what IBM granite-8b-japanese supports, including Japanese text tasks, its 4,096-token context limit, text-only scope, pricing status and withdrawal from watsonx.ai.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:36:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:36:44 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 20B Multilingual: Retired Model Overview</title>
<link>https://llms.ninja/ibm/models/granite-20b-multilingual</link>
<description><![CDATA[Granite 20B Multilingual was IBM's 20B multilingual text model for five languages, RAG, summarization, extraction, and classification. It was withdrawn from watsonx.ai in 2025.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:36:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:36:39 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 13B Chat V2: Enterprise Chat Model Status and Uses</title>
<link>https://llms.ninja/ibm/models/granite-13b-chat-v2</link>
<description><![CDATA[IBM Granite 13B Chat V2 was an English enterprise chat model for RAG, question answering, summarization, and extraction. Learn its 8K context limit, historical pricing, capabilities, and withdrawal status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:36:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:36:37 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite-3.0-8B-Base: Customizable 8B Foundation Model</title>
<link>https://llms.ninja/ibm/models/granite-3-0-8b-base</link>
<description><![CDATA[Learn how IBM Granite-3.0-8B-Base works, including its 4,096-token limit, pricing, open-weight availability, customization role, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:36:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:36:32 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-3.1-8B-Instruct: IBM’s Open-Weight Long-Context Model</title>
<link>https://llms.ninja/ibm/models/granite-3-1-8b-instruct</link>
<description><![CDATA[Learn how IBM Granite-3.1-8B-Instruct supports 128K-context text workloads, RAG, multilingual tasks, coding, function calling, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:36:28 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:36:28 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-3.1-8B-Base: IBM’s Long-Context Fine-Tuning Model</title>
<link>https://llms.ninja/ibm/models/granite-3-1-8b-base</link>
<description><![CDATA[Learn how IBM Granite-3.1-8B-Base uses an 8.1B-parameter architecture, 131K-token context, Apache 2.0 license, and tuning support for specialized text applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:27:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:27:50 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 3.2 8B Instruct: Long-Context Reasoning Model</title>
<link>https://llms.ninja/ibm/models/granite-3-2-8b-instruct</link>
<description><![CDATA[Learn how IBM Granite 3.2 8B Instruct handles configurable reasoning, 131K-token context, RAG, coding, function calling, deployment, licensing, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:27:46 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:27:46 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite 3.3 8B Instruct: IBM’s Open-Weight Enterprise Model</title>
<link>https://llms.ninja/ibm/models/granite-3-3-8b-instruct</link>
<description><![CDATA[Explore IBM Granite 3.3 8B Instruct, an Apache 2.0 open-weight model with 131K context, coding, RAG, reasoning and function-calling support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:27:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:27:44 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-3.3-2B-Instruct: IBM’s Compact Open-Weight Model</title>
<link>https://llms.ninja/ibm/models/granite-3-3-2b-instruct</link>
<description><![CDATA[Learn how IBM Granite-3.3-2B-Instruct compares on context, coding, reasoning, deployment, licensing, pricing, and practical enterprise text workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:27:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:27:42 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite-4.0-H-Small Review: Long-Context RAG and Agent Model</title>
<link>https://llms.ninja/ibm/models/granite-4-0-h-small</link>
<description><![CDATA[A practical review of IBM Granite-4.0-H-Small, covering its 128K context, open-weight Apache 2.0 release, tool use, text-only limits, capabilities, and watsonx.ai pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:27:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:27:39 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite-4.0-H-Tiny: Efficient 7B Hybrid Model for Enterprise AI</title>
<link>https://llms.ninja/ibm/models/granite-4-0-h-tiny</link>
<description><![CDATA[IBM Granite-4.0-H-Tiny is an Apache 2.0 open-weight 7B hybrid MoE model with about 1B active parameters, 128K context, coding, RAG, JSON, and tool calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:22:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:22:09 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite-4.0-H-Micro: 3B Model for 128K-Context Local AI</title>
<link>https://llms.ninja/ibm/models/granite-4-0-h-micro</link>
<description><![CDATA[Learn how IBM Granite-4.0-H-Micro uses a hybrid attention-Mamba2 design, 128K context, open licensing, coding support, RAG, and tool calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:22:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:22:00 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 4.1 30B: Open-Weight Enterprise Language Model</title>
<link>https://llms.ninja/ibm/models/granite-4-1-30b</link>
<description><![CDATA[IBM Granite 4.1 30B is an Apache 2.0 open-weight text model with a 131K-token context, coding, RAG, structured output, and function calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:21:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:21:57 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Granite 4.1 8B: IBM’s Open-Weight Enterprise Model</title>
<link>https://llms.ninja/ibm/models/granite-4-1-8b</link>
<description><![CDATA[Granite 4.1 8B is IBM’s Apache 2.0 open-weight model for multilingual text, coding, RAG, structured JSON, and tool-calling workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:21:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:21:52 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 4.1 3B: Compact Open-Weight Enterprise Model</title>
<link>https://llms.ninja/ibm/models/granite-4-1-3b</link>
<description><![CDATA[IBM Granite 4.1 3B is a 3B-parameter Apache 2.0 model for multilingual text, coding, RAG, structured output, and efficient private deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:21:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:21:50 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 4.2 30B: Open-Weight Reasoning Model for Agents</title>
<link>https://llms.ninja/ibm/models/granite-4-2-30b</link>
<description><![CDATA[IBM Granite 4.2 30B is an Apache 2.0 open-weight model for reasoning, coding, multilingual text, tool calling and enterprise agents.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:21:46 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:21:46 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 4.2 8B: Open Reasoning Model for Coding and Agents</title>
<link>https://llms.ninja/ibm/models/granite-4-2-8b</link>
<description><![CDATA[IBM Granite 4.2 8B is an Apache 2.0 open-weight reasoning model for coding, tool calling, multilingual text, and agent workflows with 128K context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:14:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:14:03 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>IBM Granite 4.2 3B: Compact Open-Weight Reasoning Model</title>
<link>https://llms.ninja/ibm/models/granite-4-2-3b</link>
<description><![CDATA[IBM Granite 4.2 3B is an Apache 2.0 open-weight reasoning model with 128K context, configurable thinking modes, coding, tool calling, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:12:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:12:53 GMT</lastmod>
<category><![CDATA[ibm/models]]></category>
</item>
<item>
<title>Llama-3.1-Tulu-3-70B: Open 70B Model for Reasoning and Coding</title>
<link>https://llms.ninja/allen-institute-for-ai/models/llama-3-1-tulu-3-70b</link>
<description><![CDATA[Learn about Ai2's open Llama-3.1-Tulu-3-70B model, including its training, 131K context configuration, text-only limits, deployment needs and licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:11:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:11:40 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Llama-3.1-Tulu-3-405B: Ai2 Open-Weight Research Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/llama-3-1-tulu-3-405b</link>
<description><![CDATA[Learn about Ai2’s Llama-3.1-Tulu-3-405B, an approximately 406B-parameter open-weight model for instruction-following, reasoning, coding, and post-training research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:11:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:11:17 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Molmo2-4B: Efficient Open Model for Image and Video Understanding</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmo2-4b</link>
<description><![CDATA[Learn how Ai2’s Molmo2-4B handles image, multi-image, and video understanding, visual grounding, pointing, counting, tracking, deployment, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:11:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:11:10 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OlmoEarth-v1_2-Small Earth Observation Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoearth-v1-2-small</link>
<description><![CDATA[OlmoEarth-v1_2-Small is Ai2’s 36M-parameter Earth observation model for satellite embeddings, remote-sensing research, and downstream geospatial tasks.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:11:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:11:07 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Cerebras Llama3-DocChat 1.0 8B for Document QA and RAG</title>
<link>https://llms.ninja/cerebras/models/llama3-docchat-1-0-8b</link>
<description><![CDATA[Cerebras Llama3-DocChat 1.0 8B is an open-weight Llama 3 model for document-grounded conversational QA, local RAG, and research deployments.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:11:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:11:03 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras Dragon-DocChat Review: Conversational Document Retrieval</title>
<link>https://llms.ninja/cerebras/models/cerebras-dragon-docchat</link>
<description><![CDATA[Learn how Cerebras Dragon-DocChat uses separate query and context encoders for conversational document retrieval, including strengths, limits, pricing, and RAG use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:56 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>OLMo-2-1124-13B: Fully Open 13B Model for Local Research</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-2-1124-13b</link>
<description><![CDATA[Explore Ai2’s OLMo-2-1124-13B, a fully open 13B base language model with a 4,096-token context, Apache 2.0 license, and downloadable training artifacts.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:53 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo Hybrid 7B: Open 65K-Context Model for Efficient Long-Context Research</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-hybrid-7b</link>
<description><![CDATA[Olmo Hybrid 7B is Ai2's open Apache 2.0 text model combining Gated DeltaNet with attention for efficient 65,536-token context processing, local use, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:51 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3.1 7B RL-Zero Code: Open Coding Model for RLVR Research</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-1-7b-rl-zero-code</link>
<description><![CDATA[Learn how Ai2's Olmo 3.1 7B RL-Zero Code uses verifiable-reward training for open coding research, local deployment, evaluation, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:47 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>NVIDIA Cosmos3-Nano: 16B World Model for Physical AI</title>
<link>https://llms.ninja/nvidia/models/cosmos3-nano</link>
<description><![CDATA[NVIDIA Cosmos3-Nano is a downloadable 16B omnimodal world model for video generation, physical simulation, robotics, autonomous vehicles, and action prediction.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:45 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>PP-StructureV3: Specifications, Pricing and Availability</title>
<link>https://llms.ninja/baidu/models/pp-structurev3</link>
<description><![CDATA[PP-StructureV3 is associated with Baidu, but its purpose, capabilities, limits, pricing and API availability are not verified in the supplied research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:12 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Cerebras-GPT-111M Review: Small Open-Weight Model for Experimentation</title>
<link>https://llms.ninja/cerebras/models/cerebras-gpt-111m</link>
<description><![CDATA[Cerebras-GPT-111M is a 111M-parameter Apache 2.0 model for local experiments and fine-tuning, with a 2,048-token context and no instruction tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:09 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras-GPT-256M: Open Model for Local Research and Fine-Tuning</title>
<link>https://llms.ninja/cerebras/models/cerebras-gpt-256m</link>
<description><![CDATA[Learn how Cerebras-GPT-256M works, including its 256M parameters, 2,048-token limit, Apache 2.0 license, use cases, deployment options, and chatbot limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:08 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:08 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras-GPT-590M Review: Small Open-Weight Research Model</title>
<link>https://llms.ninja/cerebras/models/cerebras-gpt-590m</link>
<description><![CDATA[Learn what Cerebras-GPT-590M is, how its 590M parameters and 2,048-token context shape its use, and why it suits research more than production chat.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:10:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:10:00 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras-GPT-1.3B: Open Base Model for English NLP Research</title>
<link>https://llms.ninja/cerebras/models/cerebras-gpt-1-3b</link>
<description><![CDATA[Cerebras-GPT-1.3B is an Apache 2.0 open-weight English language model with 1.3B parameters, a 2,048-token context, and fine-tuning support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:57 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras-GPT-2.7B: Open 2.7B Research Model</title>
<link>https://llms.ninja/cerebras/models/cerebras-gpt-2-7b</link>
<description><![CDATA[Cerebras-GPT-2.7B is an Apache 2.0 open-weight English language model for research, fine-tuning, and text generation, with a 2,048-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:55 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras-GPT-6.7B: Open Base Model for Research and Fine-Tuning</title>
<link>https://llms.ninja/cerebras/models/cerebras-gpt-6-7b</link>
<description><![CDATA[Cerebras-GPT-6.7B is an Apache 2.0 open-weight English base model with 6.7 billion parameters, a 2,048-token sequence length, and self-hosted research use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:51 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Cerebras-GPT-13B: Open 13B Research Model Overview</title>
<link>https://llms.ninja/cerebras/models/cerebras-gpt-13b</link>
<description><![CDATA[Cerebras-GPT-13B is an Apache 2.0 open-weight GPT-style model with approximately 13 billion parameters, a 2,048-token context, and local deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:48 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:48 GMT</lastmod>
<category><![CDATA[cerebras/models]]></category>
</item>
<item>
<title>Molmo2-8B: Open Model for Video Grounding and Tracking</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmo2-8b</link>
<description><![CDATA[Learn how Ai2’s open-weight Molmo2-8B handles images and video with grounding, pointing, counting, captioning, and object tracking.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:18 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>PaddleOCR-VL-1.5: Compact Open-Weight Document Parsing Model</title>
<link>https://llms.ninja/baidu/models/paddleocr-vl-1-5</link>
<description><![CDATA[PaddleOCR-VL-1.5 is PaddlePaddle's open-weight 0.9B vision-language model for multilingual OCR, layouts, tables, formulas, charts, seals, and difficult document images.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:15 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Qianfan-Agent-Lite-8K: Baidu’s Fast Agent Planning Model</title>
<link>https://llms.ninja/baidu/models/qianfan-agent-lite-8k</link>
<description><![CDATA[Qianfan-Agent-Lite-8K is Baidu’s fast, text-only Qianfan model for enterprise question answering, lightweight agent planning, streaming responses, and 8K-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:11 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Baidu Embedding-V1: 384-Dimensional Text Embeddings for Search</title>
<link>https://llms.ninja/baidu/models/embedding-v1</link>
<description><![CDATA[Baidu Embedding-V1 converts text into 384-dimensional vectors for semantic search, RAG, recommendations, and similarity matching through Qianfan and AI Studio.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:09:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:09:04 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE X1 Turbo Review: Baidu’s Fast Reasoning Model</title>
<link>https://llms.ninja/baidu/models/ernie-x1-turbo</link>
<description><![CDATA[Learn what Baidu ERNIE X1 Turbo offers through Qianfan, including its 32K context, 16K output limit, reasoning, web search, function calling, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:58 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE X1.1: Baidu’s Deep-Reasoning Model for Agents</title>
<link>https://llms.ninja/baidu/models/ernie-x1-1</link>
<description><![CDATA[ERNIE X1.1 is Baidu’s preview reasoning model with 64K context, web search, function calling, text-only input and output, and low token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:55 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE 5.0 Review: Baidu’s Long-Context Omni-Modal Model</title>
<link>https://llms.ninja/baidu/models/ernie-5-0</link>
<description><![CDATA[ERNIE 5.0 is Baidu’s Qianfan model for text, image, audio, and video input, with a 248K-token context, text output, reasoning, coding, tools, and tiered pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:53 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE 5.1: Baidu’s Agentic Reasoning and Search Model</title>
<link>https://llms.ninja/baidu/models/ernie-5-1</link>
<description><![CDATA[Learn what Baidu ERNIE 5.1 does, how it is positioned against ERNIE 5.0, its search and agentic capabilities, and why API pricing and limits remain unverified.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:43 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>DBRX Base Review: Open-Weight Model for Self-Hosting</title>
<link>https://llms.ninja/databricks/models/dbrx-base</link>
<description><![CDATA[DBRX Base is Databricks' 132B-parameter open-weight mixture-of-experts model for text completion, coding, research, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:40 GMT</lastmod>
<category><![CDATA[databricks/models]]></category>
</item>
<item>
<title>OlmoEarth-v1_2-Base: Open Satellite Embedding Model for Earth Observation</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoearth-v1-2-base</link>
<description><![CDATA[OlmoEarth-v1_2-Base is Ai2's open-weight Earth-observation model for satellite imagery, time-series embeddings, segmentation, and remote-sensing analysis.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:37 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMoASR-tiny.en: Ai2’s 39M Open English ASR Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoasr-tiny-en</link>
<description><![CDATA[OLMoASR-tiny.en is Ai2’s 39-million-parameter open English speech recognition model for self-hosted transcription with sentence-level timestamps.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:35 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoMotion-FM: Flow-Matching 3D Motion Forecasting</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmomotion-fm</link>
<description><![CDATA[MolmoMotion-FM is Ai2’s flow-matching research model for predicting language-guided continuous 3D point trajectories from RGB observations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:33 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Molmo-72B: Ai2’s Open-Weight Vision-Language Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmo-72b</link>
<description><![CDATA[Explore Molmo-72B, Ai2’s open 72B vision-language model for image understanding, visual question answering, captioning, grounding, and self-hosted research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:21 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoE-1B-0924: Compact Open Vision-Language Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmoe-1b-0924</link>
<description><![CDATA[Learn how Ai2's MolmoE-1B-0924 handles image understanding with 1.5B active parameters, open weights, text output, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:16 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Molmo 2-O 7B: Ai2’s Open Image and Video Understanding Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmo-2-o-7b</link>
<description><![CDATA[Learn how Molmo 2-O 7B handles image, multi-image, and video understanding, including grounding, pointing, counting, tracking, deployment, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:08:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:08:14 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Llama-3.1-Tulu-3-8B: Open RLVR Model for Local Use</title>
<link>https://llms.ninja/allen-institute-for-ai/models/llama-3-1-tulu-3-8b</link>
<description><![CDATA[Learn how Ai2’s Llama-3.1-Tulu-3-8B supports local instruction following, coding and mathematics, with context limits, deployment options, pricing and license details.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:30 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:30 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMoE-1B-7B-0924: Open Sparse Mixture-of-Experts Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoe-1b-7b-0924</link>
<description><![CDATA[OLMoE-1B-7B-0924 is Ai2's open MoE language model with 1.3B active and 6.9B total parameters for efficient local text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:27 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMo-2-0325-32B: Fully Open 32B Model for Research</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-2-0325-32b</link>
<description><![CDATA[Explore Ai2’s OLMo-2-0325-32B, a fully open 32B English language model with a 4,096-token context, Apache 2.0 license, and local-deployment focus.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:25 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3 32B Instruct: Open Chat and Tool-Use Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-32b-instruct</link>
<description><![CDATA[Learn how Olmo 3 32B Instruct supports chat, tool use, long-context text processing, and self-hosting, plus its compute and modality limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:23 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3 32B Think: Ai2’s Open-Weight Reasoning Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-32b-think</link>
<description><![CDATA[Learn how Olmo 3 32B Think uses open weights, long-context support and reasoning-focused training for mathematics, coding, research and self-hosted inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:17 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3 32B Base Review: Open-Weight Model for Research</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-32b-base</link>
<description><![CDATA[Olmo 3 32B Base is Ai2’s open-weight 32B language model for research, fine-tuning, coding, and long-context text generation. See specs, limits, pricing, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:11 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>NVIDIA StreamPETR for Autonomous-Driving 3D Perception</title>
<link>https://llms.ninja/nvidia/models/streampetr</link>
<description><![CDATA[NVIDIA StreamPETR is a camera-based multi-view 3D detection and tracking model for autonomous-driving scenes, available through a free NIM endpoint.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:08 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:08 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Synthetic Video Detector for AI-Generated Video Forensics</title>
<link>https://llms.ninja/nvidia/models/synthetic-video-detector</link>
<description><![CDATA[NVIDIA Synthetic Video Detector analyzes H.264 MP4 video for signs of AI generation and returns frame-level and aggregate synthetic-likelihood scores.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:05 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA MolMIM for Molecular Generation and Optimization</title>
<link>https://llms.ninja/nvidia/models/nvidia-molmim</link>
<description><![CDATA[NVIDIA MolMIM is a BioNeMo model for SMILES generation, molecular embeddings, and property-guided small-molecule optimization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:02 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA GenMol: Fragment-Based Molecular Generation for Drug Discovery</title>
<link>https://llms.ninja/nvidia/models/nvidia-genmol</link>
<description><![CDATA[NVIDIA GenMol uses masked discrete diffusion and SAFE molecular representations for de novo molecule generation, linker design, scaffold decoration, and lead optimization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:07:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:07:00 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Ising Calibration 1 35B-A3B for Quantum Plot Analysis</title>
<link>https://llms.ninja/nvidia/models/nvidia-ising-calibration-1-35b-a3b</link>
<description><![CDATA[NVIDIA Ising Calibration 1 35B-A3B is an open-weight vision-language model for analyzing quantum-computing calibration plots and technical experiment results.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:47 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Ising Calibration 1.5 31B for Quantum Calibration</title>
<link>https://llms.ninja/nvidia/models/nvidia-ising-calibration-1-5-31b</link>
<description><![CDATA[NVIDIA Ising Calibration 1.5 31B is a 31B vision-language model for quantum calibration plots, parameter extraction, fit assessment, and QPU analysis.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:45 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Alpamayo 1.5 Nano for Autonomous Driving</title>
<link>https://llms.ninja/nvidia/models/alpamayo-1-5-nano</link>
<description><![CDATA[NVIDIA Alpamayo 1.5 Nano is an open 10B reasoning vision-language-action model for driving trajectories, reasoning traces and visual question answering.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:42 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Isaac GR00T N1.7 for Humanoid Robot Manipulation</title>
<link>https://llms.ninja/nvidia/models/nvidia-isaac-groot-n1-7</link>
<description><![CDATA[NVIDIA Isaac GR00T N1.7 is an open 3B-parameter vision-language-action model that predicts humanoid robot actions from language, video, images, and robot state.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:40 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Cosmos-Transfer2.5-2B for Controllable Physical AI Video</title>
<link>https://llms.ninja/nvidia/models/cosmos-transfer2-5-2b</link>
<description><![CDATA[Learn how NVIDIA Cosmos-Transfer2.5-2B generates controllable video for robotics, autonomous-vehicle simulation, synthetic data, and Physical AI.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:31 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:31 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Cosmos3-Nano-Reasoner for Physical-World Video Reasoning</title>
<link>https://llms.ninja/nvidia/models/cosmos3-nano-reasoner</link>
<description><![CDATA[NVIDIA Cosmos3-Nano-Reasoner is a 256K-context vision-language model for text, image, and video reasoning in robotics and Physical AI.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:25 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Cosmos3-Edge: Compact World Model for Edge Physical AI</title>
<link>https://llms.ninja/nvidia/models/cosmos3-edge</link>
<description><![CDATA[NVIDIA Cosmos3-Edge is an approximately 4B multimodal world model for edge robotics, visual reasoning, video generation, and action prediction.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:22 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Cosmos3-Super: Open 64B Physical AI World Model</title>
<link>https://llms.ninja/nvidia/models/cosmos3-super</link>
<description><![CDATA[NVIDIA Cosmos3-Super is an open 64B omnimodal world model for robotics, autonomous vehicles, simulation, synthetic data, video, audio, and action generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:19 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Riva Translate 1.6b: Multilingual Megatron NMT</title>
<link>https://llms.ninja/nvidia/models/riva-translate-1-6b</link>
