What is Alice AI ART?
Alice AI ART is Yandex’s current image-generation model for turning text prompts into visual content. A prompt might describe an illustration, an advertising concept, a presentation graphic, a landing-page image, or a product-card visual. The model produces an image rather than a written answer, so it belongs to a different category from general-purpose conversational models.
Yandex describes Alice AI ART as a multimodal diffusion model. In practical terms, diffusion models generate an image by progressively forming visual detail from a prompt-guided generation process. The currently documented workflow centers on text input and image output. The supplied model information does not establish support for image input, image editing, inpainting, or other image-to-image workflows, so those capabilities should not be assumed from the word “multimodal” alone.
Alice AI ART was released in Yandex AI Studio on May 19, 2026, according to the supplied release information, and is listed as a current model. Its canonical model identifier is aliceai-image-art-3.0, used in the URI form art://<folder_id>/aliceai-image-art-3.0.
Where it fits in Yandex’s current lineup
Alice AI ART is the image-generation specialist in the relevant Yandex AI Studio catalog. It is not a general language model with image features added as a secondary function. Its role is narrower: accept a visual description and return a generated image.
This distinction matters because Yandex also documents YandexART as a separate, older image model. The supplied catalog information says YandexART was available only until September 7, 2026, and should not be treated as an alias or alternate name for Alice AI ART. For current integrations, the documented identifier to use is aliceai-image-art-3.0.
The model can be used through the AI Studio generation interface, the OpenAI-compatible Images API, and the Image Generation Tool in the Responses API. These access methods provide different integration surfaces, but they all position Alice AI ART as an image-output model rather than a conversational text model.
What can Alice AI ART create?
The documented use cases focus on visual material that can be created from a concise or detailed description. Examples include:
- Illustrations and conceptual artwork
- Graphic-design elements
- Advertising materials
- Presentation visuals
- Landing-page imagery
- Product cards and other commerce-oriented assets
This makes the model most relevant when the deliverable is a standalone image. For example, a team could describe a clean product scene for an online store, request an illustration in a particular visual direction, or create a presentation background without commissioning each asset manually.
The model’s usefulness still depends on the precision of the prompt and the suitability of generated content for the intended use. The supplied research does not provide benchmark results, measured prompt-following scores, or guarantees about text rendering, brand consistency, factual depiction, or exact object placement. Generated assets should therefore be reviewed before publication, especially in advertising, product communication, and commercial design.
Inputs, outputs, and supported formats
The documented input is a text prompt. The model catalog lists a context value of 500 characters, which is the relevant published input limit for the model. This is a short prompt budget compared with the context windows of general-purpose text models, so long creative briefs may need to be condensed.
Alice AI ART produces images directly. The documented generation interface supports common landscape and portrait output sizes, including:
1024x1024for square images1024x1536for portrait-oriented images1536x1024for landscape-oriented images
The supplied documentation also lists PNG, WebP, and JPEG output options for the image-generation interface. The model has no documented text-output token limit because it is not intended to generate a textual response as its primary output. Likewise, the research does not specify a maximum number of images per request or a separate image-resolution tier beyond the listed sizes.
The catalog marks multimodal input and output as supported, but the detailed usage information supplied for this page specifically describes text-to-image generation. It is safest to interpret the verified workflow as text input followed by direct image output unless Yandex’s current API documentation confirms additional input modes for a particular endpoint.
Pricing and access
The supplied Yandex AI Studio pricing information lists Alice AI ART at $0.0182786856 per image-generation request, without VAT. This is a per-request price, not a monthly subscription price and not a token-based text-generation rate. The final amount paid by an account may depend on applicable taxes, billing arrangements, account configuration, or changes to Yandex’s pricing policy.
API use is separate from access to consumer Alice services. An integration using AI Studio requires the relevant Yandex Cloud or AI Studio account setup, authentication, permissions, and billing configuration. The existence of consumer access to Alice does not by itself establish that a user has API access to Alice AI ART.
Because the price is charged per generation request, the model can be easier to budget for asset-by-asset production than a general model whose image capability is bundled into a broader subscription. However, the supplied information does not include volume discounts, batch pricing, quotas, regional tax treatment, or service-level guarantees.
Technical capabilities and limitations
| Specification | Documented information |
|---|---|
| Provider | Yandex |
| Model identifier | aliceai-image-art-3.0 |
| Model type | Multimodal diffusion model |
| Primary input | Text prompt |
| Primary output | Generated image |
| Context value | 500 characters |
| Output sizes | 1024x1024, 1024x1536, and 1536x1024 |
| Output formats | PNG, WebP, and JPEG in the documented interface |
| Generation price | $0.0182786856 per request, without VAT |
| Text output | Not the model’s primary output |
| Image output | Supported |
| Tool or function calling | Not documented as a model capability |
| Fine-tuning | Not documented as supported |
Alice AI ART is not a replacement for a text-reasoning model. The supplied research does not document chain-of-thought reasoning, long-form text generation, coding assistance, transcription, speech synthesis, embeddings, or video generation. Its catalog scores for reasoning and coding should not be read as provider-published benchmark results; the practical conclusion is simply that those tasks are outside the model’s intended role.
The API documentation includes streaming-related parameters, and the catalog marks streaming as supported. For an image-generation workflow, streaming should not be confused with token-by-token text generation. The available behavior and event format depend on the specific AI Studio endpoint, so applications should follow the endpoint documentation rather than assume that an image is delivered in the same way as a streamed text response.
Strengths and trade-offs
The main strength of Alice AI ART is specialization. It is designed for producing visual assets rather than making a general-purpose model handle an image request through a broader conversational interface. The available square, portrait, and landscape sizes cover several common content layouts, while the PNG, WebP, and JPEG options are useful for different delivery contexts.
Its per-request pricing is also straightforward for small, discrete image-generation jobs. A developer creating a product-card image, presentation graphic, or campaign concept can estimate the generation cost from the number of requests. The low absolute request price may be attractive for experimentation, although the supplied data does not provide a direct price comparison with other image models.
The trade-off is limited scope. A 500-character context value makes the model unsuitable for very long creative briefs unless they are summarized first. There is no verified support in the supplied research for image input, editing, custom model training, structured text output, or function calling. Users who need a system to analyze a reference image, revise an existing composition, produce a written explanation, or coordinate several tools may need a broader multimodal or agentic model instead.
When to choose Alice AI ART
Choose Alice AI ART when the central requirement is generating a new image from a text description and the intended workflow fits Yandex AI Studio. It is a reasonable option for:
- Rapid concept art and illustration drafts
- Russian-language or Yandex-oriented visual-content workflows
- Marketing and advertising asset ideation
- Presentation and landing-page imagery
- Product-card visuals and other commerce assets
- Applications that need a documented image-generation API with common output formats and sizes
Another option may be more appropriate when the task depends on text reasoning, software development, speech, video, embeddings, or reliable tool orchestration. A broader multimodal model may also be preferable when the workflow requires analyzing an uploaded image, maintaining a long creative specification, or combining image creation with detailed written output. For high-stakes commercial use, human review remains necessary because the supplied documentation does not guarantee factual accuracy, exact typography, brand fidelity, or consistent results across repeated generations.
Bottom line
Alice AI ART is best understood as Yandex’s current specialist for text-to-image generation. Its verified profile is clear: a 500-character model context, direct image output, common square and rectangular sizes, PNG/WebP/JPEG options in the documented interface, and a listed price of $0.0182786856 per request without VAT. It is well suited to practical visual-content generation through Yandex AI Studio, but it should not be evaluated as a general-purpose reasoning model or assumed to support image editing and other multimodal workflows that are not documented in the supplied material.