<description><![CDATA[NVIDIA Riva Translate 1.6b is a downloadable Megatron-based translation model supporting any-to-any translation across 36 languages through NIM and Riva.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:07 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron 3 VoiceChat for Real-Time Voice Agents</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-3-voicechat</link>
<description><![CDATA[NVIDIA Nemotron 3 VoiceChat is a 12B full-duplex speech-to-speech model for interruptible voice agents with streaming audio input and synthesized speech output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:06:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:06:02 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron OCR v1: English OCR and Layout Analysis</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-ocr-v1</link>
<description><![CDATA[Learn how NVIDIA Nemotron OCR v1 extracts English text, bounding boxes, confidence scores, and document-layout relationships from images for search, RAG, and document ingestion.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:05:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:05:59 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron OCR v2 for Multilingual Document OCR</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-ocr-v2</link>
<description><![CDATA[NVIDIA Nemotron OCR v2 extracts multilingual text, bounding boxes, confidence scores, and layout relationships from documents and natural-scene images.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:05:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:05:57 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>Unified-IO 2: Open Multimodal Model for Vision, Audio and Action</title>
<link>https://llms.ninja/allen-institute-for-ai/models/unified-io-2</link>
<description><![CDATA[Learn how Unified-IO 2 combines text, image, audio, video understanding and action research in an open Ai2 multimodal model.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:04:56 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Unified-IO: Ai2’s Open Multimodal Research Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/unified-io</link>
<description><![CDATA[Learn how Unified-IO unifies language, vision, image generation, and computer-vision tasks, including its checkpoints, limitations, and deployment trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:04:53 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Hy-MT2-Plus: Tencent’s 7B Multilingual Translation Model</title>
<link>https://llms.ninja/tencent/models/hy-mt2-plus</link>
<description><![CDATA[Learn how Tencent’s Hy-MT2-Plus handles 33-language translation, its 8K context and 4K hosted limits, TokenHub access, pricing, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:04:45 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hy-MT2-Pro: Tencent’s Flagship Multilingual Translation Model</title>
<link>https://llms.ninja/tencent/models/hy-mt2-pro</link>
<description><![CDATA[Hy-MT2-Pro is Tencent’s 30B-A3B translation model with 33-language support, 8K context, 4K output and TokenHub API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:04:43 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Tencent Hy3: Open-Weight Reasoning and Coding Model</title>
<link>https://llms.ninja/tencent/models/hy3</link>
<description><![CDATA[Tencent Hy3 is a 295B open-weight MoE reasoning model with 21B active parameters, 256K context, coding, tool use, structured output, and Apache 2.0 licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:04:36 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Hy4 preview: Tencent’s long-context coding and reasoning model</title>
<link>https://llms.ninja/tencent/models/hy4-preview</link>
<description><![CDATA[Learn about Tencent Hy4 preview, an open-weight 770B MoE model with a 1M-token context, coding and tool support, TokenHub pricing, and preview-stage limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:04:17 GMT</lastmod>
<category><![CDATA[tencent/models]]></category>
</item>
<item>
<title>Baidu MuseSteamer-Air-I2V Image-to-Video Model</title>
<link>https://llms.ninja/baidu/models/musesteamer-air-i2v</link>
<description><![CDATA[Baidu MuseSteamer-Air-I2V creates short videos from a required still image with optional text guidance through the Qianfan API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:04:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:04:02 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Baidu MuseSteamer 2.0 Image-to-Video Model Review</title>
<link>https://llms.ninja/baidu/models/baidu-musesteeamer-2-0</link>
<description><![CDATA[Baidu MuseSteamer 2.0 is a Qianfan image-to-video family with Chinese speech, dialogue, lip synchronization, sound, and cinematic generation variants.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:59 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>MuseSteamer Air Image: Baidu Text-to-Image Model and Pricing</title>
<link>https://llms.ninja/baidu/models/musesteamer-air-image</link>
<description><![CDATA[Learn about Baidu MuseSteamer Air Image, a low-cost Qianfan text-to-image model with a 1,000-character prompt limit, multiple output sizes, and ¥0.05 pricing at 1024×1024.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:57 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE-iRAG-Edit: Baidu Image Editing Model</title>
<link>https://llms.ninja/baidu/models/ernie-irag-edit</link>
<description><![CDATA[ERNIE-iRAG-Edit is Baidu’s Qianfan model for erasing, repainting, and creating variations from existing images.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:53 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE-iRAG-1.0: Baidu’s Image-Based RAG Model</title>
<link>https://llms.ninja/baidu/models/ernie-irag-1-0</link>
<description><![CDATA[ERNIE-iRAG-1.0 is Baidu’s image-based retrieval-augmented generation model for realistic, reference-grounded text-to-image creation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:50 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Qianfan-Agent-Lite-128K: Baidu’s 128K Agent Planning Model</title>
<link>https://llms.ninja/baidu/models/qianfan-agent-lite-128k</link>
<description><![CDATA[Review of Baidu Qianfan-Agent-Lite-128K, a lightweight 128K-context planning model for function-calling and long-context agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:41 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Qianfan-Agent-Speed-32K: Baidu’s Fast 32K Agent Model</title>
<link>https://llms.ninja/baidu/models/qianfan-agent-speed-32k</link>
<description><![CDATA[Learn how Baidu’s Qianfan-Agent-Speed-32K supports fast enterprise question answering, summarization, and agent workflows with a 32K-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:39 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>Qianfan-Agent-Intent-32K for Intent Recognition and Tool Calling</title>
<link>https://llms.ninja/baidu/models/qianfan-agent-intent-32k</link>
<description><![CDATA[Learn about Baidu’s Qianfan-Agent-Intent-32K, a 32K-context text model for enterprise intent recognition and tool calling with currently unverified availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:36 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE-Code3-128K: Baidu’s Retired Coding Model</title>
<link>https://llms.ninja/baidu/models/ernie-code3-128k</link>
<description><![CDATA[ERNIE-Code3-128K was Baidu’s coding-focused 128K-sequence model for code generation, completion, testing, explanation, and Qianfan fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:33 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE-4.5-VL-28B-A3B Model Overview, Capabilities, and Specifications</title>
<link>https://llms.ninja/baidu/models/ernie-4-5-vl-28b-a3b</link>
<description><![CDATA[ERNIE-4.5-VL-28B-A3B is Baidu's open-weight 28B-parameter vision-language MoE model with 3B active parameters, text, image, and video input, and a 131K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:31 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:31 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE-4.5-0.3B: Baidu’s Compact Open-Weight Language Model</title>
<link>https://llms.ninja/baidu/models/ernie-4-5-0-3b</link>
<description><![CDATA[ERNIE-4.5-0.3B is Baidu’s compact 0.36B-parameter text model with a 131K context window, Apache 2.0 licensing, local deployment, and fine-tuning support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:21 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:21 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE 4.5 Turbo VL Review: Pricing, Vision and Video Analysis</title>
<link>https://llms.ninja/baidu/models/ernie-4-5-turbo-vl</link>
<description><![CDATA[Review of Baidu's ERNIE 4.5 Turbo VL, covering 128K context, image and video input, text output, Qianfan pricing, tools, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:19 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>ERNIE 4.5 Turbo Review: Baidu’s Fast 128K Text Model</title>
<link>https://llms.ninja/baidu/models/ernie-4-5-turbo</link>
<description><![CDATA[ERNIE 4.5 Turbo is Baidu’s fast, low-cost text model on Qianfan, with a 138K context, 12,288-token output limit, function calling, and web search.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:16 GMT</lastmod>
<category><![CDATA[baidu/models]]></category>
</item>
<item>
<title>MPT-7B-Instruct: Open-Weight Model for Local Instruction Following</title>
<link>https://llms.ninja/databricks/models/mpt-7b-instruct</link>
<description><![CDATA[Learn what MPT-7B-Instruct supports, where it fits, its 2,048-token context limit, licensing, deployment options, strengths, and practical limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:13 GMT</lastmod>
<category><![CDATA[databricks/models]]></category>
</item>
<item>
<title>MPT-7B: Verified Information, Limits and Availability</title>
<link>https://llms.ninja/databricks/models/mpt-7b</link>
<description><![CDATA[A cautious overview of MPT-7B covering the verified Databricks association and the model specifications, pricing, limits and capabilities that remain unconfirmed.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:10 GMT</lastmod>
<category><![CDATA[databricks/models]]></category>
</item>
<item>
<title>Dolly v2 12B: Databricks Open-Weight Model Guide</title>
<link>https://llms.ninja/databricks/models/dolly-v2-12b</link>
<description><![CDATA[Dolly v2 12B is Databricks’ open-weight, instruction-tuned 12-billion-parameter model for local inference, research, and customization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:07 GMT</lastmod>
<category><![CDATA[databricks/models]]></category>
</item>
<item>
<title>DBRX Instruct: Databricks’ Open-Weight MoE Language Model</title>
<link>https://llms.ninja/databricks/models/dbrx-instruct</link>
<description><![CDATA[DBRX Instruct is Databricks’ open-weight 132B-parameter MoE language model for text generation, coding, and self-hosted deployment. Hosted API serving ended in 2025.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:03:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:03:03 GMT</lastmod>
<category><![CDATA[databricks/models]]></category>
</item>
<item>
<title>OlmoEarth-v1_2-Tiny: Compact Satellite Embedding Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoearth-v1-2-tiny</link>
<description><![CDATA[OlmoEarth-v1_2-Tiny is Ai2's compact open-weight model for Sentinel-1, Sentinel-2, and Landsat representations used in remote-sensing and geospatial machine learning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:02:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:02:16 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OlmoEarth-v1_2-Nano: Lightweight Satellite Embedding Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoearth-v1-2-nano</link>
<description><![CDATA[OlmoEarth-v1_2-Nano is Ai2’s compact open-weight Earth observation model for satellite embeddings, geospatial classification, segmentation, and temporal remote-sensing analysis.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:02:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:02:07 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMoASR-large.en-v2: Ai2’s Open 1.5B English ASR Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoasr-large-en-v2</link>
<description><![CDATA[OLMoASR-large.en-v2 is Ai2’s open 1.5B-parameter English speech-recognition model for short- and long-form transcription with sentence timestamps.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:02:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:02:05 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMoASR-large.en-v1: Open 1.5B English ASR Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoasr-large-en-v1</link>
<description><![CDATA[OLMoASR-large.en-v1 is Ai2’s open 1.5B-parameter English speech recognition model for short- and long-form transcription with timestamps.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:02:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:02:02 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMoASR-medium.en: Ai2’s Open English ASR Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoasr-medium-en</link>
<description><![CDATA[OLMoASR-medium.en is Ai2’s open 769-million-parameter English speech recognition model for short- and long-form transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:02:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:02:00 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMoASR-small.en: Open 244M-Parameter English ASR Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoasr-small-en</link>
<description><![CDATA[OLMoASR-small.en is Ai2's open 244-million-parameter English speech recognition model for short- and long-form transcription with timestamps.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:58 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMoASR-base.en: Open 74M English Speech Recognition Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmoasr-base-en</link>
<description><![CDATA[OLMoASR-base.en is Ai2's open 74-million-parameter English speech recognition model for short- and long-form transcription with sentence timestamps.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:50 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoAct 7B-D Pretrain: Open Robotics Action Reasoning Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmoact-7b-d-pretrain</link>
<description><![CDATA[Learn how MolmoAct 7B-D Pretrain uses vision, language, and action reasoning for open robot manipulation research, including access, limits, pricing, and use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:48 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:48 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoAct 7B-O: Open Robot Manipulation Action Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmoact-7b-o</link>
<description><![CDATA[MolmoAct 7B-O is an open-weight vision-language-action model from Allen AI for robot manipulation, visual action reasoning, and custom fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:45 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoAct-7B-D: Open Vision-Language-Action Model for Robotics</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmoact-7b-d</link>
<description><![CDATA[Learn how Ai2's MolmoAct-7B-D combines vision, language, spatial reasoning and structured action prediction for open robotic manipulation research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:42 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoAct2-Think: Depth-Aware Robotics Model for Robot Control</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmoact2-think</link>
<description><![CDATA[MolmoAct2-Think is Ai2’s open 5B vision-language-action model with depth-token reasoning for robot manipulation, embodied AI, and policy fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:40 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoAct2: Open Vision-Language-Action Model for Robot Control</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmoact2</link>
<description><![CDATA[Learn how MolmoAct2 combines embodied visual reasoning, robot-state modeling, and action generation for open robotics research and policy fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:32 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoPoint-Vid-4B: Ai2’s Open Video Pointing Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmopoint-vid-4b</link>
<description><![CDATA[Learn how MolmoPoint-Vid-4B uses grounding tokens to point to, count, and track objects across video frames.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:29 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoPoint-GUI-8B: Open GUI Grounding Vision-Language Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmopoint-gui-8b</link>
<description><![CDATA[MolmoPoint-GUI-8B is Ai2's open vision-language model for pointing to interface elements in screenshots using grounding tokens.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:27 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>MolmoPoint-8B: Open Vision-Language Model for Visual Grounding</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmopoint-8b</link>
<description><![CDATA[MolmoPoint-8B is Ai2's open vision-language model for image and video understanding, visual pointing, object localization, counting, and tracking.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:23 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Molmo-7B-O-0924: Ai2 Open Vision-Language Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/molmo-7b-o-0924</link>
<description><![CDATA[Molmo-7B-O-0924 is Ai2’s open 7B vision-language model for image-and-text understanding, visual question answering, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:01:20 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:01:20 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>OLMo-2-1124-7B: Ai2’s Fully Open 7B Base Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-2-1124-7b</link>
<description><![CDATA[Learn about Ai2’s OLMo-2-1124-7B, a fully open 7B base language model with a 4,096-token context, Apache 2.0 license, and reproducible training artifacts.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:00:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:00:33 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3.1 7B RL-Zero Math: Open Math Reasoning Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-1-7b-rl-zero-math</link>
<description><![CDATA[Explore Olmo 3.1 7B RL-Zero Math, Ai2's open 7B checkpoint for verifiable math reasoning, RLVR research, local deployment, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:00:31 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:00:31 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3.1 Instruct 32B: Ai2’s Open-Weight Chat Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-1-instruct-32b</link>
<description><![CDATA[Learn how Olmo 3.1 Instruct 32B works, including its 65,536-token context, Apache 2.0 license, tool-use support, deployment options, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:00:20 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:00:20 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3.1 Think 32B: Open-Weight Reasoning Model for Math and Coding</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-1-think-32b</link>
<description><![CDATA[Learn how Olmo 3.1 Think 32B handles math, coding and multi-step reasoning, with details on its 65K context, license, deployment and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:00:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:00:17 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3 7B Instruct: Open Chat and Tool-Use Model</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-7b-instruct</link>
<description><![CDATA[Olmo 3 7B Instruct is Ai2's open 7B English model for chat, instruction following, coding, tool use, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:00:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:00:06 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3 7B Think: Open-Weight Reasoning for Math and Code</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-7b-think</link>
<description><![CDATA[Olmo 3 7B Think is Ai2’s Apache 2.0 open-weight reasoning model for math, coding, logic, and long-context local inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 11:00:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 05:00:05 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>Olmo 3 7B Base: Open Model for Custom Training and Deployment</title>
<link>https://llms.ninja/allen-institute-for-ai/models/olmo-3-7b-base</link>
<description><![CDATA[Olmo 3 7B Base is Ai2's open 7B language model with a 65K-token context window, Apache 2.0 licensing, downloadable weights, and released training artifacts.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:59 GMT</lastmod>
<category><![CDATA[allen-institute-for-ai/mo]]></category>
</item>
<item>
<title>NVIDIA Video Super Resolution NIM for AI Video Upscaling</title>
<link>https://llms.ninja/nvidia/models/video-super-resolution-nim</link>
<description><![CDATA[NVIDIA Video Super Resolution NIM provides AI upscaling, denoising, deblurring, and streaming enhancement for professional video workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:54 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Studio Voice: Real-Time AI Speech Enhancement</title>
<link>https://llms.ninja/nvidia/models/studio-voice</link>
<description><![CDATA[NVIDIA Studio Voice enhances speech from low-quality microphones in noisy or reverberant environments through real-time GPU-accelerated audio processing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:46 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Eye Contact: AI Gaze Redirection for Video Conferencing</title>
<link>https://llms.ninja/nvidia/models/nvidia-eye-contact</link>
<description><![CDATA[NVIDIA Eye Contact is a Maxine model and NIM service that estimates gaze and redirects the eyes toward the camera for video conferencing, telepresence, and digital humans.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:43 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Relighting: HDR Video Relighting with GPU Acceleration</title>
<link>https://llms.ninja/nvidia/models/relighting</link>
<description><![CDATA[NVIDIA Relighting applies configurable HDR-based virtual lighting, foreground separation, and background compositing to video through an NVIDIA NIM deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:39 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA LipSync for Speech-Driven Lip Dubbing and Video Localization</title>
<link>https://llms.ninja/nvidia/models/nvidia-lipsync</link>
<description><![CDATA[NVIDIA LipSync synchronizes facial mouth movements with speech audio for dubbing, localization, digital humans, broadcasting, and AR video workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:37 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Active Speaker Detection for Video Speaker Tracking</title>
<link>https://llms.ninja/nvidia/models/active-speaker-detection</link>
<description><![CDATA[NVIDIA Active Speaker Detection combines video, audio, and diarization data to identify and track active speakers in each video frame.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:34 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:34 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Magpie TTS Multilingual: 12-Language Speech Model</title>
<link>https://llms.ninja/nvidia/models/magpie-tts-multilingual</link>
<description><![CDATA[NVIDIA Magpie TTS Multilingual is a 357M-parameter speech model for expressive audio in 12 languages, with built-in voices, streaming, offline inference, and NIM deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:04 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Conformer-CTC Large English ASR Model Explained</title>
<link>https://llms.ninja/nvidia/models/nvidia-conformer-ctc-large</link>
<description><![CDATA[NVIDIA Conformer-CTC Large is a roughly 120M-parameter English ASR checkpoint for fast 16 kHz audio transcription with NeMo and Riva deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:02 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Canary-1B: Open Multilingual ASR and Speech Translation</title>
<link>https://llms.ninja/nvidia/models/nvidia-canary-1b-asr</link>
<description><![CDATA[NVIDIA Canary-1B is an open-weight multilingual speech model for offline transcription and speech translation through NVIDIA NeMo and Speech NIM.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:59:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:59:00 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Parakeet CTC 0.6B zh-CN Speech Recognition Model</title>
<link>https://llms.ninja/nvidia/models/parakeet-ctc-0-6b-zh-cn</link>
<description><![CDATA[NVIDIA Parakeet CTC 0.6B zh-CN is a downloadable FastConformer-CTC model for Mandarin-English transcription, code-switching, and streaming speech recognition.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:58:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:58:57 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Parakeet CTC 0.6B Taiwanese Mandarin ASR</title>
<link>https://llms.ninja/nvidia/models/parakeet-ctc-0-6b-zh-tw</link>
<description><![CDATA[NVIDIA Parakeet CTC 0.6B is a zh-TW speech recognition model for Taiwanese Mandarin, Mandarin-English code-switching, streaming, and offline transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:58:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:58:52 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Parakeet CTC 1.1B: English ASR for Local Transcription</title>
<link>https://llms.ninja/nvidia/models/parakeet-ctc-1-1b-asr</link>
<description><![CDATA[NVIDIA Parakeet CTC 1.1B is an open English ASR model for local, offline, fine-tuned, and buffered-streaming transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:58:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:58:45 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Riva Translate 4B Instruct v1.1 Translation Model</title>
<link>https://llms.ninja/nvidia/models/riva-translate-4b-instruct-v1-1</link>
<description><![CDATA[NVIDIA Riva Translate 4B Instruct v1.1 is a 4B multilingual translation model for 12 languages, with few-shot prompting, an 8K context window, NIM access, and downloadable weights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:58:38 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:58:38 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Riva-Translate-4B-Instruct-v2 Multilingual Translation Guide</title>
<link>https://llms.ninja/nvidia/models/riva-translate-4b-instruct-v2</link>
<description><![CDATA[NVIDIA Riva-Translate-4B-Instruct-v2 is a downloadable 4B translation model supporting English and 36 other languages with local, vLLM, and NIM deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:58:34 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:58:34 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>Parakeet CTC 0.6B: Local English Speech Recognition Model</title>
<link>https://llms.ninja/nvidia/models/parakeet-ctc-0-6b</link>
<description><![CDATA[NVIDIA Parakeet CTC 0.6B is an open-weight FastConformer ASR model for efficient local English transcription, long-form audio, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:58 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Parakeet TDT 0.6B v2 for Fast English Transcription</title>
<link>https://llms.ninja/nvidia/models/parakeet-tdt-0-6b-v2</link>
<description><![CDATA[NVIDIA Parakeet TDT 0.6B v2 is a 600M-parameter English ASR model with punctuation, timestamps, NeMo deployment, streaming workflows, and fine-tuning support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:55 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>Llama Nemotron Embed VL 1B v2 for Visual Document Retrieval</title>
<link>https://llms.ninja/nvidia/models/llama-nemotron-embed-vl-1b-v2</link>
<description><![CDATA[Learn how NVIDIA Llama Nemotron Embed VL 1B v2 encodes text, document images, and image-text pages into 2048-dimensional vectors for semantic search and multimodal RAG.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:52 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron ASR Streaming for Real-Time Speech-to-Text</title>
<link>https://llms.ninja/nvidia/models/nemotron-asr-streaming</link>
<description><![CDATA[NVIDIA Nemotron ASR Streaming delivers low-latency audio transcription through Speech NIM, with English and multilingual streaming profiles.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:41 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron Graphic Elements v1 Chart Detection Model</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-graphic-elements-v1</link>
<description><![CDATA[NVIDIA Nemotron Graphic Elements v1 detects ten types of chart elements in RGB document images for OCR, indexing, retrieval, and RAG pipelines.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:38 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:38 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron Page Elements v3 for Document Layout Detection</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-page-elements-v3</link>
<description><![CDATA[NVIDIA Nemotron Page Elements v3 detects tables, charts, infographics, titles, text, and headers or footers in document images for OCR and RAG pipelines.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:32 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron Table Structure v1 for Table Detection</title>
<link>https://llms.ninja/nvidia/models/nemotron-table-structure-v1</link>
<description><![CDATA[NVIDIA Nemotron Table Structure v1 detects cells, rows, columns, and merged cells in document images for OCR alignment and table reconstruction.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:29 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron Parse 2.0 for Document OCR and Layout Understanding</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-parse-2-0</link>
<description><![CDATA[NVIDIA Nemotron Parse 2.0 is an open-weight vision-language model for document OCR, layout analysis, table and chart extraction, reading order, and structured text.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:26 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:26 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>Alice 30B Review: Yandex Model Verification and Available Evidence</title>
<link>https://llms.ninja/yandex/models/alice-30b</link>
<description><![CDATA[Alice 30B is not currently verified in Yandex's public model or pricing catalogs. See what is known, what remains unknown, and how to assess the model name.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:14 GMT</lastmod>
<category><![CDATA[yandex/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron 3.5 Content Safety for Multilingual AI Moderation</title>
<link>https://llms.ninja/nvidia/models/nemotron-3-5-content-safety</link>
<description><![CDATA[NVIDIA Nemotron 3.5 Content Safety is a 4B multilingual multimodal model for moderating text, images, AI responses, and custom safety policies.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:09 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron 3 Embed 1B Model: Specs, Uses, and Pricing</title>
<link>https://llms.ninja/nvidia/models/nemotron-3-embed-1b</link>
<description><![CDATA[NVIDIA Nemotron 3 Embed 1B is a multilingual text-embedding model for semantic search, retrieval, code search, and RAG, with 2,048-dimensional outputs and a 32K-token limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:57:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:57:05 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron 3 Nano Omni: Open-Weight Multimodal Reasoning</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-3-nano-omni-30b-a3b-reasoning</link>
<description><![CDATA[NVIDIA Nemotron 3 Nano Omni is an open-weight 30B-A3B reasoning model for long-context text, image, video, and audio understanding.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:56:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:56:59 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron 3 Super 120B-A12B: Open-Weight Long-Context Model</title>
<link>https://llms.ninja/nvidia/models/nemotron-3-super-120b-a12b</link>
<description><![CDATA[NVIDIA Nemotron 3 Super 120B-A12B is an open-weight hybrid MoE model for reasoning, coding, tool use, agentic workflows, and up to 1 million tokens of context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:56:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:56:56 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron 3 Ultra 550B-A55B for Reasoning and Long-Context Agents</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-3-ultra-550b-a55b</link>
<description><![CDATA[NVIDIA Nemotron 3 Ultra 550B-A55B is an open-weight text reasoning model with 550B total parameters, tool use, coding ability, and up to 1M-token serving profiles.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:56:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:56:50 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>NVIDIA Nemotron 3.5 Lightning 30B-A3B for Fast AI Agents</title>
<link>https://llms.ninja/nvidia/models/nvidia-nemotron-3-5-lightning-30b-a3b</link>
<description><![CDATA[NVIDIA Nemotron 3.5 Lightning 30B-A3B is an open hybrid MoE model with 30B total and 3B active parameters, up to 1M-token context, reasoning, coding, and agent support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 10:56:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 04:56:40 GMT</lastmod>
<category><![CDATA[nvidia/models]]></category>
</item>
<item>
<title>YandexGPT Pro 5.1 for Business Text Generation</title>
<link>https://llms.ninja/yandex/models/yandexgpt-pro-5-1</link>
<description><![CDATA[YandexGPT Pro 5.1 is Yandex’s enterprise text model for Russian-language document analysis, RAG, structured extraction, tool calling, and reporting.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 06:24:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 12:24:01 GMT</lastmod>
<category><![CDATA[yandex/models]]></category>
</item>
<item>
<title>YandexGPT 5 Lite Review: Verified Features and Limits</title>
<link>https://llms.ninja/yandex/models/yandexgpt-5-lite</link>
<description><![CDATA[A careful review of YandexGPT 5 Lite covering its provider, ecosystem role, unverified specifications, pricing status, limitations, and practical use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 06:23:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 12:23:29 GMT</lastmod>
<category><![CDATA[yandex/models]]></category>
</item>
<item>
<title>Alice AI ART: Yandex’s Text-to-Image Generation Model</title>
<link>https://llms.ninja/yandex/models/alice-ai-art</link>
<description><![CDATA[Alice AI ART is Yandex’s image-generation model for text-to-image workflows, with a 500-character context and per-request pricing through AI Studio.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 06:23:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 12:23:27 GMT</lastmod>
<category><![CDATA[yandex/models]]></category>
</item>
<item>
<title>Alice AI LLM Flash: Yandex’s Fast Business Language Model</title>
<link>https://llms.ninja/yandex/models/alice-ai-llm-flash</link>
<description><![CDATA[Learn how Yandex Alice AI LLM Flash handles high-volume business text tasks, its 65K context window, API access, cost positioning, use cases, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 06:23:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 12:23:25 GMT</lastmod>
<category><![CDATA[yandex/models]]></category>
</item>
<item>
<title>Alice AI LLM: Yandex’s Long-Context Russian-Language Model</title>
<link>https://llms.ninja/yandex/models/alice-ai-llm</link>
<description><![CDATA[Explore Alice AI LLM, Yandex’s 128K-token text model for Russian-language dialogue, RAG, document analysis, extraction, reporting, and AI assistants.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 06:23:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 12:23:09 GMT</lastmod>
<category><![CDATA[yandex/models]]></category>
</item>
<item>
<title>Yi-VL-34B: Open-Weight Bilingual Vision-Language Model</title>
<link>https://llms.ninja/01-ai/models/yi-vl-34b</link>
<description><![CDATA[Evaluate Yi-VL-34B, 01.AI’s open-weight bilingual vision-language model for image understanding, visual question answering, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:55:31 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:55:31 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-VL-6B: Local Bilingual Vision-Language Model for Image Understanding</title>
<link>https://llms.ninja/01-ai/models/yi-vl-6b</link>
<description><![CDATA[Learn how Yi-VL-6B supports bilingual single-image understanding, OCR-assisted extraction, visual question answering, local deployment, architecture, limits, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:55:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:55:23 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-Coder-9B-Chat: Open-Weight Coding Model with 128K Context</title>
<link>https://llms.ninja/01-ai/models/yi-coder-9b-chat</link>
<description><![CDATA[Yi-Coder-9B-Chat is 01.AI's Apache 2.0 coding model with about 9B parameters, 128K context, 52 supported languages, and self-hosted deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:55:21 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:55:21 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-Coder-9B: Open-Weight Coding Model with 128K Context</title>
<link>https://llms.ninja/01-ai/models/yi-coder-9b</link>
<description><![CDATA[Yi-Coder-9B is 01.AI's open-weight 9B coding model with 128K context, 52 programming languages, Apache 2.0 licensing, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:55:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:55:18 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-Coder-1.5B-Chat: Small Open-Weight Coding Model</title>
<link>https://llms.ninja/01-ai/models/yi-coder-1-5b-chat</link>
<description><![CDATA[Yi-Coder-1.5B-Chat is 01.AI’s Apache 2.0 coding model with 1.5B parameters, a 128K context window, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:55:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:55:15 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-Coder-1.5B: Compact Open-Weight Coding Model with 128K Context</title>
<link>https://llms.ninja/01-ai/models/yi-coder-1-5b</link>
<description><![CDATA[Yi-Coder-1.5B is 01.AI's compact Apache 2.0 coding model with a 128K-token context window, 52-language coverage, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:55:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:55:11 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-1.5-34B-Chat: Open-Weight Bilingual Model for Self-Hosting</title>
<link>https://llms.ninja/01-ai/models/yi-15-34b-chat</link>
<description><![CDATA[Yi-1.5-34B-Chat is 01.AI's 34B Apache 2.0 bilingual text model for coding, reasoning, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:57 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-1.5-34B: Open-Weight English-Chinese Base Model</title>
<link>https://llms.ninja/01-ai/models/yi-15-34b</link>
<description><![CDATA[Yi-1.5-34B is 01.AI’s 34B open-weight English-and-Chinese base model for local deployment, research, coding, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:53 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-6B-200K: 01.AI’s Open-Weight 200K-Context Model</title>
<link>https://llms.ninja/01-ai/models/yi-6b-200k</link>
<description><![CDATA[Learn about Yi-6B-200K, 01.AI’s 6B bilingual base model with an approximately 200K-token context window, Apache 2.0 license, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:39 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-9B-200K: Open-Weight Model with a 200K Context Window</title>
<link>https://llms.ninja/01-ai/models/yi-9b-200k</link>
<description><![CDATA[Learn about Yi-9B-200K, 01.AI’s open-weight 9B base model for long documents, coding, bilingual text generation, local inference, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:33 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-34B-200K: 200K-Context Base Language Model</title>
<link>https://llms.ninja/01-ai/models/yi-34b-200k</link>
<description><![CDATA[Explore 01.AI’s Yi-34B-200K, a 34B bilingual base model with a 200,000-token context window for long documents, retrieval, and self-hosted research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:27 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-1.5-6B-Chat: Compact Open-Weight Model for Local Chat</title>
<link>https://llms.ninja/01-ai/models/yi-15-6b-chat</link>
<description><![CDATA[Yi-1.5-6B-Chat is 01.AI's Apache 2.0 open-weight 6B chat model with a 4,096-token context window and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:23 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-1.5-9B: Open-Weight Base Model for Local Deployment</title>
<link>https://llms.ninja/01-ai/models/yi-15-9b</link>
<description><![CDATA[Explore Yi-1.5-9B from 01.AI, a 9B open-weight base model with a 4,096-token context, Apache 2.0 license, local deployment options, and no official hosted price.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:21 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:21 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-1.5-9B-Chat: Open-Weight 9B Model for Local AI</title>
<link>https://llms.ninja/01-ai/models/yi-15-9b-chat</link>
<description><![CDATA[Learn about Yi-1.5-9B-Chat, 01.AI’s open-weight 9B conversational model with a 4K context window, Apache 2.0 license, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:46:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:46:18 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-1.5-6B: Open-Weight Base Model for Local AI</title>
<link>https://llms.ninja/01-ai/models/yi-1-5-6b</link>
<description><![CDATA[Yi-1.5-6B is 01.AI’s approximately 6B-parameter Apache 2.0 base model for local text generation, fine-tuning, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:45:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:45:57 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-34B-Chat: Open-Weight Bilingual Model for Self-Hosting</title>
<link>https://llms.ninja/01-ai/models/yi-34b-chat</link>
<description><![CDATA[Yi-34B-Chat is 01.AI's 34-billion-parameter open-weight model for English-Chinese dialogue, instruction following, local inference, and customization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:45:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:45:53 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-34B: Open-Weight Bilingual Model for Local Deployment</title>
<link>https://llms.ninja/01-ai/models/yi-34b</link>
<description><![CDATA[Yi-34B is 01.AI’s 34-billion-parameter open-weight bilingual base model for English-Chinese text generation, coding, research, fine-tuning, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:45:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:45:49 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-9B: Open-Weight Bilingual Model for Coding and Math</title>
<link>https://llms.ninja/01-ai/models/yi-9b</link>
<description><![CDATA[Learn about 01.AI Yi-9B, a 9B-parameter bilingual open-weight model for coding, mathematics, reasoning, local deployment and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:45:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:45:39 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-6B-Chat Review: Compact Open-Weight English–Chinese Model</title>
<link>https://llms.ninja/01-ai/models/yi-6b-chat</link>
<description><![CDATA[Learn what Yi-6B-Chat offers, including its bilingual text capabilities, 4K context window, hardware requirements, licensing, pricing status, strengths, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:45:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:45:35 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-6B: Compact Bilingual Open-Weight Model for Local Inference</title>
<link>https://llms.ninja/01-ai/models/yi-6b</link>
<description><![CDATA[Yi-6B is 01.AI's 6-billion-parameter English-Chinese base model for local deployment, research, fine-tuning, and open-weight text generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:45:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:45:32 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-Lightning: 01.AI’s Fast, Cost-Efficient MoE Language Model</title>
<link>https://llms.ninja/01-ai/models/yi-lightning</link>
<description><![CDATA[Explore Yi-Lightning from 01.AI, including its MoE architecture, 16K context, 4K output limit, historical pricing, capabilities and current availability caveats.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:45:30 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:45:30 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi Large FC: 01.AI Function-Calling Model for AI Agents</title>
<link>https://llms.ninja/01-ai/models/yi-large-fc</link>
<description><![CDATA[Learn how Yi Large FC uses structured function calling for agents and automation, with 32K context, $3 per million token pricing, and availability caveats.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:26:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:26:51 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi Large Turbo Review: Fast, Low-Cost Text Generation from 01.AI</title>
<link>https://llms.ninja/01-ai/models/yi-large-turbo</link>
<description><![CDATA[Yi Large Turbo is 01.AI’s low-cost text model for chat, summarization, classification, and generation. See its 4K context, pricing, API, strengths, and limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:26:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:26:42 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>Yi-Large by 01.AI: 100B Model for Long-Context Text Tasks</title>
<link>https://llms.ninja/01-ai/models/yi-large</link>
<description><![CDATA[Learn about Yi-Large, 01.AI’s 100B text model with a 32K context window, OpenAI-compatible API, $3 per million token pricing, and documented limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:26:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:26:40 GMT</lastmod>
<category><![CDATA[01-ai/models]]></category>
</item>
<item>
<title>GLM-5.3: Z.ai’s Open-Weight Model for Long-Horizon Coding</title>
<link>https://llms.ninja/z-ai/models/glm-5-3</link>
<description><![CDATA[Explore Z.ai GLM-5.3, a 744B-parameter reasoning model with a 1M-token context, 128K output limit, coding-agent tools, and open-weight checkpoints.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:19:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:19:16 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>GLM-5.3-Flash: Multimodal Coding and Agent Model</title>
<link>https://llms.ninja/z-ai/models/glm-5-3-flash</link>
<description><![CDATA[GLM-5.3-Flash is Z.ai's 1M-context multimodal model for coding, reasoning, visual understanding, tool use, and cost-sensitive agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:18:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:18:51 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>GLM-5.2 Review: Open-Weight Model for Long-Horizon Coding</title>
<link>https://llms.ninja/z-ai/models/glm-5-2</link>
<description><![CDATA[GLM-5.2 is Z.AI’s open-weight reasoning and coding model with a 1M-token context, 128K output limit, tool use, structured responses and API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:18:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:18:42 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>GLM-Image: Z.ai’s Open-Weight Image Generation Model</title>
<link>https://llms.ninja/z-ai/models/glm-image</link>
<description><![CDATA[GLM-Image combines autoregressive and diffusion components for text-to-image generation, image editing, text rendering, and structured visual compositions.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:18:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:18:36 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>GLM-ASR-2512: Z.AI Speech-to-Text Model for Real-Time Transcription</title>
<link>https://llms.ninja/z-ai/models/glm-asr-2512</link>
<description><![CDATA[GLM-ASR-2512 is Z.AI’s hosted speech-recognition model for multilingual transcription, streaming audio, dialect support, prompts, and custom hotwords.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:18:26 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:18:26 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>GLM-OCR Review: Compact OCR for PDFs, Tables, and Structured Extraction</title>
<link>https://llms.ninja/z-ai/models/glm-ocr</link>
<description><![CDATA[GLM-OCR is Z.ai’s compact open-weight OCR model for extracting text, tables, formulas, handwriting, and structured information from images and PDFs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:18:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:18:18 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>CogVideoX-3: Z.ai’s Hosted 4K Video Generation Model</title>
<link>https://llms.ninja/z-ai/models/cogvideox-3</link>
<description><![CDATA[Learn about Z.ai’s CogVideoX-3 video model, including text and image inputs, start/end frames, 4K output, 5- or 10-second clips, audio, API access, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:18:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:18:04 GMT</lastmod>
<category><![CDATA[z-ai/models]]></category>
</item>
<item>
<title>Z.ai: Features, Free Access, Coding Plans and API</title>
<link>https://llms.ninja/z-ai</link>
<description><![CDATA[Learn what Z.ai offers, including free chat, GLM models, coding tools, multimodal features, paid Coding Plans, desktop apps, and API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 04:17:34 GMT</pubDate>
<lastmod>Friday, 25 September 2026 10:17:34 GMT</lastmod>
<category><![CDATA[z-ai]]></category>
</item>
<item>
<title>CLIP Model Guide: OpenAI’s Image-Text Embedding Model</title>
<link>https://llms.ninja/openai/models/clip</link>
<description><![CDATA[Understand OpenAI CLIP, its image-text embeddings, zero-shot classification, model variants, 77-token text context, uses, limits, and deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:25:23 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>MiniMax Music 2.0: AI Song Generation with Vocals and Arrangements</title>
<link>https://llms.ninja/minimax/models/minimax-music-20</link>
<description><![CDATA[MiniMax Music 2.0 generates complete songs from lyrics and prompts, with vocals, melodies, structured sections, instrumental arrangements, duets, and up to five-minute compositions.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:14:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:14:47 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Music Cover: AI Song Style Transfer Model</title>
<link>https://llms.ninja/minimax/models/minimax-music-cover</link>
<description><![CDATA[MiniMax Music Cover transforms an existing song into a new genre, arrangement, and vocal style while preserving its melodic foundation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:14:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:14:44 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Music 2.6: Cover Mode and AI Music Generation</title>
<link>https://llms.ninja/minimax/models/minimax-music-26</link>
<description><![CDATA[MiniMax Music 2.6 creates songs and instrumentals from text and lyrics, with detailed musical controls and Cover mode for melodic reinterpretation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:10:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:10:22 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Hailuo 2.3 for Realistic Motion and AI Video</title>
<link>https://llms.ninja/minimax/models/minimax-hailuo-23</link>
<description><![CDATA[Explore MiniMax Hailuo 2.3 for text-to-video and image-to-video generation, including resolutions, clip limits, pricing, strengths, limitations, and current model positioning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:10:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:10:19 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Music 3.0: Open-Weight Complete Song Generation</title>
<link>https://llms.ninja/minimax/models/minimax-music-30</link>
<description><![CDATA[MiniMax Music 3.0 generates complete songs up to five minutes from lyrics and structured musical descriptions, with local open-weight deployment and stereo WAV output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:10:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:10:04 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax ASR 1.0: Multilingual Transcription, Diarization and Pricing</title>
<link>https://llms.ninja/minimax/models/minimax-asr-1-0</link>
<description><![CDATA[MiniMax ASR 1.0 transcribes audio with multilingual recognition, streaming JSON, speaker diarization, timestamps, and SRT or WebVTT export.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:10:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:10:02 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Speech 2.6 Turbo for Low-Latency Voice Agents</title>
<link>https://llms.ninja/minimax/models/speech-26-turbo</link>
<description><![CDATA[MiniMax Speech 2.6 Turbo is a low-latency text-to-speech model for streaming voice agents, multilingual synthesis, expressive speech, and voice cloning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:59 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>Qwen3.8-2.4T-A95B: Open-Weight Model for Long-Context Reasoning</title>
<link>https://llms.ninja/qwen/models/qwen3-8-2-4t-a95b</link>
<description><![CDATA[Qwen3.8-2.4T-A95B is Alibaba’s open-weight MoE model with 2.4T total parameters, 95B active parameters, a 1M-token context, reasoning modes, tools, and web search.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:58 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Grok Voice Think Fast 2.0: Realtime Voice Model and Pricing</title>
<link>https://llms.ninja/xai/models/grok-voice-think-fast-2-0</link>
<description><![CDATA[Grok Voice Think Fast 2.0 is xAI’s realtime speech-to-speech model with streaming audio, parallel reasoning, transcription, tool calling and telephony support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:55 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>MiniMax Speech-02-Turbo: Low-Latency Multilingual TTS</title>
<link>https://llms.ninja/minimax/models/speech-02-turbo</link>
<description><![CDATA[Learn how MiniMax Speech-02-Turbo handles streaming multilingual text-to-speech, voice cloning, expressive controls, audio formats, use cases, limits, and current availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:37 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Speech-02-HD: Voice Cloning, Languages and Pricing</title>
<link>https://llms.ninja/minimax/models/speech-02-hd</link>
<description><![CDATA[Explore MiniMax Speech-02-HD for expressive multilingual text-to-speech, zero-shot voice cloning, audio formats, limits, pricing, and current availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:29 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Speech-2.6-HD for High-Fidelity Voiceovers and Narration</title>
<link>https://llms.ninja/minimax/models/speech-26-hd</link>
<description><![CDATA[Learn what MiniMax Speech-2.6-HD does, where it fits, its quality-versus-latency trade-off, use cases, limitations, and current availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:27 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Speech-2.8-Turbo: Low-Latency Text-to-Speech</title>
<link>https://llms.ninja/minimax/models/speech-28-turbo</link>
<description><![CDATA[MiniMax Speech-2.8-Turbo is a low-latency text-to-speech model with expressive multilingual audio, voice controls, streaming, and voice-cloning workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:25 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Speech-2.8-HD: High-Fidelity Text-to-Speech</title>
<link>https://llms.ninja/minimax/models/minimax-speech-28-hd</link>
<description><![CDATA[MiniMax Speech-2.8-HD is an expressive text-to-speech model with sound tags, voice cloning, multilingual synthesis, configurable audio, HTTP generation, and WebSocket streaming.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:22 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax image-01: Reference-Guided Image Generation API</title>
<link>https://llms.ninja/minimax/models/image-01</link>
<description><![CDATA[Learn how MiniMax image-01 generates images from text and reference images, with multiple aspect ratios, batch generation, API access, and documented limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:16 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax T2V-01: Legacy 720p Text-to-Video Model</title>
<link>https://llms.ninja/minimax/models/minimax-t2v-01</link>
<description><![CDATA[MiniMax T2V-01 was a Hailuo text-to-video model for six-second 720p clips at 25 fps. Learn its specifications, limitations, and legacy status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:14 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax T2V-01-Director: Directed Cinematic Text-to-Video</title>
<link>https://llms.ninja/minimax/models/minimax-t2v-01-director</link>
<description><![CDATA[Learn how MiniMax T2V-01-Director generates six-second 720P videos with directed cinematic camera movements, plus its limits and availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:12 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Hailuo 02: Native 1080p Short-Clip Video Model</title>
<link>https://llms.ninja/minimax/models/minimax-hailuo-02</link>
<description><![CDATA[Learn about MiniMax Hailuo 02, a legacy text-to-video and image-to-video model with native 1080p output, complex-motion handling, and frame controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:09 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax Hailuo 2.3 Fast for Low-Cost Image-to-Video Generation</title>
<link>https://llms.ninja/minimax/models/minimax-hailuo-23-fast</link>
<description><![CDATA[Evaluate MiniMax Hailuo 2.3 Fast for rapid image-to-video generation, including supported inputs, resolutions, historical pricing, limitations, and current availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:09:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:09:06 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax H3 Max: Fast Video Generation with Synchronized Audio</title>
<link>https://llms.ninja/minimax/models/minimax-h3-max</link>
<description><![CDATA[MiniMax H3 Max is fal's hosted video model for fast 5-to-15-second clips from text and reference media, with synchronized audio and up to 1080p output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:49 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax H3: Open-Weight Video Generation with Native Stereo Audio</title>
<link>https://llms.ninja/minimax/models/minimax-h3</link>
<description><![CDATA[Learn how MiniMax H3 combines text, image, video and audio references with synchronized stereo sound, local 768p inference and hosted 2K generation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:44 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>Kimi K2 Thinking: Open-Weight Reasoning Model for Long-Horizon Agents</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k2-thinking</link>
<description><![CDATA[Kimi K2 Thinking is Moonshot AI’s open-weight reasoning model with a 256K context window, tool orchestration, and a 1T-parameter MoE design. Its direct API is retired.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:40 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Microsoft Phi-4: Open 14B Model for STEM Reasoning and Coding</title>
<link>https://llms.ninja/microsoft/models/phi-4</link>
<description><![CDATA[Microsoft Phi-4 is a 14B open-weight text model for mathematics, science, coding, and reasoning, with a 16K context window and MIT license.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:37 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Transcribe-1.5 Review: Microsoft Speech-to-Text Model</title>
<link>https://llms.ninja/microsoft/models/mai-transcribe-1-5</link>
<description><![CDATA[Learn what Microsoft MAI-Transcribe-1.5 supports, including 43 languages, pricing, audio transcription speed, keyword biasing, and its streaming and diarization limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:33 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Transcribe-2: Microsoft’s Multilingual Speech-to-Text Model</title>
<link>https://llms.ninja/microsoft/models/mai-transcribe-2</link>
<description><![CDATA[Learn how Microsoft MAI-Transcribe-2 handles 60-language audio transcription, diarization, word timestamps, code switching, pricing, and preview limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:29 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Microsoft MAI-Voice-2 for Expressive Multilingual Speech</title>
<link>https://llms.ninja/microsoft/models/mai-voice-2</link>
<description><![CDATA[Microsoft MAI-Voice-2 is an expressive multilingual text-to-speech model for long-form narration, voice-over, emotion control, and gated voice prompting.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:25 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Amazon Titan Multimodal Embeddings G1 for Text-to-Image Search</title>
<link>https://llms.ninja/amazon/models/amazon-titan-multimodal-embeddings-g1</link>
<description><![CDATA[Learn how Amazon Titan Multimodal Embeddings G1 maps text and images into shared vectors for search, recommendations, similarity matching, customization, and Bedrock applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:21 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Cohere Rerank 3.5 for Multilingual Search and RAG</title>
<link>https://llms.ninja/cohere/models/rerank-3-5</link>
<description><![CDATA[Cohere Rerank 3.5 reorders search results by semantic relevance across 100+ languages for enterprise search, hybrid retrieval, and RAG.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:17 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Command R+ 08-2024 for Enterprise RAG and Tool Use</title>
<link>https://llms.ninja/cohere/models/command-r-plus-08-2024</link>
<description><![CDATA[Evaluate Cohere Command R+ 08-2024 for enterprise RAG, long-context analysis, citations, structured outputs, tool use, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:13 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Qwen-Audio-3.1-ASR-Flash-Streaming for Live Transcription</title>
<link>https://llms.ninja/qwen/models/qwen-audio-3-1-asr-flash-streaming</link>
<description><![CDATA[Qwen-Audio-3.1-ASR-Flash-Streaming is Alibaba Cloud’s WebSocket ASR model for multilingual live transcription, Chinese dialects, timestamps, hot words, and contextual biasing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:10 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-4B: Compact Open-Weight Reasoning Model for Local Deployment</title>
<link>https://llms.ninja/qwen/models/qwen3-4b</link>
<description><![CDATA[Learn how Qwen3-4B combines switchable reasoning modes, multilingual text generation, coding support, 32K native context, and efficient local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:06 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Grok Imagine Image: xAI Image Generation and Editing Model</title>
<link>https://llms.ninja/xai/models/grok-imagine-image</link>
<description><![CDATA[Grok Imagine Image is xAI’s API model for generating and editing images from text and image inputs, with 1K and 2K outputs and per-image pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:08:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:08:02 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Llama 3.2 1B: Meta’s Lightweight Open-Weight Model for Edge AI</title>
<link>https://llms.ninja/meta-ai/models/llama-3-2-1b</link>
<description><![CDATA[Learn what Meta Llama 3.2 1B supports, including its 128K context, multilingual text generation, local deployment, tool integration, licensing, pricing status, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:07:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:07:57 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Chat Latest: OpenAI’s Rolling Instant Model for ChatGPT</title>
<link>https://llms.ninja/openai/models/chat-latest</link>
<description><![CDATA[Learn what OpenAI’s Chat Latest model supports, including image input, tools, structured outputs, 400K context, pricing, and its rolling snapshot limitation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:07:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:07:54 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5 Chat: The Deprecated ChatGPT-Aligned API Model</title>
<link>https://llms.ninja/openai/models/gpt-5-chat</link>
<description><![CDATA[GPT-5 Chat is OpenAI's deprecated ChatGPT-aligned API model with image input, a 128K context window, structured outputs, function calling, streaming, and cached-input pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:07:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:07:44 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Image-1 Mini: Low-Cost Image Generation, Pricing, and Shutdown Date</title>
<link>https://llms.ninja/openai/models/gpt-image-1-mini</link>
<description><![CDATA[GPT-Image-1 Mini is OpenAI’s lower-cost image generation and editing model. See its input types, image sizes, quality options, pricing, use cases, and 2026 shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:07:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:07:39 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Image-1.5: OpenAI Image Generation, Pricing, and 2026 Shutdown</title>
<link>https://llms.ninja/openai/models/gpt-image-1-5</link>
<description><![CDATA[GPT-Image-1.5 generates and edits images from text and image inputs. See its pricing, supported sizes, limitations, API status, and December 2026 shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:07:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:07:35 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>MiniMax M2.1: Open-Weight Coding Model for AI Agents</title>
<link>https://llms.ninja/minimax/models/minimax-m21</link>
<description><![CDATA[MiniMax M2.1 is an open-weight coding and agent model with a 204,800-token API context, tool calling, multilingual programming support, and low token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:06:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:06:18 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax-M2.1-highspeed for Fast Agentic Coding</title>
<link>https://llms.ninja/minimax/models/minimax-m21-highspeed</link>
<description><![CDATA[MiniMax-M2.1-highspeed is a text-only API model with a 204,800-token context window, tool use, streaming, and approximately 100 tokens per second output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:06:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:06:12 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax M2: Open-Weight Coding Model for Agent Workflows</title>
<link>https://llms.ninja/minimax/models/minimax-m2</link>
<description><![CDATA[MiniMax M2 is a 230B-parameter open-weight MoE model with approximately 10B active parameters, a 196K context window, coding focus, and tool use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:06:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:06:06 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax M2.5-highspeed for Fast Coding and AI Agents</title>
<link>https://llms.ninja/minimax/models/minimax-m25-highspeed</link>
<description><![CDATA[MiniMax M2.5-highspeed is a text coding and agent model with a 204,800-token context window, approximately 100 TPS output, tools, streaming, and API compatibility.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:52 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax M2.5: Low-Cost Reasoning Model for Coding Agents</title>
<link>https://llms.ninja/minimax/models/minimax-m25</link>
<description><![CDATA[Learn how MiniMax M2.5 supports coding agents, tool use, search and long-context workflows, with open weights, approximately 200K context and low launch pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:48 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:48 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax M2.7-highspeed: Fast Coding and Agentic AI</title>
<link>https://llms.ninja/minimax/models/minimax-m27-highspeed</link>
<description><![CDATA[MiniMax M2.7-highspeed is a faster M2.7 API variant for coding, reasoning, tool use, and low-latency agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:43 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax M2.7 for Coding Agents and Long-Context Workflows</title>
<link>https://llms.ninja/minimax/models/minimax-m27</link>
<description><![CDATA[Explore MiniMax M2.7's 196K context, coding and agent capabilities, tool calling, open-weight deployment, API pricing, and hardware requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:39 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MiniMax M3: Open-Weight Model for Long-Context Coding Agents</title>
<link>https://llms.ninja/minimax/models/minimax-m3</link>
<description><![CDATA[MiniMax M3 is an open-weight multimodal model for coding and agents, with up to 1 million tokens of context, text, image and video input, tool use, and API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:34 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:34 GMT</lastmod>
<category><![CDATA[minimax/models]]></category>
</item>
<item>
<title>MoonViT-SO-400M Native-Resolution Vision Encoder</title>
<link>https://llms.ninja/moonshot-ai/models/moonvit-so-400m</link>
<description><![CDATA[MoonViT-SO-400M is Moonshot AI’s open-weight 400M-parameter vision encoder for native-resolution image features and custom vision-language systems.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:30 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:30 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-Audio-7B: Open-Weight Audio Foundation Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-audio-7b</link>
<description><![CDATA[Kimi-Audio-7B is Moonshot AI's open-weight audio-language model for speech recognition, audio understanding, audio generation, and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:27 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-Audio-7B-Instruct: Open-Weight Audio Model for Speech and Conversation</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-audio-7b-instruct</link>
<description><![CDATA[Explore Kimi-Audio-7B-Instruct, Moonshot AI’s open-weight model for speech recognition, audio understanding, synthesized speech, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:23 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-Dev-72B: Open-Weight Coding Model for Software Repair</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-dev-72b</link>
<description><![CDATA[Kimi-Dev-72B is Moonshot AI's open-weight coding model for repository-level issue resolution, code repair, test generation, and self-hosted coding agents.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:05:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:05:02 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-Linear-48B-A3B-Base: Open-Weight 1M-Context Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-linear-48b-a3b-base</link>
<description><![CDATA[Kimi-Linear-48B-A3B-Base is Moonshot AI’s open-weight 48B MoE text model with about 3B active parameters, hybrid attention, and a 1M-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:59 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-Linear-48B-A3B-Instruct: 1M-Token Open-Weight Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-linear-48b-a3b-instruct</link>
<description><![CDATA[Kimi-Linear-48B-A3B-Instruct is Moonshot AI's open-weight 48B model with approximately 3B active parameters, hybrid attention, and a 1M-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:55 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Moonlight-16B-A3B: Open-Weight MoE Model for Self-Hosted Text Generation</title>
<link>https://llms.ninja/moonshot-ai/models/moonlight-16b-a3b</link>
<description><![CDATA[Learn about Moonshot AI’s Moonlight-16B-A3B open-weight MoE model, including its 16B parameters, 3B active parameters, 8K context, deployment options, capabilities, licensing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:51 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Moonlight-16B-A3B-Instruct: Open 3B-Active MoE Model</title>
<link>https://llms.ninja/moonshot-ai/models/moonlight-16b-a3b-instruct</link>
<description><![CDATA[Explore Moonlight-16B-A3B-Instruct, Moonshot AI’s MIT-licensed 16B MoE model with approximately 3B active parameters, an 8K context window, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:47 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-VL-A3B-Instruct: Open-Weight Vision and Video Understanding</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-vl-a3b-instruct</link>
<description><![CDATA[Kimi-VL-A3B-Instruct is Moonshot AI’s MIT-licensed multimodal model for image, video, OCR, document, and screenshot understanding with a 128K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:44 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-VL-A3B-Thinking Open-Weight Multimodal Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-vl-a3b-thinking</link>
<description><![CDATA[Kimi-VL-A3B-Thinking is Moonshot AI’s open-weight vision-language reasoning model with a 128K context window, image and video understanding, and MIT-licensed weights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:40 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi-VL-A3B-Thinking-2506: Open-Weight Vision Reasoning Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-vl-a3b-thinking-2506</link>
<description><![CDATA[Kimi-VL-A3B-Thinking-2506 is Moonshot AI's open-weight model for high-resolution image reasoning, video understanding, long documents, OCR and GUI grounding.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:37 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi K2 Base: Open-Weight Foundation Model for Fine-Tuning</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k2-base</link>
<description><![CDATA[Kimi K2 Base is Moonshot AI’s 1T-parameter open-weight MoE foundation model with 128K context, modified MIT licensing, and demanding self-hosted deployment requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:34 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:34 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi K2 Instruct: Open-Weight Coding and Agent Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k2-instruct</link>
<description><![CDATA[Kimi K2 Instruct is Moonshot AI's open-weight 1T-parameter MoE model for coding, text chat, reasoning, and tool-using agents.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:29 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi K2.5: Open-Weight Multimodal Model for Visual Coding</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k2-5</link>
<description><![CDATA[Kimi K2.5 is Moonshot AI’s open-weight multimodal model for visual reasoning, coding, 256K-context analysis, tool use, and agentic workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:08 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:08 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi K2.6 Review: Open-Weight Coding and Agent Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k2-6</link>
<description><![CDATA[Kimi K2.6 is Moonshot AI’s open-weight model for long-horizon coding, image understanding, tool use, and Agent Swarm workflows, with a 262,144-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:04 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi K2.7 Code: Open-Weight Model for Long-Horizon Coding Agents</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k2-7-code</link>
<description><![CDATA[Kimi K2.7 Code is Moonshot AI’s open-weight coding agent with 256K context, mandatory reasoning, tool calling, multimodal input, API access, and demanding local hardware requirements.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:04:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:04:01 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi K2.8 Preview: 1M-Token Coding Context and Kimi Code Access</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k2-8-preview</link>
<description><![CDATA[Kimi K2.8 Preview is Moonshot AI’s Kimi Code model for repository-scale coding, with up to 1,048,576 tokens of context, adjustable thinking, multimodal input, and tool use.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:57 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Kimi K3: Moonshot AI’s Open-Weight Long-Context Coding Model</title>
<link>https://llms.ninja/moonshot-ai/models/kimi-k3</link>
<description><![CDATA[Kimi K3 is Moonshot AI’s 2.8T open-weight multimodal model with native vision, a 1M-token context window, agentic coding, tool use and API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:53 GMT</lastmod>
<category><![CDATA[moonshot-ai/models]]></category>
</item>
<item>
<title>Microsoft MedImageParse 3D for CT and MRI Segmentation</title>
<link>https://llms.ninja/microsoft/models/medimageparse-3d</link>
<description><![CDATA[Learn how Microsoft MedImageParse 3D uses text prompts and NIfTI CT or MRI volumes to produce 3D segmentation masks for research and imaging workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:50 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Microsoft MedImageParse: Text-Guided Biomedical Image Segmentation</title>
<link>https://llms.ninja/microsoft/models/microsoft-medimageparse</link>
<description><![CDATA[Learn how Microsoft MedImageParse uses text prompts and biomedical images for segmentation, detection, and recognition, including inputs, outputs, deployment, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:46 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:46 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>CxrReportGen Premium: Microsoft Chest X-Ray Reporting Model</title>
<link>https://llms.ninja/microsoft/models/cxrreportgen-premium</link>
<description><![CDATA[Learn how Microsoft’s CxrReportGen Premium generates draft chest X-ray findings, including inputs, pricing, fine-tuning, limits, preview access, and clinical safeguards.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:42 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MedImageInsight Premium: Microsoft Medical Imaging Embedding Model</title>
<link>https://llms.ninja/microsoft/models/medimageinsight-premium</link>
<description><![CDATA[Learn how Microsoft MedImageInsight Premium generates 1,024-dimensional medical image and text embeddings for retrieval, similarity search, classification, and healthcare AI workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:14 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Microsoft Florence-2-large: Open Model for OCR, Detection and Captioning</title>
<link>https://llms.ninja/microsoft/models/florence-2-large</link>
<description><![CDATA[Learn how Microsoft Florence-2-large handles captioning, object detection, visual grounding and OCR, with local deployment details, limits and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:10 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Florence-2-base: Microsoft’s Compact Model for Captioning, OCR and Detection</title>
<link>https://llms.ninja/microsoft/models/florence-2-base</link>
<description><![CDATA[Learn how Microsoft Florence-2-base handles image captioning, object detection, phrase grounding and OCR with an open 230M-parameter checkpoint for local inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:07 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Microsoft Phi-3 Medium 4K Instruct: Local Coding and Reasoning Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-medium-4k-instruct</link>
<description><![CDATA[Learn how Microsoft Phi-3 Medium 4K Instruct handles coding, reasoning and text generation, with its 4K context, local deployment options, historical pricing and retirement status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:04 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Microsoft Phi-3 Medium 128K: Long-Context Open Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-medium-128k-instruct</link>
<description><![CDATA[Explore Phi-3-medium-128k-instruct, Microsoft's 14B MIT-licensed text model with a 131K context window for long documents, RAG, coding, and local or Azure deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:03:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:03:01 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-3 Small 8K Instruct: Microsoft’s Compact Open-Weight Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-small-8k-instruct</link>
<description><![CDATA[Learn how Microsoft Phi-3-small-8k-instruct compares on context, coding, pricing, deployment, modalities, limitations, and current Foundry availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:57 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-3-small-128k-instruct: Microsoft’s Long-Context Open Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-small-128k-instruct</link>
<description><![CDATA[Learn about Microsoft Phi-3-small-128k-instruct, a 7B text model with a 131K context window, MIT license, historical pricing, deployment options, and Foundry retirement status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:54 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-3-mini-4k-instruct: Efficient Small Model and Retirement Status</title>
<link>https://llms.ninja/microsoft/models/phi-3-mini-4k-instruct</link>
<description><![CDATA[Explore Microsoft Phi-3-mini-4k-instruct, a 3.8B text-only model with a 4,096-token context, historical Azure pricing, MIT license, and 2025 Foundry retirement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:49 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-3-mini-128k-instruct: Microsoft’s 128K Context Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-mini-128k-instruct</link>
<description><![CDATA[Technical overview of Microsoft's 3.8B Phi-3-mini-128k-instruct, an MIT-licensed text model with a 128K context window for local and long-document AI.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:44 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-3.5 Vision Instruct: Microsoft’s Lightweight Image Reasoning Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-5-vision-instruct</link>
<description><![CDATA[Learn how Microsoft Phi-3.5-vision-instruct handles image and text reasoning, OCR, charts, documents, multi-image comparison, deployment, limits, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:41 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-3.5-MoE-instruct: Microsoft’s 128K Open-Weight MoE Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-5-moe-instruct</link>
<description><![CDATA[Learn about Microsoft Phi-3.5-MoE-instruct, a 42B-parameter open-weight MoE model with 6.6B active parameters, 128K context, multilingual text support, and Azure retirement details.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:37 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-3.5-mini-instruct: Microsoft’s Compact 128K Open-Weight Model</title>
<link>https://llms.ninja/microsoft/models/phi-3-5-mini-instruct</link>
<description><![CDATA[Learn how Microsoft Phi-3.5-mini-instruct handles multilingual text, coding, reasoning, deployment, context limits, licensing, pricing, and local use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:33 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-4-mini-flash-reasoning: Fast Open-Weight Math Reasoning</title>
<link>https://llms.ninja/microsoft/models/phi-4-mini-flash-reasoning</link>
<description><![CDATA[Learn how Microsoft Phi-4-mini-flash-reasoning delivers efficient mathematical reasoning with 3.8B parameters, 64K context, open weights, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:29 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-4-mini-reasoning: Microsoft’s Compact Math Reasoning Model</title>
<link>https://llms.ninja/microsoft/models/phi-4-mini-reasoning</link>
<description><![CDATA[Microsoft Phi-4-mini-reasoning is a 3.8B open-weight model for mathematical reasoning, with a 128K context window, MIT licensing, and local or Azure deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:25 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-4-reasoning-plus: Open-Weight Reasoning Model for Math and Coding</title>
<link>https://llms.ninja/microsoft/models/phi-4-reasoning-plus</link>
<description><![CDATA[Microsoft's Phi-4-reasoning-plus is a 14B MIT-licensed reasoning model for math, science, coding, and local deployment, with a 32K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:21 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:21 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-4-reasoning: Microsoft’s Open-Weight Model for Math and Coding</title>
<link>https://llms.ninja/microsoft/models/phi-4-reasoning</link>
<description><![CDATA[Learn how Microsoft Phi-4-reasoning handles mathematics, coding, science, and logic with a 32K context, text-only output, open weights, and no published token price.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:17 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-4-multimodal-instruct: Open-Weight Image and Audio Understanding</title>
<link>https://llms.ninja/microsoft/models/phi-4-multimodal-instruct</link>
<description><![CDATA[Learn how Microsoft's Phi-4-multimodal-instruct handles text, images, and audio, with a 131K context, text-only output, deployment options, pricing status, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:13 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Phi-4-mini-instruct: Microsoft’s Efficient Open Coding and Reasoning Model</title>
<link>https://llms.ninja/microsoft/models/phi-4-mini-instruct</link>
<description><![CDATA[Explore Microsoft Phi-4-mini-instruct, a 3.8B MIT-licensed text model with 128K context, coding and reasoning capabilities, local deployment, and Azure pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:02:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:02:06 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Voice-2-Flash: Low-Latency Expressive Text-to-Speech</title>
<link>https://llms.ninja/microsoft/models/mai-voice-2-flash</link>
<description><![CDATA[Explore Microsoft MAI-Voice-2-Flash, a public-preview text-to-speech model for fast expressive speech, multilingual voice agents, IVR, and call centers.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:01:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:01:11 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Image-2.5: Microsoft’s Image Generation and Editing Model</title>
<link>https://llms.ninja/microsoft/models/mai-image-2-5</link>
<description><![CDATA[Learn how Microsoft MAI-Image-2.5 handles text-to-image generation and controlled image editing, including API limits, pricing, inputs, outputs, and preview restrictions.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:01:08 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:01:08 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Image-2.5-Flash: Fast Microsoft Image Generation and Editing</title>
<link>https://llms.ninja/microsoft/models/mai-image-2-5-flash</link>
<description><![CDATA[MAI-Image-2.5-Flash is Microsoft’s preview model for fast, lower-cost text-to-image generation and image editing through Microsoft Foundry.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:01:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:01:04 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Titan Image Generator G1 v2: Controlled Image Generation in Bedrock</title>
<link>https://llms.ninja/amazon/models/titan-image-generator-g1-v2</link>
<description><![CDATA[Learn what Amazon Titan Image Generator G1 v2 supported, including image editing, reference conditioning, fine-tuning, limits, pricing, and its June 30, 2026 end-of-life date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:01:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:01:00 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>North Small Translate: Cohere’s Enterprise Translation Model</title>
<link>https://llms.ninja/cohere/models/north-small-translate-1-0</link>
<description><![CDATA[Cohere North Small Translate is a 218B-parameter MoE model for translation across 50+ languages, with a 16K context, API access, and open-weight deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:00:57 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Command R 08-2024: Low-Cost Long-Context RAG Model</title>
<link>https://llms.ninja/cohere/models/command-r-08-2024</link>
<description><![CDATA[Evaluate Cohere Command R 08-2024 for enterprise RAG, multilingual text generation, tool use, structured outputs, 128K context, pricing, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:00:53 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Command A Vision for Enterprise Document and Image Understanding</title>
<link>https://llms.ninja/cohere/models/command-a-vision-07-2025</link>
<description><![CDATA[Learn how Cohere Command A Vision handles OCR, documents, charts, tables and visual questions with a 128K context window and text-only output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:00:49 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Command A Reasoning: Cohere’s Enterprise Agent Model</title>
<link>https://llms.ninja/cohere/models/command-a-reasoning-08-2025</link>
<description><![CDATA[Cohere Command A Reasoning offers 256K context, 32K output, configurable thinking, tool use, structured outputs, multilingual reasoning, and Model Vault deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:00:41 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Qwen2.5-32B-Instruct: Open-Weight Long-Context Text Model</title>
<link>https://llms.ninja/qwen/models/qwen2-5-32b-instruct</link>
<description><![CDATA[Qwen2.5-32B-Instruct is a 32.5B-parameter Apache 2.0 text model with a 131K-token context, coding and multilingual support, tool calling, and local deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:38 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:00:38 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Image-Edit: Natural-Language Image Editing and Limits</title>
<link>https://llms.ninja/qwen/models/qwen-image-edit</link>
<description><![CDATA[Learn how Qwen-Image-Edit handles object changes, style transfer, image fusion, bilingual text editing, pricing, input formats, and its 1024-by-1024 output limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:00:29 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Audio-3.1-ASR-Flash-Filetrans Long-Audio Transcription Guide</title>
<link>https://llms.ninja/qwen/models/qwen-audio-3-1-asr-flash-filetrans</link>
<description><![CDATA[Qwen-Audio-3.1-ASR-Flash-Filetrans is Alibaba Cloud's asynchronous model for long audio and video transcription, with timestamps, speaker separation, dialect support, and files up to 12 hours.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 03:00:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 09:00:25 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Grok Imagine Image Quality: High-Detail Image Generation</title>
<link>https://llms.ninja/xai/models/grok-imagine-image-quality</link>
<description><![CDATA[Grok Imagine Image Quality is xAI’s image generation and editing model for detailed 1K and 2K outputs. See pricing, capabilities, limits, and retirement plans.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:59:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:59:54 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok 4.20-0309-non-reasoning: Fast 1M-Token API Model</title>
<link>https://llms.ninja/xai/models/grok-4-20-0309-non-reasoning</link>
<description><![CDATA[Grok 4.20-0309-non-reasoning is xAI’s fast text model with image input, a 1-million-token context window, tool calling, structured outputs and Batch API support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:59:48 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:59:48 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Llama 3.2 90B Vision Instruct for Visual Reasoning</title>
<link>https://llms.ninja/meta-ai/models/llama-3-2-90b-vision-instruct</link>
<description><![CDATA[Learn how Llama 3.2 90B Vision Instruct handles text and images, including its 128K context, open-weight deployment, tool limits, pricing, and use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:59:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:59:44 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama 3.2 3B: Meta’s Compact Open-Weight Model for Local AI</title>
<link>https://llms.ninja/meta-ai/models/llama-3-2-3b</link>
<description><![CDATA[Llama 3.2 3B is Meta’s 3.21B-parameter text model with a 128K context window, multilingual support, and local open-weight deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:58:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:58:57 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Llama Guard 4: Meta’s Open-Weight Multimodal Safety Classifier</title>
<link>https://llms.ninja/meta-ai/models/llama-guard-4</link>
<description><![CDATA[Llama Guard 4 is Meta’s 12B open-weight safety classifier for moderating text, images, prompts and AI-generated responses.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:54:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:58:14 GMT</lastmod>
<category><![CDATA[meta-ai/models]]></category>
</item>
<item>
<title>Claude Mythos 5.1 for Cybersecurity, Research, and Agentic Work</title>
<link>https://llms.ninja/anthropic/models/claude-mythos-5-1</link>
<description><![CDATA[Claude Mythos 5.1 is Anthropic’s invitation-only model for advanced cybersecurity, biology, coding, research, and long-running agentic workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:54:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:54:00 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Haiku 4.5: Fast, Cost-Efficient AI for High-Volume Workloads</title>
<link>https://llms.ninja/anthropic/models/claude-haiku-4-5</link>
<description><![CDATA[Claude Haiku 4.5 is Anthropic's fast Claude 4.5 model with image input, extended thinking, a 200K context window, 64K output limit, and $1/$5 per-million-token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:53:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:53:56 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Mythos Preview: Anthropic’s Cybersecurity Research Model</title>
<link>https://llms.ninja/anthropic/models/claude-mythos-preview</link>
<description><![CDATA[Claude Mythos Preview was Anthropic’s gated Project Glasswing model for cybersecurity, coding, and long-context agents, with a 1M-token context and 128K output limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:53:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:53:52 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>GPT-5.1-Codex-Max: OpenAI’s Long-Running Coding Model</title>
<link>https://llms.ninja/openai/models/gpt-5-1-codex-max</link>
<description><![CDATA[GPT-5.1-Codex-Max was OpenAI’s agentic coding model with a 400K context window, reasoning, tools, image input and context compaction. API access ended July 23, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:49:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:49:05 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>ChatGPT-4o Review: OpenAI’s Multimodal Generalist</title>
<link>https://llms.ninja/openai/models/chatgpt-4o</link>
<description><![CDATA[Learn what ChatGPT-4o does, where it fits in OpenAI’s lineup, its multimodal strengths, limitations, coding use cases, and key trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:49:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:49:01 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4.1 nano: OpenAI’s Fast, Low-Cost Model for High-Volume AI</title>
<link>https://llms.ninja/openai/models/gpt-4-1-nano</link>
<description><![CDATA[GPT-4.1 nano is OpenAI’s low-cost, fast model for high-volume workloads, with image input, a 1M-token context window, tool calling, structured outputs, and a scheduled 2026 shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:56 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>o4-mini-deep-research: OpenAI’s Lower-Cost Deep Research Model</title>
<link>https://llms.ninja/openai/models/o4-mini-deep-research</link>
<description><![CDATA[Explore OpenAI o4-mini-deep-research, including its research tools, 200K context, 100K output limit, pricing, modalities, reasoning profile, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:52 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>o3-deep-research: OpenAI’s Deep-Research Reasoning Model</title>
<link>https://llms.ninja/openai/models/o3-deep-research</link>
<description><![CDATA[Learn how OpenAI o3-deep-research handles multi-step investigations, tools, long context, pricing, modalities, limitations and deprecated status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:49 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>chatgpt-image-latest: OpenAI’s Deprecated Image Model</title>
<link>https://llms.ninja/openai/models/chatgpt-image-latest</link>
<description><![CDATA[Learn what OpenAI’s deprecated chatgpt-image-latest model does, including image generation, editing, pricing, API support, limitations, and its December 2026 shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:40 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.2-Codex: Agentic Coding Model for Long-Horizon Development</title>
<link>https://llms.ninja/openai/models/gpt-5-2-codex</link>
<description><![CDATA[GPT-5.2-Codex was OpenAI’s coding-focused reasoning model for large refactors, migrations and agentic development, with a 400K context window and 128K output limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:29 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.3 Chat: OpenAI’s Fast Conversational API Model</title>
<link>https://llms.ninja/openai/models/gpt-5-3-chat</link>
<description><![CDATA[GPT-5.3 Chat was OpenAI’s fast conversational API model with image input, tools, structured outputs, and a 128K context window. API access ended August 10, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:20 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:20 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI omni-moderation-latest: Features, Limits and API Details</title>
<link>https://llms.ninja/openai/models/omni-moderation-latest</link>
<description><![CDATA[omni-moderation-latest is OpenAI's free text-and-image moderation model for harmful-content detection, category flags, scores, and application safety workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:16 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-OSS-120B: Features, Context, License and Deployment</title>
<link>https://llms.ninja/openai/models/gpt-oss-120b</link>
<description><![CDATA[GPT-OSS-120B is OpenAI's 117B-parameter open-weight reasoning model with a 131K-token context window, tool use, fine-tuning, and Apache 2.0 licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:14 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>TTS-1: OpenAI Text-to-Speech Model, Pricing and Capabilities</title>
<link>https://llms.ninja/openai/models/tts-1</link>
<description><![CDATA[TTS-1 is OpenAI’s low-latency text-to-speech model. Learn about its voices, audio formats, streaming support, pricing, uses and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:12 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Mini Transcribe: Pricing, Features, Limits and API Support</title>
<link>https://llms.ninja/openai/models/gpt-4o-mini-transcribe</link>
<description><![CDATA[Learn about GPT-4o Mini Transcribe pricing, audio inputs, transcription limits, realtime support, prompting, strengths, and API use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:08 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:08 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4.1 Mini: Pricing, Context Window, Features, and Uses</title>
<link>https://llms.ninja/openai/models/gpt-4-1-mini</link>
<description><![CDATA[GPT-4.1 Mini is a fast OpenAI API model with a 1M-token context window, image input, tool calling, structured outputs, fine-tuning, and low token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:48:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:48:05 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>MAI-Image-2.5-Pro: Microsoft's High-Fidelity Image Model</title>
<link>https://llms.ninja/microsoft/models/mai-image-2-5-pro</link>
<description><![CDATA[Explore MAI-Image-2.5-Pro, Microsoft's public-preview image model for high-fidelity generation, precise editing, typography, and consistent visual compositions.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:45:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:45:19 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Image-2.6: Microsoft’s Image Generation and Editing Model</title>
<link>https://llms.ninja/microsoft/models/mai-image-2-6</link>
<description><![CDATA[Explore Microsoft MAI-Image-2.6, a public-preview model for text-to-image generation, multi-reference editing, web grounding, readable text, and outputs up to about 1.5K resolution.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:45:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:45:13 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Amazon Nova 2 Sonic: Real-Time Speech-to-Speech AI for Voice Apps</title>
<link>https://llms.ninja/amazon/models/amazon-nova-2-sonic</link>
<description><![CDATA[Amazon Nova 2 Sonic is Amazon Bedrock's real-time speech-to-speech model for voice applications, with streaming audio, multilingual voices, tool calling, and a 1-million-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:45:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:45:09 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova 2 Lite: Long-Context Multimodal Reasoning at Low Cost</title>
<link>https://llms.ninja/amazon/models/amazon-nova-2-lite</link>
<description><![CDATA[Evaluate Amazon Nova 2 Lite's 1M-token context, multimodal inputs, reasoning, tools, pricing, customization, limitations, and Amazon Bedrock access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:45:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:45:05 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Multimodal Embeddings for Cross-Modal Search</title>
<link>https://llms.ninja/amazon/models/amazon-nova-multimodal-embeddings</link>
<description><![CDATA[Explore Amazon Nova Multimodal Embeddings, its shared text, image, video, and audio vector space, limits, pricing model, API modes, and best use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:45:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:45:01 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Micro: Low-Cost, Low-Latency Text AI on Bedrock</title>
<link>https://llms.ninja/amazon/models/amazon-nova-micro</link>
<description><![CDATA[Amazon Nova Micro is a fast, text-only Bedrock model with a 128K context window, 5K output limit, low token pricing, streaming, caching and batch support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:53 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Lite: Fast, Low-Cost Multimodal AI on Bedrock</title>
<link>https://llms.ninja/amazon/models/amazon-nova-lite</link>
<description><![CDATA[Learn how Amazon Nova Lite handles text, images, and video through Amazon Bedrock, with pricing, context limits, tool use, caching, fine-tuning, and key trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:49 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Titan Embeddings G1 - Text for Semantic Search and RAG</title>
<link>https://llms.ninja/amazon/models/amazon-titan-embeddings</link>
<description><![CDATA[Learn how Amazon Titan Embeddings G1 - Text creates 1,536-dimensional vectors for semantic search, RAG, clustering, and retrieval through Amazon Bedrock.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:45 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Pro: A Balanced Multimodal Model for Amazon Bedrock</title>
<link>https://llms.ninja/amazon/models/amazon-nova-pro</link>
<description><![CDATA[Learn what Amazon Nova Pro supports, including text, image and video input, its 300K-token context, 5K output limit, pricing, tool use, fine-tuning, and Bedrock deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:42 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Premier: Long-Context Multimodal Model and Retirement Status</title>
<link>https://llms.ninja/amazon/models/amazon-nova-premier</link>
<description><![CDATA[Amazon Nova Premier was a 1-million-token multimodal Amazon Bedrock model for complex analysis, tool use, Web Grounding, and distillation. Access ended September 14, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:36 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Sonic: Retired Real-Time Speech-to-Speech Model</title>
<link>https://llms.ninja/amazon/models/amazon-nova-sonic</link>
<description><![CDATA[Amazon Nova Sonic was Amazon Bedrock’s real-time speech-to-speech model with bidirectional streaming, expressive voices, transcription, tool use, and a 300,000-token context window. AWS recorded its end of life as September 14, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:32 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Canvas: Controlled Image Generation on Bedrock</title>
<link>https://llms.ninja/amazon/models/amazon-nova-canvas</link>
<description><![CDATA[Explore Amazon Nova Canvas for image generation, editing, virtual try-on, background removal, Bedrock access, image limits, customization, pricing status, and its 2026 end-of-life date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:29 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Reel: AWS Video Generation and Limits</title>
<link>https://llms.ninja/amazon/models/amazon-nova-reel</link>
<description><![CDATA[Learn how Amazon Nova Reel generates 1280x720 video from text and images, including Nova Reel 1.1 duration limits, pricing, Bedrock access, and asynchronous workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:25 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Titan Text Embeddings V2 for Semantic Search and RAG</title>
<link>https://llms.ninja/amazon/models/amazon-titan-text-embeddings-v2</link>
<description><![CDATA[Learn how Amazon Titan Text Embeddings V2 supports semantic search, RAG, classification, and recommendations with configurable vectors and $0.02 per million input tokens.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:44:21 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:44:21 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Amazon Nova Act v1.0 Browser Automation Model</title>
<link>https://llms.ninja/amazon/models/amazon-nova-act-v1</link>
<description><![CDATA[Amazon Nova Act v1.0 is AWS's production browser automation model for visual UI navigation, tool-oriented actions, Python workflows, and human supervision.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:47 GMT</lastmod>
<category><![CDATA[amazon/models]]></category>
</item>
<item>
<title>Microsoft Model Router: Dynamic Model Selection in Foundry</title>
<link>https://llms.ninja/microsoft/models/model-router</link>
<description><![CDATA[Learn how Microsoft model-router dynamically selects eligible Foundry models, including its routing modes, context limits, pricing uncertainty, tool support, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:41 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Thinking-1: Microsoft’s Long-Context Reasoning Model</title>
<link>https://llms.ninja/microsoft/models/mai-thinking-1</link>
<description><![CDATA[Learn how Microsoft MAI-Thinking-1 handles enterprise math, coding, quantitative analysis, and long-context text tasks, including its 256K context, 64K output limit, preview status, and tool support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:36 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-DS-R1 Review: Microsoft’s Open-Weight Reasoning Model</title>
<link>https://llms.ninja/microsoft/models/mai-ds-r1</link>
<description><![CDATA[Learn what Microsoft MAI-DS-R1 does, including its 163,840-token limits, text-only design, open weights, reasoning strengths, tool limitations, infrastructure needs, and pricing status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:33 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>MAI-Image-2.6-Flash for Fast, High-Volume Image Generation</title>
<link>https://llms.ninja/microsoft/models/mai-image-2-6-flash</link>
<description><![CDATA[Explore MAI-Image-2.6-Flash, Microsoft’s public-preview image model for fast generation, multi-reference editing, web grounding, flexible aspect ratios, and Microsoft Foundry deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:28 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:28 GMT</lastmod>
<category><![CDATA[microsoft/models]]></category>
</item>
<item>
<title>Aya Vision 32B: Multilingual Image Understanding with Open Weights</title>
<link>https://llms.ninja/cohere/models/aya-vision-32b</link>
<description><![CDATA[Explore Aya Vision 32B, Cohere Labs' 32B multilingual vision-language model for OCR, captioning, visual question answering and image translation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:23 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Aya Expanse 32B: Cohere’s Open-Weight Multilingual Model</title>
<link>https://llms.ninja/cohere/models/aya-expanse-32b</link>
<description><![CDATA[Learn how Aya Expanse 32B supports 23 languages, 128K context, text generation, translation, API use, and gated non-commercial open-weight deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:19 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Tiny Aya Water: Compact Multilingual Model for 70 Languages</title>
<link>https://llms.ninja/cohere/models/tiny-aya-water</link>
<description><![CDATA[Tiny Aya Water is Cohere's 3.35B multilingual model for European and Asia-Pacific languages, with 70-language support, 8K context, API access, and open weights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:16 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Tiny Aya Fire: Compact Multilingual Model for South Asian Languages</title>
<link>https://llms.ninja/cohere/models/tiny-aya-fire</link>
<description><![CDATA[Explore Cohere Tiny Aya Fire, a 3.35B multilingual text model for South Asian languages with 70-language coverage, 8K context, and local deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:12 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Tiny Aya Earth: Compact Multilingual Model for African and West Asian Languages</title>
<link>https://llms.ninja/cohere/models/tiny-aya-earth</link>
<description><![CDATA[Explore Cohere Tiny Aya Earth, a 3.35B multilingual text model for 70 languages, with 8K context, API access, and open-weight local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:07 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Tiny Aya Global: Cohere’s Compact 70-Language AI Model</title>
<link>https://llms.ninja/cohere/models/tiny-aya-global</link>
<description><![CDATA[Explore Tiny Aya Global, Cohere Labs’ 3.35B multilingual model with 70-language support, an 8K context window, API access, and open-weight local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:43:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:43:03 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Transcribe Arabic: Arabic ASR Model and Open Weights</title>
<link>https://llms.ninja/cohere/models/cohere-transcribe-arabic-07-2026</link>
<description><![CDATA[Cohere Transcribe Arabic is a 2B open-weight ASR model for Arabic dialects, Arabic-English code-switching and far-field audio transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:42:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:42:56 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Transcribe: Open-Source Multilingual Speech Recognition</title>
<link>https://llms.ninja/cohere/models/cohere-transcribe-03-2026</link>
<description><![CDATA[Cohere Transcribe is a 2B-parameter Apache 2.0 speech recognition model for 14-language audio transcription through Cohere's API and Model Vault.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:42:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:42:49 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Parse v5.0 for Tables, Forms and RAG Document Parsing</title>
<link>https://llms.ninja/cohere/models/parse-v5-0</link>
<description><![CDATA[Cohere Parse v5.0 extracts text, tables, forms, images and layout information from document pages for enterprise search, RAG and document-processing workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:42:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:42:12 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere rerank-english-v3.0 for English Semantic Search</title>
<link>https://llms.ninja/cohere/models/rerank-english-v3-0</link>
<description><![CDATA[Learn how Cohere rerank-english-v3.0 improves English search and RAG rankings, including its 4,096-token context, 10,000-document limit, pricing, strengths, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:42:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:42:05 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Rerank 4 Pro for Multilingual Search and RAG</title>
<link>https://llms.ninja/cohere/models/rerank-4-pro</link>
<description><![CDATA[Cohere Rerank 4 Pro is a quality-focused multilingual reranking model with a 32,768-token context for enterprise search, RAG, and semi-structured data.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:58 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Embed Multilingual Light v3.0 for Fast Cross-Lingual Search</title>
<link>https://llms.ninja/cohere/models/embed-multilingual-light-v3-0</link>
<description><![CDATA[Cohere embed-multilingual-light-v3.0 creates compact 384-dimensional text and image embeddings for multilingual search, retrieval, clustering, and RAG.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:54 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Embed Multilingual v3.0 for Cross-Lingual Search</title>
<link>https://llms.ninja/cohere/models/embed-multilingual-v3-0</link>
<description><![CDATA[Cohere embed-multilingual-v3.0 creates 1,024-dimensional text and image embeddings across 100+ languages for search, retrieval, classification, and clustering.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:49 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Embed English Light v3.0 for Fast Semantic Search</title>
<link>https://llms.ninja/cohere/models/embed-english-light-v3-0</link>
<description><![CDATA[Cohere Embed English Light v3.0 creates compact 384-dimensional embeddings for English search, retrieval, classification, clustering, and image-input workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:46 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:46 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Embed English v3.0 for Search and Image Embeddings</title>
<link>https://llms.ninja/cohere/models/embed-english-v3-0</link>
<description><![CDATA[Cohere Embed English v3.0 creates 1,024-dimensional English text and image embeddings for semantic search, retrieval, classification, clustering, and similarity systems.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:40 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Embed v4.0: Multimodal Embeddings for Text, Images and PDFs</title>
<link>https://llms.ninja/cohere/models/embed-v4-0</link>
<description><![CDATA[Cohere Embed v4.0 supports text, image, and mixed-document embeddings with a 128K context window, configurable vector dimensions, multilingual retrieval, and enterprise deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:37 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>North Micro Vision Instruct: Compact Open-Weight Vision Model</title>
<link>https://llms.ninja/cohere/models/north-micro-vision-instruct</link>
<description><![CDATA[North Micro Vision Instruct is Cohere’s 2.4B Apache 2.0 vision-language model for multilingual image understanding, OCR, documents, charts, and private customization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:33 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere North Mini Code: Open-Weight Agentic Coding Model</title>
<link>https://llms.ninja/cohere/models/north-mini-code-1-0</link>
<description><![CDATA[Cohere North Mini Code is a 30B MoE coding model with 3B active parameters, 256K context, 64K output, tool use, and private deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:41:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:41:25 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Command A Translate: Cohere’s 23-Language Translation Model</title>
<link>https://llms.ninja/cohere/models/command-a-translate-08-2025</link>
<description><![CDATA[Command A Translate is Cohere’s 111B-parameter translation model for 23 languages, with 8K input, 8K output, Chat API access, and private deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:58 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Command R7B: Cohere’s Efficient Model for RAG and Agents</title>
<link>https://llms.ninja/cohere/models/command-r7b-12-2024</link>
<description><![CDATA[Learn how Cohere Command R7B handles RAG, tools, coding, multilingual chat, pricing, context limits, modalities, deployment, and key trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:51 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Cohere Command A for Long-Context RAG and Enterprise Agents</title>
<link>https://llms.ninja/cohere/models/command-a-03-2025</link>
<description><![CDATA[Cohere Command A is a live 111B text model with a 256K context window, tool use, structured outputs, multilingual support and API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:45 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Command A+: Cohere’s Multimodal Enterprise Agent Model</title>
<link>https://llms.ninja/cohere/models/command-a-plus-05-2026</link>
<description><![CDATA[Learn how Cohere Command A+ handles text and image input, reasoning, tools, structured outputs, 128K context, 64K output, pricing, and deployment trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:41 GMT</lastmod>
<category><![CDATA[cohere/models]]></category>
</item>
<item>
<title>Leanstral 1.5: Mistral AI’s Lean 4 Proof Engineering Model</title>
<link>https://llms.ninja/mistral-ai/models/leanstral-1-5</link>
<description><![CDATA[Learn how Leanstral 1.5 supports Lean 4 theorem proving, formal verification, autoformalization, long-context proof engineering, tools, pricing, and lifecycle limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:37 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Mistral Moderation 2: Text Safety and Jailbreak Detection</title>
<link>https://llms.ninja/mistral-ai/models/mistral-moderation-2</link>
<description><![CDATA[Mistral Moderation 2 is a free-priced, 128k-context text moderation model for policy classification, multi-turn conversations, guardrails, and jailbreak detection.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:33 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Shieldstral 1.0: Mistral AI’s Open-Weight Safety Classifier</title>
<link>https://llms.ninja/mistral-ai/models/shieldstral-1-0</link>
<description><![CDATA[Learn how Shieldstral 1.0 classifies text, images, and text-image inputs against natural-language policies for self-hosted moderation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:29 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Mistral Embed: 1024-Dimensional Embeddings for Search and RAG</title>
<link>https://llms.ninja/mistral-ai/models/mistral-embed</link>
<description><![CDATA[Mistral Embed converts text into 1024-dimensional vectors for semantic search, RAG, clustering, classification and duplicate detection through Mistral's Embeddings API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:17 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Codestral Embed: Code Embeddings for Semantic Retrieval</title>
<link>https://llms.ninja/mistral-ai/models/codestral-embed</link>
<description><![CDATA[Codestral Embed is Mistral AI’s code-specialized embedding model for semantic code search, repository retrieval, coding-agent RAG, and code analytics.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:13 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Codestral 25.08: Mistral AI’s Fast Coding Model for IDE Workflows</title>
<link>https://llms.ninja/mistral-ai/models/codestral-25-08</link>
<description><![CDATA[Learn how Codestral 25.08 supports fast code completion, FIM generation, editing, function calling and batch workflows, with 128K context and API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:09 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Voxtral Small: Open-Weight Audio Understanding Model</title>
<link>https://llms.ninja/mistral-ai/models/voxtral-small</link>
<description><![CDATA[Voxtral Small is Mistral AI's 24B Apache 2.0 audio-language model for transcription, audio Q&A, summarization, translation, and function calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:40:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:40:04 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Voxtral Mini Transcribe Realtime: Live Speech-to-Text</title>
<link>https://llms.ninja/mistral-ai/models/voxtral-mini-transcribe-realtime</link>
<description><![CDATA[Voxtral Mini Transcribe Realtime is Mistral AI's WebSocket speech-to-text model for streaming audio, live captions, voice interfaces and realtime notes.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:39:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:39:54 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Voxtral Mini Transcribe 2: Batch Transcription Pricing and Features</title>
<link>https://llms.ninja/mistral-ai/models/voxtral-mini-transcribe-2</link>
<description><![CDATA[Voxtral Mini Transcribe 2 is Mistral AI’s batch speech-to-text model with 13 languages, three-hour recordings, diarization, timestamps, and $0.003-per-minute pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:39:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:39:50 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Voxtral TTS: Multilingual Voice Generation and Cloning</title>
<link>https://llms.ninja/mistral-ai/models/voxtral-tts</link>
<description><![CDATA[Voxtral TTS is Mistral AI’s 4B multilingual text-to-speech model with voice adaptation, cross-lingual transfer, streaming, nine languages, and character-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:39:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:39:47 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Mistral OCR 3 for Handwriting, Forms, and Complex Tables</title>
<link>https://llms.ninja/mistral-ai/models/mistral-ocr-3</link>
<description><![CDATA[Mistral OCR 3 extracts text, images, handwriting, forms, and complex tables from PDFs and images through the mistral-ocr-2512 API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:39:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:39:09 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>DeepSeek-V3.2-Speciale: Open-Weight High-Compute Reasoning Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-v3-2-speciale</link>
<description><![CDATA[DeepSeek-V3.2-Speciale was an open-weight, high-compute reasoning model for difficult mathematics, coding, science, and evaluation, with a retired temporary API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:38:28 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:38:28 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V3.2: Open-Weight Reasoning and Tool Use</title>
<link>https://llms.ninja/deepseek/models/deepseek-v3-2</link>
<description><![CDATA[DeepSeek-V3.2 is a 671B MIT-licensed reasoning model with 128K context, sparse attention, thinking tool use, function calling, and historical API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:38:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:38:15 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-Math-V2: Self-Verifiable Mathematical Reasoning</title>
<link>https://llms.ninja/deepseek/models/deepseek-math-v2</link>
<description><![CDATA[DeepSeek-Math-V2 is a 685B open-weight model for mathematical proofs, verifier-guided reasoning, and iterative proof refinement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:05:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:24:07 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Mistral OCR 4.0: Structured OCR, Bounding Boxes and Pricing</title>
<link>https://llms.ninja/mistral-ai/models/ocr-4-0</link>
<description><![CDATA[Mistral OCR 4.0 extracts structured content from documents with bounding boxes, block labels, confidence scores and JSON annotations at $4 per 1,000 pages.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:05:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:05:10 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Mistral OCR 4.1: Structured PDF and Image Extraction</title>
<link>https://llms.ninja/mistral-ai/models/mistral-ocr-4-1</link>
<description><![CDATA[Mistral OCR 4.1 extracts text, tables, layout labels, bounding boxes and confidence scores from PDFs and images at page-based API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:05:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:05:06 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Ministral 3 3B: Efficient Open-Weight Vision-Language Model</title>
<link>https://llms.ninja/mistral-ai/models/ministral-3-3b</link>
<description><![CDATA[Explore Ministral 3 3B, Mistral AI’s compact Apache 2.0 vision-language model with a 256k context window, tool use, structured outputs, and low API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:05:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:05:02 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Ministral 3 8B: Efficient Open Model for Edge and Vision Tasks</title>
<link>https://llms.ninja/mistral-ai/models/ministral-3-8b</link>
<description><![CDATA[Ministral 3 8B is Mistral AI's Apache 2.0 open-weight model for efficient local and hosted inference, with image understanding, tool calling, 256k context, and low pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:59 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Ministral 3 14B: Open-Weight Vision-Language Model for Local AI</title>
<link>https://llms.ninja/mistral-ai/models/ministral-3-14b</link>
<description><![CDATA[Ministral 3 14B is Mistral AI’s open-weight vision-language model for local and hosted deployment, with a 256k context window, tool use, and Apache 2.0 licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:54 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Mistral Large 3: Open-Weight Multimodal AI Model</title>
<link>https://llms.ninja/mistral-ai/models/mistral-large-3</link>
<description><![CDATA[Mistral Large 3 is an Apache 2.0 open-weight model with 675B total parameters, 256K context, image understanding, tool use and API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:51 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Mistral Small 4 Review: Open-Weight Multimodal Model and Pricing</title>
<link>https://llms.ninja/mistral-ai/models/mistral-small-4</link>
<description><![CDATA[Mistral Small 4 is an open-weight multimodal model with a 256K context window, configurable reasoning, coding and tool support, and low API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:45 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>Mistral Medium 3.5: Open-Weight Model for Agentic Coding</title>
<link>https://llms.ninja/mistral-ai/models/mistral-medium-3-5</link>
<description><![CDATA[Explore Mistral Medium 3.5's 256K context, 128B parameters, coding and reasoning capabilities, image input, tool use, pricing, deployment options and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:38 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:38 GMT</lastmod>
<category><![CDATA[mistral-ai/models]]></category>
</item>
<item>
<title>DeepSeek-LLM 7B: Open-Weight Bilingual Model for Local Inference</title>
<link>https://llms.ninja/deepseek/models/deepseek-llm-7b</link>
<description><![CDATA[DeepSeek-LLM 7B is a 7-billion-parameter English and Chinese model with Base and Chat variants, a 4,096-token context, and downloadable weights.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:24 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:24 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-LLM 67B: Open-Weight Bilingual Model for Local Use</title>
<link>https://llms.ninja/deepseek/models/deepseek-llm-67b</link>
<description><![CDATA[DeepSeek-LLM 67B is a 67-billion-parameter open-weight English-Chinese model with base and chat checkpoints, a 4,096-token context, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:21 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:21 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V2-Lite: Efficient Open-Weight Model for Local Inference</title>
<link>https://llms.ninja/deepseek/models/deepseek-v2-lite</link>
<description><![CDATA[DeepSeek-V2-Lite is a 16B open-weight MoE language model with 2.4B active parameters, a 32K context window, and support for self-hosted inference and fine-tuning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:16 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V2: Open-Weight MoE Model for Long-Context Text and Code</title>
<link>https://llms.ninja/deepseek/models/deepseek-v2</link>
<description><![CDATA[DeepSeek-V2 is a 236B-parameter open-weight MoE model with about 21B active parameters, MLA attention, a 128K context, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:12 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:12 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-Coder-V2: Open-Weight Coding Model for Large Codebases</title>
<link>https://llms.ninja/deepseek/models/deepseek-coder-v2</link>
<description><![CDATA[DeepSeek-Coder-V2 is an open-weight MoE coding-model series with Lite and 236B variants, 128K context, 338 programming languages, and self-hosted deployment options.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:06 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-OCR: Open-Weight OCR and Document Understanding Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-ocr</link>
<description><![CDATA[DeepSeek-OCR is a MIT-licensed 3B vision-language model for OCR, document parsing, Markdown conversion, layout grounding, and local inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:04:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:04:03 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-R1-Zero: Open-Weight Reinforcement-Learning Reasoning Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-r1-zero</link>
<description><![CDATA[DeepSeek-R1-Zero is a 671B open-weight reasoning model trained directly with reinforcement learning. Learn about its architecture, limits, deployment, pricing, and use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:03:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:03:59 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-R1 Open-Weight Reasoning Model for Math and Coding</title>
<link>https://llms.ninja/deepseek/models/deepseek-r1</link>
<description><![CDATA[DeepSeek-R1 is a 671B open-weight reasoning model for mathematics, coding, and technical analysis, with a 128K context window and MIT license.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:03:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:03:55 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V3 Open-Weight Model: Architecture, Uses and Status</title>
<link>https://llms.ninja/deepseek/models/deepseek-v3</link>
<description><![CDATA[DeepSeek-V3 is a 671B-parameter open-weight MoE model for text, coding and long-context tasks, with historical low-cost API pricing and no native multimodal support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:03:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:03:51 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V3.1-Terminus: Open-Weight Reasoning and Coding Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-v3-1-terminus</link>
<description><![CDATA[DeepSeek-V3.1-Terminus is an MIT-licensed open-weight model with 128K context, thinking and non-thinking modes, and improved coding and agent performance.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:03:46 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:03:46 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V3.1: Open-Weight Hybrid Reasoning for Coding and Agents</title>
<link>https://llms.ninja/deepseek/models/deepseek-v3-1</link>
<description><![CDATA[DeepSeek-V3.1 is a 671B-parameter open-weight model with thinking and non-thinking modes, 128K context, tool use, and coding-focused agent capabilities.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:03:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:03:42 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Qwen2.5-72B-Instruct: Open-Weight Long-Context Language Model</title>
<link>https://llms.ninja/qwen/models/qwen2-5-72b-instruct</link>
<description><![CDATA[Qwen2.5-72B-Instruct is Alibaba Cloud's 72.7B open-weight text model for multilingual work, coding, mathematics, structured output, and long-context deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:01:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:01:22 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>DeepSeek-OCR 2: Open-Weight OCR and Document Understanding</title>
<link>https://llms.ninja/deepseek/models/deepseek-ocr-2</link>
<description><![CDATA[DeepSeek-OCR 2 is a 3B Apache 2.0 vision-language model for OCR, layout-aware extraction, PDF processing, and document-to-Markdown conversion.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:01:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:01:18 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V4-Flash-Base: Open-Weight 292B MoE Foundation Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-v4-flash-base</link>
<description><![CDATA[DeepSeek-V4-Flash-Base is a downloadable MIT-licensed 292B MoE model with a 1,048,576-token context window for research and custom deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:01:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:01:14 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V4-Pro-Base: 1.6T Open-Weight Foundation Model</title>
<link>https://llms.ninja/deepseek/models/deepseek-v4-pro-base</link>
<description><![CDATA[DeepSeek-V4-Pro-Base is a 1.6T-parameter open-weight MoE foundation model with 49B active parameters and a 1M-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:01:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:01:05 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V4-Flash-Vision-Exp: Vision Model Status and API Details</title>
<link>https://llms.ninja/deepseek/models/deepseek-v4-flash-vision-exp</link>
<description><![CDATA[DeepSeek-V4-Flash-Vision-Exp was an experimental text-and-image model for visual agents and multimodal reasoning. It was retired in 2026 and now routes to V4.1-Flash.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:00:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:00:59 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V4-Flash: Million-Token Model Status and Historical Pricing</title>
<link>https://llms.ninja/deepseek/models/deepseek-v4-flash</link>
<description><![CDATA[DeepSeek-V4-Flash was a fast, economical text model with a 1-million-token context window for reasoning, coding and agents. It was retired in September 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 02:00:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:00:52 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>DeepSeek-V4-Pro: 1M Context, Reasoning and Current API Status</title>
<link>https://llms.ninja/deepseek/models/deepseek-v4-pro</link>
<description><![CDATA[DeepSeek-V4-Pro offers a 1M-token context, advanced reasoning, coding and tool support, but its API identifier is now subject to V4.1-Flash routing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:59:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 08:00:44 GMT</lastmod>
<category><![CDATA[deepseek/models]]></category>
</item>
<item>
<title>Qwen2.5-Omni-7B: Open-Weight Multimodal AI with Speech</title>
<link>https://llms.ninja/qwen/models/qwen2-5-omni-7b</link>
<description><![CDATA[Qwen2.5-Omni-7B is an Apache 2.0 multimodal model that understands text, images, audio, and video and generates text or speech.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:58 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen2.5-VL-7B-Instruct for Local Vision and Document Understanding</title>
<link>https://llms.ninja/qwen/models/qwen2-5-vl-7b-instruct</link>
<description><![CDATA[Learn what Qwen2.5-VL-7B-Instruct supports, including image and video understanding, OCR, visual grounding, 32K context, licensing, deployment and pricing limits.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:54 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen2.5-VL-72B-Instruct for Documents, Images and Video</title>
<link>https://llms.ninja/qwen/models/qwen2-5-vl-72b-instruct</link>
<description><![CDATA[Qwen2.5-VL-72B-Instruct is Alibaba's 72B open-weight vision-language model for OCR, documents, charts, video, visual grounding, and structured output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:50 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen2.5-7B-Instruct: Open-Weight Model for Local Multilingual AI</title>
<link>https://llms.ninja/qwen/models/qwen2-5-7b-instruct</link>
<description><![CDATA[Qwen2.5-7B-Instruct is Alibaba's Apache 2.0 open-weight text model with 7.61B parameters, 128K-class context, 8K generation, coding, multilingual support, and tool calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:47 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen2.5-14B-Instruct: Self-Hosted 14B Model Guide</title>
<link>https://llms.ninja/qwen/models/qwen2-5-14b-instruct</link>
<description><![CDATA[Learn about Qwen2.5-14B-Instruct, an Apache 2.0 open-weight text model with 131K-token context support, multilingual capabilities, structured output, and self-hosted deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:43 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.7-Text-Embedding: Multilingual Vectors and Configurable Dimensions</title>
<link>https://llms.ninja/qwen/models/qwen3-7-text-embedding</link>
<description><![CDATA[Explore Qwen3.7-Text-Embedding's multilingual coverage, 128K-token input limit, configurable vector dimensions, sparse output, batch inference, use cases, limitations, and pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:15 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Image-Edit-Plus for Multi-Image Editing and Fusion</title>
<link>https://llms.ninja/qwen/models/qwen-image-edit-plus</link>
<description><![CDATA[Qwen-Image-Edit-Plus edits and combines reference images, supports up to six PNG outputs at 2048×2048, and charges per generated image.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:11 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Image-Edit-Max: Multi-Image Editing and Pricing</title>
<link>https://llms.ninja/qwen/models/qwen-image-edit-max</link>
<description><![CDATA[Qwen-Image-Edit-Max is Alibaba Cloud’s high-end image editor for multi-image composition, geometric changes, character consistency, and outputs up to 2048 pixels.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:07 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Image-Plus: Low-Cost Text-to-Image Generation</title>
<link>https://llms.ninja/qwen/models/qwen-image-plus</link>
<description><![CDATA[Qwen-Image-Plus generates one Chinese or English prompt-based image per request, with strong typography support, fixed resolutions, and $0.03 international pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:03 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:58:03 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Image-Max: Realistic Text-to-Image Model and Pricing</title>
<link>https://llms.ninja/qwen/models/qwen-image-max</link>
<description><![CDATA[Qwen-Image-Max generates one realistic PNG image per text prompt at up to 1664×928, with regional per-image pricing and no image-editing support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:58:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:59 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Image-2.0: Fast Image Generation and Editing</title>
<link>https://llms.ninja/qwen/models/qwen-image-2-0</link>
<description><![CDATA[Qwen-Image-2.0 is Alibaba Cloud’s accelerated image model for generation and editing, with text rendering, six-image output, and 2048×2048 support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:56 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Image-2.0-Pro for Professional Image Generation and Editing</title>
<link>https://llms.ninja/qwen/models/qwen-image-2-0-pro</link>
<description><![CDATA[Explore Qwen-Image-2.0-Pro for text-to-image generation, image editing, multilingual in-image text, realistic rendering, pricing, limits, and API support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:51 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen Image 3.0: Fast AI Image Generation and Editing</title>
<link>https://llms.ninja/qwen/models/qwen-image-3-0</link>
<description><![CDATA[Qwen Image 3.0 is Alibaba Cloud's standard image model for text-to-image generation and editing, with up to six 2048×2048 PNG outputs per request.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:47 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen Image 3.0 Pro for Complex Layouts and Image Editing</title>
<link>https://llms.ninja/qwen/models/qwen-image-3-0-pro</link>
<description><![CDATA[Learn how Qwen Image 3.0 Pro handles text-to-image generation, reference-image editing, multilingual typography, complex layouts, output limits, and Singapore pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:44 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Audio-3.0-TTS-Plus: Expressive TTS and Voice Cloning</title>
<link>https://llms.ninja/qwen/models/qwen-audio-3-0-tts-plus</link>
<description><![CDATA[Qwen-Audio-3.0-TTS-Plus is Alibaba Cloud's expressive TTS model with multilingual and dialect support, voice cloning, WebSocket streaming, and character-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:25 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-LiveTranslate-Flash for Audio and Video Translation</title>
<link>https://llms.ninja/qwen/models/qwen3-livetranslate-flash</link>
<description><![CDATA[Qwen3-LiveTranslate-Flash translates audio and video into streaming text or synthesized speech across 18 languages through Alibaba Cloud Model Studio.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:18 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-Omni-Plus-Realtime: Real-Time Voice AI</title>
<link>https://llms.ninja/qwen/models/qwen3-5-omni-plus-realtime</link>
<description><![CDATA[Qwen3.5-Omni-Plus-Realtime is Alibaba Cloud's real-time multimodal model for audio, video, image, and text input with speech and text output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:11 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-Omni-Plus: Multimodal Speech and Video AI</title>
<link>https://llms.ninja/qwen/models/qwen3-5-omni-plus</link>
<description><![CDATA[Qwen3.5-Omni-Plus understands text, images, audio and video, then produces text or speech. See its limits, pricing, tools, strengths and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:06 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.8-Omni-Flash for Long-Form Audio and Video Understanding</title>
<link>https://llms.ninja/qwen/models/qwen3-8-omni-flash</link>
<description><![CDATA[Qwen3.8-Omni-Flash analyzes text, images, audio, and video with a 1M-token context window, adjustable reasoning, tool use, web search, and caching.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:57:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:57:00 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-30B-A3B: Open-Weight MoE Reasoning Model</title>
<link>https://llms.ninja/qwen/models/qwen3-30b-a3b</link>
<description><![CDATA[Qwen3-30B-A3B is an Apache 2.0 open-weight MoE model with 30.5B total parameters, hybrid reasoning, a 131K context window, coding, and tool support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:56:46 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:56:46 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-Max Review: Reasoning, Context, Pricing and Tool Support</title>
<link>https://llms.ninja/qwen/models/qwen3-max</link>
<description><![CDATA[Qwen3-Max is Alibaba Cloud Model Studio’s flagship text reasoning model with a 262K context window, thinking modes, tools, web search, and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:56:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:56:39 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.8-Max: Alibaba Cloud’s Million-Token Coding Model</title>
<link>https://llms.ninja/qwen/models/qwen3-8-max</link>
<description><![CDATA[Qwen3.8-Max is Alibaba Cloud’s flagship multimodal model for million-token context, complex coding, visual reasoning, tool use, and long-horizon agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:55:02 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.8-Flash: Fast Multimodal Model with 1M-Token Context</title>
<link>https://llms.ninja/qwen/models/qwen3-8-flash</link>
<description><![CDATA[Qwen3.8-Flash is Alibaba Cloud's fast multimodal model for long-context reasoning, coding, image and video understanding, tool use, and low-cost inference.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:54:58 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.8-27B: Open-Weight Multimodal Coding Model</title>
<link>https://llms.ninja/qwen/models/qwen3-8-27b</link>
<description><![CDATA[Qwen3.8-27B is Alibaba's Apache 2.0 multimodal model for coding, visual understanding, long-context research, reasoning, and tool-using agents.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:54:54 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Audio-3.0-Realtime-Flash: Real-Time Voice Model</title>
<link>https://llms.ninja/qwen/models/qwen-audio-3-0-realtime-flash</link>
<description><![CDATA[Qwen-Audio-3.0-Realtime-Flash is Alibaba Cloud's low-latency speech-to-speech model with streaming audio, function calling, web search and voice customization.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:54:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:54:14 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Audio 3.0 Realtime Plus for Real-Time Voice AI</title>
<link>https://llms.ninja/qwen/models/qwen-audio-3-0-realtime-plus</link>
<description><![CDATA[Qwen-Audio 3.0 Realtime Plus is Alibaba Cloud’s duplex speech model for streamed audio conversations, with text and audio I/O, tools, multilingual support, and WebSocket, WebRTC, and AOQ access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:54:09 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:54:09 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen-Audio 3.1 Realtime Plus for Real-Time Voice AI</title>
<link>https://llms.ninja/qwen/models/qwen-audio-3-1-realtime-plus</link>
<description><![CDATA[Qwen-Audio 3.1 Realtime Plus is Alibaba Cloud's duplex speech model for streaming voice conversations with text and audio input/output, tools, web search, and voice cloning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:54:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:54:06 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-LiveTranslate-Flash-Realtime for Live Speech Translation</title>
<link>https://llms.ninja/qwen/models/qwen3-livetranslate-flash-realtime</link>
<description><![CDATA[Qwen3-LiveTranslate-Flash-Realtime is Alibaba Cloud's legacy WebSocket model for streaming audio translation with optional image context, translated text, and synthesized speech.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:54:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:54:02 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.8-LiveTranslate-Flash-Realtime for Live Translation</title>
<link>https://llms.ninja/qwen/models/qwen3-8-livetranslate-flash-realtime</link>
<description><![CDATA[Qwen3.8-LiveTranslate-Flash-Realtime translates streaming audio and image input into text or speech across 60 languages through Alibaba Cloud's WebSocket API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:58 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-Omni-Flash-Realtime for Real-Time Multimodal Voice AI</title>
<link>https://llms.ninja/qwen/models/qwen3-5-omni-flash-realtime</link>
<description><![CDATA[Qwen3.5-Omni-Flash-Realtime is Alibaba Cloud's WebSocket model for streaming text, audio, images, and video with text or speech output.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:53 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-Omni-Flash for Long Audio and Multimodal Understanding</title>
<link>https://llms.ninja/qwen/models/qwen3-5-omni-flash</link>
<description><![CDATA[Qwen3.5-Omni-Flash handles text, images, video and audio, with speech output, long-audio analysis, a 262K context window and regional tool support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:49 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.8-Omni-Flash-Realtime for Real-Time Voice and Video</title>
<link>https://llms.ninja/qwen/models/qwen3-8-omni-flash-realtime</link>
<description><![CDATA[Qwen3.8-Omni-Flash-Realtime is Alibaba Cloud's real-time model for streaming audio, video understanding, spoken responses, tool calling and interactive voice applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:44 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:44 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-VL-2B-Instruct: Compact Open-Weight Vision-Language Model</title>
<link>https://llms.ninja/qwen/models/qwen3-vl-2b-instruct</link>
<description><![CDATA[Evaluate Qwen3-VL-2B-Instruct, a compact Apache 2.0 model for local image, video, OCR, document, and visual question-answering workloads.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:40 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-VL-4B-Instruct: Compact Open-Weight Vision Model</title>
<link>https://llms.ninja/qwen/models/qwen3-vl-4b-instruct</link>
<description><![CDATA[Qwen3-VL-4B-Instruct is a 4B open-weight model for text, image, and video understanding, OCR, visual coding, and local multimodal deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:34 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:34 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-VL-8B-Instruct: Open-Weight Image and Video Understanding</title>
<link>https://llms.ninja/qwen/models/qwen3-vl-8b-instruct</link>
<description><![CDATA[Qwen3-VL-8B-Instruct is Alibaba's Apache-2.0 8B vision-language model for image and video understanding, OCR, documents, spatial reasoning, structured output, and local deployment.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:30 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:30 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-VL-30B-A3B-Instruct: Open-Weight Vision-Language Model</title>
<link>https://llms.ninja/qwen/models/qwen3-vl-30b-a3b-instruct</link>
<description><![CDATA[Understand Qwen3-VL-30B-A3B-Instruct's multimodal inputs, 256K context, OCR, visual reasoning, API pricing, deployment options, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:25 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-VL-32B-Instruct for Document and Visual Reasoning</title>
<link>https://llms.ninja/qwen/models/qwen3-vl-32b-instruct</link>
<description><![CDATA[Qwen3-VL-32B-Instruct is Alibaba's 32B vision-language model for document analysis, OCR, image and video understanding, spatial reasoning and visual-agent workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:22 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-VL-235B-A22B-Instruct for Visual Reasoning and OCR</title>
<link>https://llms.ninja/qwen/models/qwen3-vl-235b-a22b-instruct</link>
<description><![CDATA[Qwen3-VL-235B-A22B-Instruct is Alibaba Cloud's open-weight vision-language model for text, image and video understanding, OCR, visual coding and long-context analysis.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:17 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-0.6B: Small Open-Weight Model for Local Inference</title>
<link>https://llms.ninja/qwen/models/qwen3-0-6b</link>
<description><![CDATA[Qwen3-0.6B is a compact Apache 2.0 model with 32K context, switchable reasoning modes, multilingual text generation, and broad local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:13 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-1.7B: Fast Open-Weight Model for Local Reasoning</title>
<link>https://llms.ninja/qwen/models/qwen3-1-7b</link>
<description><![CDATA[Qwen3-1.7B is a compact Apache 2.0 model with hybrid reasoning, 32K context, text-only generation, coding, tool calling, and local deployment support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:08 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:08 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-8B: Open-Weight Reasoning Model for Local and API Use</title>
<link>https://llms.ninja/qwen/models/qwen3-8b</link>
<description><![CDATA[Qwen3-8B is an 8.2B-parameter Apache 2.0 model with switchable reasoning, coding, tool use, structured outputs, and up to 131K context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:04 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-14B: Open-Weight Reasoning and Coding Model</title>
<link>https://llms.ninja/qwen/models/qwen3-14b</link>
<description><![CDATA[Learn how Qwen3-14B balances reasoning, coding, speed and cost with local deployment, text-only capabilities, context limits and Alibaba Cloud pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:53:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:53:00 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-32B: Open-Weight Reasoning and Coding Model</title>
<link>https://llms.ninja/qwen/models/qwen3-32b</link>
<description><![CDATA[Qwen3-32B is Alibaba's 32.8B-parameter open-weight model with switchable reasoning, coding, tool calling, hosted 256K context, and Apache 2.0 licensing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:55 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-235B-A22B: Open-Weight MoE Reasoning and Coding Model</title>
<link>https://llms.ninja/qwen/models/qwen3-235b-a22b</link>
<description><![CDATA[Explore Qwen3-235B-A22B, Alibaba Cloud’s 235B-total-parameter open-weight MoE model with hybrid thinking, 131K context, coding, tools and regional pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:50 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-Coder-Next: Open-Weight Model for Agentic Coding</title>
<link>https://llms.ninja/qwen/models/qwen3-coder-next</link>
<description><![CDATA[Qwen3-Coder-Next is Alibaba's 80B open-weight coding model with approximately 3B active parameters, 262K context, repository-level coding support, and regional token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:45 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3-Coder-Plus: One-Million-Token Coding Model</title>
<link>https://llms.ninja/qwen/models/qwen3-coder-plus</link>
<description><![CDATA[Evaluate Qwen3-Coder-Plus, Alibaba Cloud’s text-only coding model with a one-million-token context, tiered pricing, caching, and regional function calling.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:41 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-397B-A17B: Open-Weight Multimodal Model</title>
<link>https://llms.ninja/qwen/models/qwen3-5-397b-a17b</link>
<description><![CDATA[Qwen3.5-397B-A17B is Alibaba's 397B-parameter open-weight multimodal MoE model for image and video understanding, reasoning, coding, tool use, and long-context workloads.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:35 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-122B-A10B: Sparse MoE Model for Visual Reasoning</title>
<link>https://llms.ninja/qwen/models/qwen3-5-122b-a10b</link>
<description><![CDATA[Qwen3.5-122B-A10B is Alibaba’s 122B-parameter sparse MoE model for text, image, and video understanding, with long context, reasoning, tools, and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:31 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:31 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-35B-A3B: Open-Weight Multimodal MoE Model</title>
<link>https://llms.ninja/qwen/models/qwen3-5-35b-a3b</link>
<description><![CDATA[Qwen3.5-35B-A3B is Alibaba's open-weight 35B multimodal MoE model with 3B active parameters, 262K context, tool calling, and hosted API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:26 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:26 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-27B: Open-Weight Multimodal Model with 262K Context</title>
<link>https://llms.ninja/qwen/models/qwen3-5-27b</link>
<description><![CDATA[Qwen3.5-27B is Alibaba's text-output multimodal model for text, image, and video understanding, with open weights, tool support, and a 262K checkpoint context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:10 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-Flash: Fast Multimodal Analysis with a 1M-Token Context</title>
<link>https://llms.ninja/qwen/models/qwen3-5-flash</link>
<description><![CDATA[Qwen3.5-Flash is Alibaba Cloud's fast text-output model for text, image, and video understanding, with a 1M-token context, tool use, structured outputs, and tiered pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:06 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.5-Plus: Long-Context Multimodal Reasoning Model</title>
<link>https://llms.ninja/qwen/models/qwen3-5-plus</link>
<description><![CDATA[Explore Qwen3.5-Plus from Alibaba Cloud: multimodal text, image and video input, 1M-token context, pricing, tools, limits and best use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:52:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:52:01 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.6-35B-A3B: Open-Weight Multimodal Coding Model</title>
<link>https://llms.ninja/qwen/models/qwen3-6-35b-a3b</link>
<description><![CDATA[Explore Qwen3.6-35B-A3B, Alibaba's open-weight 35B MoE model with 3B active parameters, 262K context, image and video input, coding, reasoning, and hosted API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:51:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:51:56 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.6-27B: Open-Weight Model for Coding Agents and Vision</title>
<link>https://llms.ninja/qwen/models/qwen3-6-27b</link>
<description><![CDATA[Learn how Qwen3.6-27B handles coding, images, video, long context, tool use, pricing, deployment, and its key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:51:46 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:51:46 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.6-Flash: Fast Multimodal Reasoning with a 1M-Token Context</title>
<link>https://llms.ninja/qwen/models/qwen3-6-flash</link>
<description><![CDATA[Qwen3.6-Flash is Alibaba Cloud’s fast vision-language model for text, image, and video input, reasoning, coding, tools, structured output, and 1M-token contexts.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:36:33 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:51:38 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.6-Plus: Long-Context Multimodal Reasoning and Coding</title>
<link>https://llms.ninja/qwen/models/qwen3-6-plus</link>
<description><![CDATA[Qwen3.6-Plus supports text, image, and video input, a 1M-token context, agentic coding, OCR, tools, and structured outputs through Alibaba Cloud Model Studio.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:36:30 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:51:26 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.7-Flash: Fast Multimodal AI for Long-Context Agents</title>
<link>https://llms.ninja/qwen/models/qwen3-7-flash</link>
<description><![CDATA[Qwen3.7-Flash is Alibaba Cloud’s fast multimodal model for text, image and video understanding, tool use, coding, and up to 1 million tokens of context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:36:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:51:11 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Qwen3.7-Plus: 1M-Token Multimodal Reasoning Model</title>
<link>https://llms.ninja/qwen/models/qwen3-7-plus</link>
<description><![CDATA[Qwen3.7-Plus is Alibaba Cloud’s text-output model for 1M-token context, image and video understanding, reasoning, coding, tools, and structured workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:36:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:50:39 GMT</lastmod>
<category><![CDATA[qwen/models]]></category>
</item>
<item>
<title>Grok 4.20 Multi-Agent Beta for Parallel Deep Research</title>
<link>https://llms.ninja/xai/models/grok-4-20-multi-agent-0309</link>
<description><![CDATA[Learn how Grok 4.20 Multi-Agent Beta coordinates parallel research, including its 1M-token context, tools, pricing, limits, inputs, outputs, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:43:06 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok 4.6: xAI’s Long-Context Reasoning Model for Coding</title>
<link>https://llms.ninja/xai/models/grok-4-6</link>
<description><![CDATA[Grok 4.6 is xAI’s text-output reasoning model for coding and agentic workflows, with image input, a 500K context window, tools, and tiered API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:39:34 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok 4.7 for Coding and Agents: Context, Pricing, and Limits</title>
<link>https://llms.ninja/xai/models/grok-4-7</link>
<description><![CDATA[Grok 4.7 is xAI’s reasoning model for coding and agentic workflows, with a 500,000-token context window, image input, configurable reasoning, tools, and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:34:31 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:34:31 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Claude Opus 5.5 for Agentic Coding: Pricing, Limits and Trade-offs</title>
<link>https://llms.ninja/anthropic/models/claude-opus-5-5</link>
<description><![CDATA[Claude Opus 5.5 is Anthropic's Opus model for long-running agentic coding and knowledge work, with a 1M-token context, adaptive thinking, and $4/$20 per-million-token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:39 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Fable 5.1 for Long-Running Reasoning and Agentic Coding</title>
<link>https://llms.ninja/anthropic/models/claude-fable-5-1</link>
<description><![CDATA[Claude Fable 5.1 is Anthropic’s active frontier model for complex reasoning, agentic coding, research, and long-context work. See its limits, pricing, tools, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:35 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Sonnet 4.5: Anthropic’s Coding and Agent Model</title>
<link>https://llms.ninja/anthropic/models/claude-sonnet-4-5</link>
<description><![CDATA[Learn what Claude Sonnet 4.5 does, including coding, agents, vision, tool use, context limits, pricing, structured outputs, and legacy status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:32 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Sonnet 4.6 for Coding, Agents, and Long-Context Work</title>
<link>https://llms.ninja/anthropic/models/claude-sonnet-4-6</link>
<description><![CDATA[Learn what Claude Sonnet 4.6 supports, including its 1M-token context, coding and reasoning capabilities, pricing, tools, modalities, limits, and legacy status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:29 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Sonnet 5: Anthropic’s Fast Model for Coding and AI Agents</title>
<link>https://llms.ninja/anthropic/models/claude-sonnet-5</link>
<description><![CDATA[Claude Sonnet 5 is Anthropic’s agent-focused model with a 1M-token context window, adaptive thinking, tool use, and $2/$10 per-million-token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:26 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:26 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Opus 4.5 for Complex Coding, Agents, and Enterprise Analysis</title>
<link>https://llms.ninja/anthropic/models/claude-opus-4-5</link>
<description><![CDATA[Claude Opus 4.5 is Anthropic’s high-capability model for complex coding, agents, research, and enterprise analysis, with a 200K context and 64K output limit.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:22 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Opus 4.6 for Complex Reasoning and Long-Context Coding</title>
<link>https://llms.ninja/anthropic/models/claude-opus-4-6</link>
<description><![CDATA[Evaluate Claude Opus 4.6 for coding, reasoning, agents, and long-context analysis, with pricing, limits, modalities, tools, and legacy-status details.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:19 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Grok Voice Transcribe 1.0: xAI Speech-to-Text Model</title>
<link>https://llms.ninja/xai/models/grok-voice-transcribe-1-0</link>
<description><![CDATA[Grok Voice Transcribe 1.0 converts recorded and live audio into text through REST or WebSocket APIs, with multilingual support, timestamps, diarization, and usage-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:06 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok 4.7 Fast: Low-Latency Coding and Agentic Workflows</title>
<link>https://llms.ninja/xai/models/grok-4-7-fast</link>
<description><![CDATA[Grok 4.7 Fast is xAI's faster-serving Grok 4.7 variant for Cursor and Grok Build, with the same model capabilities and twice-standard pricing where applicable.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:33:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:33:02 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok Imagine Video 1.5: 1080p Video and Generated Audio</title>
<link>https://llms.ninja/xai/models/grok-imagine-video-1-5</link>
<description><![CDATA[Grok Imagine Video 1.5 creates short videos from text, images, and references, with up to 1080p output, generated audio, preset voices, and per-second API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:32:59 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok Imagine Image 2.0: Multi-Reference Image Generation and Editing</title>
<link>https://llms.ninja/xai/models/grok-imagine-image-2-0</link>
<description><![CDATA[Grok Imagine Image 2.0 generates and edits images from text and up to five reference images, with 1K-2K outputs and per-image API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:32:56 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok 4.20-0309-reasoning: 1M-Token Reasoning Model</title>
<link>https://llms.ninja/xai/models/grok-4-20-0309-reasoning</link>
<description><![CDATA[Grok 4.20-0309-reasoning is xAI’s long-context model for complex reasoning, coding, image understanding and tool-enabled workflows, with 1M-token context.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:53 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:32:53 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok 4.3: One-Million-Token Context and API Pricing</title>
<link>https://llms.ninja/xai/models/grok-4-3</link>
<description><![CDATA[Grok 4.3 is xAI’s text-output reasoning model with a one-million-token context window, image input, configurable reasoning, tools and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:48 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:32:48 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok 4.5 for Coding and Agentic Workflows</title>
<link>https://llms.ninja/xai/models/grok-4-5</link>
<description><![CDATA[Grok 4.5 is xAI’s reasoning model for coding and agentic workflows, with text and image input, a 500K-token context window, tool use, structured outputs, and token-based pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:40 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:32:40 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>Grok Build 0.1: Fast Agentic Coding Model for MCP Workflows</title>
<link>https://llms.ninja/xai/models/grok-build-0-1</link>
<description><![CDATA[Grok Build 0.1 is SpaceXAI's fast coding model for agentic development, with 256K context, image input, tool calling, structured outputs and low API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 01:32:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 07:32:35 GMT</lastmod>
<category><![CDATA[xai/models]]></category>
</item>
<item>
<title>GPT-4o Mini Audio: Deprecated OpenAI Voice Model and Pricing</title>
<link>https://llms.ninja/openai/models/gpt-4o-mini-audio</link>
<description><![CDATA[GPT-4o Mini Audio supported text and audio input/output, streaming, and function calling. See its limits, preview pricing, deprecated status, and 2027 API shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:59:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:59:19 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Claude Opus 4.7: Complex Coding, Reasoning and 1M Context</title>
<link>https://llms.ninja/anthropic/models/claude-opus-4-7</link>
<description><![CDATA[Claude Opus 4.7 is Anthropic’s premium reasoning model for complex coding, research, image analysis and agent workflows, with a 1M-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:58:56 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Opus 4.8 for Long-Horizon Reasoning and Agentic Coding</title>
<link>https://llms.ninja/anthropic/models/claude-opus-4-8</link>
<description><![CDATA[Claude Opus 4.8 model guide covering its 1M-token context, 128K output limit, reasoning, coding, tools, modalities, pricing, limitations, and legacy status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:58:55 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Opus 5 for Long-Context Coding and Agentic Work</title>
<link>https://llms.ninja/anthropic/models/claude-opus-5</link>
<description><![CDATA[Claude Opus 5 supports long-context reasoning, agentic coding, image input, tools, structured outputs, and batch processing, but is now an active legacy model.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:58:51 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Mythos 5: Invite-Only AI for Cybersecurity and Biology Research</title>
<link>https://llms.ninja/anthropic/models/claude-mythos-5</link>
<description><![CDATA[Claude Mythos 5 is Anthropic’s invite-only research model with a 1M-token context window, 128K output limit, adaptive reasoning, image input, and $10/$50 per-million-token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:58:47 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>Claude Fable 5 for Long-Running Reasoning and Agents</title>
<link>https://llms.ninja/anthropic/models/claude-fable-5</link>
<description><![CDATA[Claude Fable 5 explained: Anthropic’s frontier model for advanced coding, agentic work, research, pricing, context limits, tools, modalities, and trade-offs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:42 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:58:42 GMT</lastmod>
<category><![CDATA[anthropic/models]]></category>
</item>
<item>
<title>GPT-OSS-Safeguard 20B: Open-Weight Safety Reasoning Model</title>
<link>https://llms.ninja/openai/models/gpt-oss-safeguard-20b</link>
<description><![CDATA[GPT-OSS-Safeguard 20B is OpenAI's open-weight text safety model for policy-based classification, moderation, and self-hosted trust and safety workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:38 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:58:38 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>gpt-oss-safeguard-120b: Open-Weight Safety Reasoning Model</title>
<link>https://llms.ninja/openai/models/gpt-oss-safeguard-120b</link>
<description><![CDATA[Learn how OpenAI's gpt-oss-safeguard-120b applies custom safety policies to messages, model outputs, and conversations for moderation and trust and safety workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:58:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:58:36 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.1 Chat: OpenAI’s Retired ChatGPT-Optimized API Model</title>
<link>https://llms.ninja/openai/models/gpt-5-1-chat</link>
<description><![CDATA[GPT-5.1 Chat was OpenAI’s chat-focused API model with image input, structured outputs, streaming, a 128K context window, and a July 2026 API shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:58 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:58 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4 Turbo Preview: 128K Context, Pricing, and Retirement</title>
<link>https://llms.ninja/openai/models/gpt-4-turbo-preview</link>
<description><![CDATA[GPT-4 Turbo Preview was OpenAI’s text model with a 128K context window and historical $10/$30 per-million-token pricing. It shut down March 26, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:55 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4: OpenAI’s Legacy Model for Text, Reasoning and Coding</title>
<link>https://llms.ninja/openai/models/gpt-4</link>
<description><![CDATA[GPT-4 is OpenAI’s 2023 language model for text, reasoning, coding and supported image input, with an 8K context window and legacy API status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:52 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:52 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-3.5 Turbo: Affordable Text-Only API Model</title>
<link>https://llms.ninja/openai/models/gpt-3-5-turbo</link>
<description><![CDATA[GPT-3.5 Turbo is OpenAI's deprecated text-only API model with a 16,385-token context window, 4,096-token output limit, and low per-token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:50 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>davinci-002: OpenAI’s Legacy GPT-3 Completion Model</title>
<link>https://llms.ninja/openai/models/davinci-002</link>
<description><![CDATA[Learn what OpenAI davinci-002 does, its $2 per million token pricing, 16,384-token output limit, legacy API features, deprecation, and 2026 shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:47 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>codex-mini-latest: OpenAI’s Fast Codex CLI Coding Model</title>
<link>https://llms.ninja/openai/models/codex-mini-latest</link>
<description><![CDATA[Learn what OpenAI’s retired codex-mini-latest model did, including its Codex CLI focus, 200K context, pricing, tools, modalities, limitations, and shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:43 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5-Codex: OpenAI’s Agentic Coding Model and Retirement</title>
<link>https://llms.ninja/openai/models/gpt-5-codex</link>
<description><![CDATA[GPT-5-Codex was OpenAI’s agentic coding model for repository work, debugging and Codex workflows. See its limits, modalities, pricing and retirement status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:38 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:38 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.1-Codex Mini: Fast, Low-Cost Agentic Coding Model</title>
<link>https://llms.ninja/openai/models/gpt-5-1-codex-mini</link>
<description><![CDATA[Learn about GPT-5.1-Codex Mini’s coding focus, 400K context, pricing, tools, modalities, trade-offs, and retired API status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:30 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:30 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.1-Codex: OpenAI’s Retired Agentic Coding Model</title>
<link>https://llms.ninja/openai/models/gpt-5-1-codex</link>
<description><![CDATA[GPT-5.1-Codex was OpenAI’s agentic coding model with a 400K context window, image input, tool use and structured outputs. API access ended July 23, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:27 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>babbage-002: OpenAI’s Legacy GPT-3 Completion Model</title>
<link>https://llms.ninja/openai/models/babbage-002</link>
<description><![CDATA[Learn what OpenAI babbage-002 supports, including its GPT-3 base-model design, text-only operation, pricing, legacy Completions API, limitations, and 2026 shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:24 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:24 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4 Turbo: The Legacy 128K-Context Vision Model</title>
<link>https://llms.ninja/openai/models/gpt-4-turbo</link>
<description><![CDATA[GPT-4 Turbo accepts text and images, supports a 128K context window, function calling, streaming, and JSON mode, but is deprecated and scheduled to shut down in 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:22 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Realtime: OpenAI’s Retired Speech-to-Speech Model</title>
<link>https://llms.ninja/openai/models/gpt-4o-realtime</link>
<description><![CDATA[GPT-4o Realtime was OpenAI’s preview model for low-latency text-and-audio conversations. Review its features, limits, pricing, use cases, and retirement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:18 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:18 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Mini Realtime: Low-Cost Voice Model and API Retirement</title>
<link>https://llms.ninja/openai/models/gpt-4o-mini-realtime</link>
<description><![CDATA[GPT-4o Mini Realtime supports low-cost realtime text and audio conversations, function calling, WebRTC, and WebSocket access. It is deprecated and scheduled for removal on January 20, 2027.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:17 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:16 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Audio: OpenAI’s Retired Audio Conversation Model</title>
<link>https://llms.ninja/openai/models/gpt-4o-audio</link>
<description><![CDATA[GPT-4o Audio was OpenAI’s preview model for audio input and output, streaming, and function calling. Review its limits, historical pricing, use cases, and retirement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:10 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI o1: Reasoning Model for Complex Multi-Step Work</title>
<link>https://llms.ninja/openai/models/o1</link>
<description><![CDATA[OpenAI o1 is a deprecated reasoning model with text and image input, a 200K-token context window, 100K-token output limit, and $15/$60 per-million-token API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:07 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI o3-mini for Coding and STEM: Pricing, Limits and Capabilities</title>
<link>https://llms.ninja/openai/models/o3-mini</link>
<description><![CDATA[OpenAI o3-mini is a text-only reasoning model for coding, mathematics, science and structured tasks, with a 200K context window and low-cost API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:04 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Search Preview: OpenAI Web-Search Model and Shutdown</title>
<link>https://llms.ninja/openai/models/gpt-4o-search-preview</link>
<description><![CDATA[GPT-4o Search Preview was OpenAI’s text-only web-search model for Chat Completions. See its 128K context, pricing, limits, capabilities, and retirement status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:57:01 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:57:01 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Mini Search Preview: Low-Cost Web Search Model and Retirement</title>
<link>https://llms.ninja/openai/models/gpt-4o-mini-search-preview</link>
<description><![CDATA[GPT-4o Mini Search Preview was OpenAI’s text-only, low-cost web-search model for Chat Completions. Review its pricing, limits, features, trade-offs, and July 2026 shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:56:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:56:59 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Audio Mini: Low-Cost Audio Model and 2027 API Sunset</title>
<link>https://llms.ninja/openai/models/gpt-audio-mini</link>
<description><![CDATA[GPT-Audio Mini handles text and audio input/output with function calling, a 128K context window, and low text-token pricing, but is deprecated and scheduled for removal on January 20, 2027.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:56:56 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:56:56 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime Mini: Cost-Efficient Voice AI and Shutdown Date</title>
<link>https://llms.ninja/openai/models/gpt-realtime-mini</link>
<description><![CDATA[GPT-Realtime Mini is OpenAI’s lower-cost realtime voice model for text, image, and audio input, with text and audio output, function calling, and a 32K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:56:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:56:54 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>computer-use-preview: OpenAI’s Computer-Use Automation Model</title>
<link>https://llms.ninja/openai/models/computer-use-preview</link>
<description><![CDATA[Explore OpenAI computer-use-preview, a deprecated model for screenshot-based computer actions, browser automation, API limits, pricing, and safety.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:56:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:56:51 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>o1-pro: OpenAI’s High-Compute Reasoning Model for Difficult Tasks</title>
<link>https://llms.ninja/openai/models/o1-pro</link>
<description><![CDATA[Learn what OpenAI o1-pro is, including its reasoning focus, 200K context, 100K output limit, image input, tool support, pricing, trade-offs, and deprecated status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:56:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:56:49 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI o4-mini for Coding and Visual Reasoning</title>
<link>https://llms.ninja/openai/models/o4-mini</link>
<description><![CDATA[OpenAI o4-mini is a fast, cost-efficient reasoning model for coding, mathematics, visual analysis, and tool-using API workflows. See its limits, pricing, capabilities, and shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:56:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:56:45 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Image-1: OpenAI Image Generation and Editing API</title>
<link>https://llms.ninja/openai/models/gpt-image-1</link>
<description><![CDATA[Learn how GPT-Image-1 generates and edits images, including supported inputs, sizes, formats, pricing, limitations, and its October 2026 shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:55:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:55:13 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.2 Chat: ChatGPT-Aligned API Model and Retirement Details</title>
<link>https://llms.ninja/openai/models/gpt-5-2-chat</link>
<description><![CDATA[GPT-5.2 Chat was OpenAI's ChatGPT-aligned API model with image input, tool calling, structured outputs, a 128K context window, and historical token pricing. API access ended August 10, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:55:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:55:10 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>text-moderation-stable: Capabilities, API and Retirement</title>
<link>https://llms.ninja/openai/models/text-moderation-stable</link>
<description><![CDATA[Learn what OpenAI's retired text-moderation-stable model did, how its Moderation API output worked, its limits, pricing, and replacement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:55:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:55:07 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Omni Moderation: OpenAI Model, Features and API Details</title>
<link>https://llms.ninja/openai/models/omni-moderation</link>
<description><![CDATA[Learn about OpenAI’s omni-moderation model, including text and image support, safety categories, free API access, limits, and practical use cases.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:55:02 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:55:02 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>text-embedding-ada-002: Pricing, Dimensions, Uses, and Status</title>
<link>https://llms.ninja/openai/models/text-embedding-ada-002</link>
<description><![CDATA[Learn about OpenAI text-embedding-ada-002, including its 1,536-dimensional vectors, 8,192-token limit, pricing, use cases, limitations, and current API status.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:57 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>text-embedding-3-small: Pricing, Dimensions, Limits and Uses</title>
<link>https://llms.ninja/openai/models/text-embedding-3-small</link>
<description><![CDATA[OpenAI text-embedding-3-small supports semantic search, RAG, clustering and classification with 1,536 default dimensions, an 8,192-token limit and $0.02 per million input tokens.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:55 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:55 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>gpt-oss-20b: Features, Context, Pricing and Deployment</title>
<link>https://llms.ninja/openai/models/gpt-oss-20b</link>
<description><![CDATA[Learn about OpenAI's gpt-oss-20b open-weight reasoning model, including its 128K context, local deployment, tool use, fine-tuning, licensing and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:50 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:50 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>text-embedding-3-large: Features, Pricing, Dimensions and API Use</title>
<link>https://llms.ninja/openai/models/text-embedding-3-large</link>
<description><![CDATA[text-embedding-3-large is OpenAI's embedding model with 3,072 dimensions, an 8,192-token input limit, adjustable vector size and pricing of $0.13 per 1M input tokens.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:47 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:47 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Mini TTS: Features, Pricing, Voices and API</title>
<link>https://llms.ninja/openai/models/gpt-4o-mini-tts</link>
<description><![CDATA[GPT-4o Mini TTS is OpenAI's text-to-speech model for controllable, streaming audio generation through the Audio API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:43 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:43 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Whisper Model: OpenAI Speech Recognition, Pricing and API Status</title>
<link>https://llms.ninja/openai/models/whisper</link>
<description><![CDATA[Whisper is OpenAI's multilingual speech recognition model for transcription, English speech translation, language identification, timestamps and subtitles. The whisper-1 API is deprecated and scheduled to shut down in 2027.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:41 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>TTS-1 HD: OpenAI Text-to-Speech Model, Pricing and Features</title>
<link>https://llms.ninja/openai/models/tts-1-hd</link>
<description><![CDATA[TTS-1 HD is OpenAI’s quality-focused text-to-speech model for generating audio through the Audio API, with multiple voices, formats, and speed controls.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:38 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:38 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Transcribe Diarize: Features, Pricing and API Status</title>
<link>https://llms.ninja/openai/models/gpt-4o-transcribe-diarize</link>
<description><![CDATA[GPT-4o Transcribe Diarize converts audio to text with speaker labels, timestamps and optional known-speaker references through OpenAI's Transcription API.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:35 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:35 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Transcribe: Pricing, Features, Limits, and Status</title>
<link>https://llms.ninja/openai/models/gpt-4o-transcribe</link>
<description><![CDATA[GPT-4o Transcribe converts audio to text with prompted transcription, streaming support, a 16K context window, token-based pricing, and a February 2027 shutdown date.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:26 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:26 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Transcribe: OpenAI Speech-to-Text Model and Pricing</title>
<link>https://llms.ninja/openai/models/gpt-transcribe</link>
<description><![CDATA[GPT-Transcribe converts recorded or committed audio into text with streaming, language hints, keyword hints, and pricing of $0.0045 per audio minute.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:23 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:23 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Audio-1.5: Features, Pricing, Context and API Support</title>
<link>https://llms.ninja/openai/models/gpt-audio-1-5</link>
<description><![CDATA[GPT-Audio-1.5 is OpenAI's audio-in, audio-out model for Chat Completions, with streaming, function calling, a 128K context window and text/audio token pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:19 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:19 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime-1.5: Features, Pricing, Context and Audio Support</title>
<link>https://llms.ninja/openai/models/gpt-realtime-1-5</link>
<description><![CDATA[GPT-Realtime-1.5 is OpenAI’s speech-to-speech model for realtime voice agents, with audio input and output, function calling, image input, and a 32K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:15 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:15 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime-Whisper: Pricing, Limits and API Support</title>
<link>https://llms.ninja/openai/models/gpt-realtime-whisper</link>
<description><![CDATA[GPT-Realtime-Whisper is OpenAI’s low-latency streaming speech-to-text model for live captions, meetings, voice agents and realtime transcription.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:13 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Live-Transcribe: Realtime Speech-to-Text and Pricing</title>
<link>https://llms.ninja/openai/models/gpt-live-transcribe</link>
<description><![CDATA[GPT-Live-Transcribe is OpenAI's low-latency streaming speech-to-text model for live audio, captions, calls, and realtime transcription applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:10 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime-Translate: Live Speech Translation by OpenAI</title>
<link>https://llms.ninja/openai/models/gpt-realtime-translate</link>
<description><![CDATA[GPT-Realtime-Translate provides low-latency speech-to-speech translation, transcript streaming, broad language coverage, WebRTC and WebSocket access, and pricing of $0.034 per audio minute.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:07 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:07 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime-2: Features, Pricing, Context and API Details</title>
<link>https://llms.ninja/openai/models/gpt-realtime-2</link>
<description><![CDATA[GPT-Realtime-2 is OpenAI’s reasoning voice model for low-latency speech-to-speech agents, with audio output, tool use, image input, and a 128K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:54:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:54:05 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime-2.1 Mini: Pricing, Features, Limits and API Guide</title>
<link>https://llms.ninja/openai/models/gpt-realtime-2-1-mini</link>
<description><![CDATA[GPT-Realtime-2.1 Mini is OpenAI's lower-cost real-time reasoning model for voice agents, with audio input and output, image input, tool use, and a 128K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:32 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Realtime-2.1: Features, Pricing, Limits and API Support</title>
<link>https://llms.ninja/openai/models/gpt-realtime-2-1</link>
<description><![CDATA[GPT-Realtime-2.1 is OpenAI's realtime reasoning model for speech-to-speech agents, with audio, image input, tool use, configurable reasoning and a 128K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:29 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Live 1: Features, Pricing, API and Use Cases</title>
<link>https://llms.ninja/openai/models/gpt-live-1</link>
<description><![CDATA[GPT-Live 1 is OpenAI's full-duplex voice model for streaming conversations, interruption handling, function calling, and backend agent delegation.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:27 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Sora 2 Pro: Features, Pricing, API Status and Specifications</title>
<link>https://llms.ninja/openai/models/sora-2-pro</link>
<description><![CDATA[Sora 2 Pro is OpenAI's high-quality video model with synchronized audio, image references, 1080p output and per-second API pricing. It is scheduled to shut down on September 24, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:13 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:13 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>Sora 2: OpenAI Video Generation, Pricing and API Status</title>
<link>https://llms.ninja/openai/models/sora-2</link>
<description><![CDATA[Explore Sora 2's video and audio generation capabilities, inputs, outputs, pricing, use cases, limitations, and scheduled September 24, 2026 API shutdown.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:10 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:10 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>DALL·E 2: Capabilities, API Pricing, Limits and Retirement</title>
<link>https://llms.ninja/openai/models/dall-e-2</link>
<description><![CDATA[Learn what DALL·E 2 supported, including image generation, editing, inpainting, outpainting, historical pricing, image sizes and its 2026 API retirement.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:06 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:06 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>DALL·E 3: Features, Pricing, API History and Status</title>
<link>https://llms.ninja/openai/models/dalle-3</link>
<description><![CDATA[DALL·E 3 was OpenAI’s text-to-image model known for detailed prompt following, improved text rendering and multiple image formats. Its API was shut down on May 12, 2026.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:04 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Image-2: OpenAI Image Generation and Editing Model</title>
<link>https://llms.ninja/openai/models/gpt-image-2</link>
<description><![CDATA[GPT-Image-2 generates and edits images from text and reference images, with high-fidelity inputs, custom resolutions, multiple formats, and Images API support.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:52:00 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:52:00 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Image-2.5 Flare: OpenAI Image Generation Model</title>
<link>https://llms.ninja/openai/models/gpt-image-2-5-flare</link>
<description><![CDATA[GPT-Image-2.5 Flare is OpenAI's fast image generation and editing model for text and image inputs, high-quality image outputs, and high-volume API workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:51:57 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:57 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Image-2.5 Sunburst: Features, Pricing, and API</title>
<link>https://llms.ninja/openai/models/gpt-image-2-5-sunburst</link>
<description><![CDATA[GPT-Image-2.5 Sunburst is OpenAI's precision-focused image generation and editing model for detailed visual workflows, with token-based API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:51:54 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:54 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-Rosalind: OpenAI Life Sciences AI Model</title>
<link>https://llms.ninja/openai/models/gpt-rosalind</link>
<description><![CDATA[GPT-Rosalind is OpenAI’s specialized reasoning model for biology, drug discovery, genomics, medicinal chemistry, protein analysis, and governed scientific research.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:51:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:51 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o Mini: Pricing, Context Window, Features, and Uses</title>
<link>https://llms.ninja/openai/models/gpt-4o-mini</link>
<description><![CDATA[GPT-4o Mini is OpenAI's fast, low-cost model for text and image input, structured outputs, function calling, and high-volume AI applications.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:51:49 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:49 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4o: Features, Pricing, Context Window and API Status</title>
<link>https://llms.ninja/openai/models/gpt-4o</link>
<description><![CDATA[GPT-4o is OpenAI’s general-purpose multimodal API model with image input, text output, a 128K context window, structured outputs, and current lifecycle details.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:51:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:45 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-4.1: Pricing, Context Window, Features and API Support</title>
<link>https://llms.ninja/openai/models/gpt-4-1</link>
<description><![CDATA[GPT-4.1 is OpenAI's non-reasoning API model for coding, instruction following, tool use and long-context applications, with a 1M-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:51:41 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:41 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI o3: Reasoning, Pricing, Context and API Capabilities</title>
<link>https://llms.ninja/openai/models/openai-o3</link>
<description><![CDATA[Learn about OpenAI o3 reasoning, image input, coding, pricing, context limits, tool support, API access and the lifecycle of its dated snapshot.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:51:39 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:39 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.1: Features, Pricing, Context Window and API Details</title>
<link>https://llms.ninja/openai/models/gpt-5-1</link>
<description><![CDATA[GPT-5.1 is OpenAI's coding and agentic API model with configurable reasoning, a 400K context window, 128K maximum output, image input, structured outputs, and prompt caching.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:51:28 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>OpenAI o3-pro: Pricing, Context Window, Capabilities and API Details</title>
<link>https://llms.ninja/openai/models/o3-pro</link>
<description><![CDATA[Learn what OpenAI o3-pro does, how much it costs, its context and output limits, supported inputs and tools, reasoning strengths, and key limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:36 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:49:36 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5 Pro: Pricing, Context, Capabilities, and API Status</title>
<link>https://llms.ninja/openai/models/gpt-5-pro</link>
<description><![CDATA[GPT-5 Pro is OpenAI's high-compute reasoning model with a 400K context window, image input, structured outputs, and Responses API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:32 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:49:32 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5 nano: Pricing, Context Window, Features and Use Cases</title>
<link>https://llms.ninja/openai/models/gpt-5-nano</link>
<description><![CDATA[GPT-5 nano is OpenAI's fast, low-cost model for classification, summarization, extraction and lightweight reasoning, with image input and a 400K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:29 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:49:29 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5 Mini: Pricing, Context Window, Features, and API Status</title>
<link>https://llms.ninja/openai/models/gpt-5-mini</link>
<description><![CDATA[GPT-5 Mini details including API pricing, 400K context, 128K output limit, image input, reasoning, coding, tools, structured outputs, and availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:25 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:49:25 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5: Features, Pricing, Context Window, and API Support</title>
<link>https://llms.ninja/openai/models/gpt-5</link>
<description><![CDATA[GPT-5 supports reasoning, coding, image input, tool calling, structured outputs, streaming, caching, and batch processing with a 400K context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:22 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:49:22 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.2: Features, Pricing, Context Window, and Capabilities</title>
<link>https://llms.ninja/openai/models/gpt-5-2</link>
<description><![CDATA[GPT-5.2 is OpenAI’s reasoning model with a 400K context window, 128K output limit, image input, tool calling, structured outputs, and configurable reasoning.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:49:05 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:49:05 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.4 nano: Pricing, Context, Features, and API Guide</title>
<link>https://llms.ninja/openai/models/gpt-5-4-nano</link>
<description><![CDATA[GPT-5.4 nano is OpenAI's low-cost GPT-5.4 API model for fast, high-volume tasks. See pricing, context, modalities, tools, reasoning, and limitations.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:48:14 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:48:14 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.3-Codex: Features, Pricing, Context and Capabilities</title>
<link>https://llms.ninja/openai/models/gpt-5-3-codex</link>
<description><![CDATA[GPT-5.3-Codex is OpenAI's agentic coding model with a 400K context window, 128K maximum output, image input, tool use, web search and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:40:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:40:11 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.4 Mini: Pricing, Context Window, and API Capabilities</title>
<link>https://llms.ninja/openai/models/gpt-5-4-mini</link>
<description><![CDATA[GPT-5.4 Mini is OpenAI's fast, efficient model for coding, computer use, subagents, image reasoning, and high-volume API workloads.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:39:04 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:39:04 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.4: Features, Pricing, Context Window, and API Capabilities</title>
<link>https://llms.ninja/openai/models/gpt-5-4</link>
<description><![CDATA[Explore GPT-5.4 capabilities, pricing, context window, reasoning, coding, vision, computer use, web search, tools, and OpenAI API availability.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:38:27 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:38:27 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.5 Pro: Features, Pricing, Context and API Support</title>
<link>https://llms.ninja/openai/models/gpt-55-pro</link>
<description><![CDATA[GPT-5.5 Pro is OpenAI's high-compute reasoning model with a 1.05M-token context window, 128K output limit, image input, tool use, and Responses API access.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:37:24 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:37:24 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.5: Features, Pricing, Context Window and Use Cases</title>
<link>https://llms.ninja/openai/models/gpt-5-5</link>
<description><![CDATA[GPT-5.5 is OpenAI’s flagship model for complex coding, research, reasoning, tool use, and long-context professional workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:37:16 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:37:16 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.6 Cyber: Pricing, Capabilities, Limits and Access</title>
<link>https://llms.ninja/openai/models/gpt-5-6-cyber</link>
<description><![CDATA[GPT-5.6 Cyber is OpenAI’s restricted-access model for authorized vulnerability research, exploit validation and advanced cybersecurity testing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:37:11 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:37:11 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.6 Luna: Pricing, Context Window, Capabilities and API Support</title>
<link>https://llms.ninja/openai/models/gpt-5-6-luna</link>
<description><![CDATA[GPT-5.6 Luna is OpenAI's fastest and most affordable GPT-5.6 model, with a 1.05M-token context window, image input, tool use, structured outputs and low API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:36:59 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:36:59 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.6 Terra: Context, Pricing, Features and API Support</title>
<link>https://llms.ninja/openai/models/gpt-5-6-terra</link>
<description><![CDATA[GPT-5.6 Terra is OpenAI's balanced API model with a 1.05M-token context window, 128K output limit, reasoning controls, image input, tools and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:36:51 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:36:51 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-5.6 Sol: Pricing, Context, Tools, and Capabilities</title>
<link>https://llms.ninja/openai/models/gpt-5-6-sol</link>
<description><![CDATA[GPT-5.6 Sol is OpenAI's flagship model for complex reasoning, coding, research, tool use, and long-context professional workflows.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:36:45 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:36:45 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-6 Luna: Pricing, Context, Capabilities and API Availability</title>
<link>https://llms.ninja/openai/models/gpt-6-luna</link>
<description><![CDATA[GPT-6 Luna is OpenAI’s efficient reasoning model with image input, a 1.05M-token context window, 128K-token outputs, tool support, caching, and low API pricing.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:36:37 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:36:37 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-6 Sol: Features, Pricing, Context Window and API Support</title>
<link>https://llms.ninja/openai/models/gpt-6-sol</link>
<description><![CDATA[GPT-6 Sol is OpenAI's reasoning model for coding and agentic workflows, with a 1.05M-token context window, 128K output limit, tool use and structured outputs.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:20:28 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:20:28 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
</item>
<item>
<title>GPT-6 Astra: Capabilities, Pricing, Context and API Support</title>
<link>https://llms.ninja/openai/models/gpt-6-astra</link>
<description><![CDATA[GPT-6 Astra is OpenAI’s flagship reasoning model for coding, computer use, research and professional workflows, with a 1.05M-token context window.]]></description>
<author>LLMS Ninja</author>
<pubDate>Friday, 25 September 2026 12:10:26 GMT</pubDate>
<lastmod>Friday, 25 September 2026 06:10:26 GMT</lastmod>
<category><![CDATA[openai/models]]></category>
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