What is HY-3D-Component?
HY-3D-Component is a Tencent model service for breaking an existing 3D model into separate components. Instead of generating a complete asset from a text prompt or a single reference image, it starts with an FBX file and analyzes how that model can be divided into individual parts.
The service is available through Tencent Cloud's TokenHub API. A client submits an FBX model, receives a task identifier, and later queries the task for its result. The generated resources can include 3D model files such as GLB assets. This makes HY-3D-Component primarily a production and asset-processing tool rather than a general-purpose AI model for text, images, or conversation.
In practical terms, it is intended for workflows where a single imported model needs to become a collection of separately usable pieces. For example, a creator may need the parts of an object to be edited, replaced, arranged independently, or used in an interactive application.
Where it fits in Tencent's catalog
Tencent places HY-3D-Component within its HY-3D family of 3D services. The official TokenHub model identifier is hy-3d-component. The model is therefore a specialized component of Tencent's broader Hunyuan 3D offering, with a narrower purpose than a general 3D generation endpoint.
Its defining operation is decomposition: the input is an existing FBX model, and the output is a set of generated model resources representing separated components. The supplied documentation does not describe HY-3D-Component as a language model, image generator, speech model, or general AI assistant.
How the workflow works
- Submit an FBX model. The documented input format is FBX, a widely used format for storing 3D geometry and related asset information.
- Start an asynchronous task. The API returns a task ID rather than requiring the caller to wait for the complete operation in one synchronous request.
- Query the task. The client uses the task ID to check processing status and retrieve the generated resources when the job finishes.
- Download or use the resulting model resources. The documentation identifies GLB files as an example of the returned 3D model output.
Tasks are asynchronous, so an application should be designed around status checks and completion handling rather than assuming an immediate response. Task IDs remain valid for 24 hours according to the supplied documentation. The documented default concurrency is one task per account, which is an important operational constraint for batch-processing systems.
Segmentation and optional post-processing
HY-3D-Component supports an optional staged-generation workflow. This provides editable part-segmentation information during the process, allowing a workflow to work with the proposed division of the model before the final result is assembled.
The service also offers optional post-processing. When enabled, post-processing produces a single model link and adds 20 points to the usage cost. This creates a practical choice between a basic generated result and a more processed output that is easier to consume as one consolidated resource.
The documentation does not provide enough detail to evaluate the quality of every segmentation, explain the exact internal algorithm, or guarantee that every input model will be divided according to a particular artistic or engineering convention. Users should therefore treat the generated separation as an automated starting point and validate the resulting parts in their own 3D pipeline.
Supported inputs and outputs
| Capability | Documented behavior |
|---|---|
| Input | An FBX 3D model file |
| Primary output | Generated separated 3D model resources |
| Example output format | GLB files |
| Processing style | Asynchronous jobs queried with task IDs |
| Optional workflow | Staged generation with editable part-segmentation information |
| Optional post-processing | A single model link, with an additional cost of 20 points |
HY-3D-Component should not be described as a conventional multimodal chat model. It handles a specialized 3D asset input and produces non-text 3D resources. The supplied model data records no text, image, audio, or video input or output capabilities. Its documented modality is specifically 3D model processing.
Main strengths
- Focused asset decomposition: The service is built for separating an existing FBX model into components rather than asking a general-purpose model to interpret or describe it.
- Cloud API access: TokenHub integration allows the operation to be incorporated into an application or automated content pipeline.
- Staged workflow support: Editable segmentation information can be useful when a production process needs to inspect or adjust the proposed parts.
- Recognizable 3D deliverables: Returning model resources such as GLB files makes the result more directly usable in downstream 3D tools and applications than a text-only description would be.
- Asynchronous processing: Task-based execution is suitable for operations that may require more time than a typical interactive API request.
These are workflow strengths rather than claims about universal reconstruction quality. The supplied research contains no independent benchmark, accuracy score, supported polygon range, or guaranteed processing time.
Limitations and undocumented specifications
The most important limitation is input specificity: the documented input is an FBX model. HY-3D-Component is not presented as a tool for decomposing arbitrary image files, videos, audio, text prompts, or other general-purpose inputs.
Several technical limits are not published in the supplied model documentation. There is no documented context window, maximum output-token count, knowledge cutoff, token-based price, fine-tuning option, batch API, streaming mode, or model-specific concurrency beyond the stated default of one task per account. Context-window and output-token concepts are also not naturally applicable to this 3D asset-processing service in the same way they are to a language model.
The asynchronous design introduces operational requirements. Applications must store task IDs, query status, handle failures or delayed completion, and retrieve results before the relevant task validity period expires. A one-task default concurrency may also make large queues slow unless the account's available configuration or quota differs from the documented default.
There is no supplied evidence that HY-3D-Component provides tool calling, function calling, reasoning modes, coding assistance, JSON-mode responses, or conversational interaction. Those capabilities should not be assumed simply because the service is exposed through an API.
Pricing and usage cost
The supplied model documentation does not specify a standard monetary input price or output price for HY-3D-Component. It describes usage through points instead of providing a confirmed per-file or per-token tariff in the available research.
One concrete cost detail is documented: enabling optional post-processing adds 20 points to the usage cost. This should be treated as an additional workflow charge, not as a complete price for the underlying model operation. Prospective users should check the current Tencent Cloud TokenHub billing information and account-specific pricing before estimating production costs.
Because no reliable speed or cost benchmark is supplied, it is not possible to make a verified comparison between HY-3D-Component and other 3D services on price, throughput, or latency. The main practical cost trade-off documented here is whether the additional post-processing step is worth the extra 20 points for a single consolidated model link.
Best use cases
HY-3D-Component is a good candidate when an application already has FBX assets and needs automated decomposition at the API level. Suitable examples include:
- Preparing imported 3D assets for interactive applications where parts must be manipulated independently.
- Separating furniture, product, mechanical, architectural, or character models into reusable components.
- Building a cloud-based asset-ingestion pipeline that processes model files without requiring manual separation for every item.
- Creating an intermediate segmentation result for artists or technical designers to review and refine.
- Generating a consolidated post-processed model link when the downstream workflow benefits from a single accessible result.
The model is most relevant when decomposition is the central task. It is less suitable when the goal is to create a new 3D asset from text, generate a model from an image, edit textures, produce animation, or hold a conversation about a design.
When to choose HY-3D-Component
Choose HY-3D-Component when the starting point is an FBX file, the desired result is separated 3D components, and a Tencent Cloud API workflow fits the application. Its specialization can be more appropriate than a general 3D generation option because the service is aimed directly at analyzing and dividing an existing model.
Choose another type of tool when the input or output differs from that workflow. A text-to-3D or image-to-3D system is more appropriate for creating an asset from a prompt or reference image. A conventional 3D editor may be preferable when the model must be divided according to precise manual, engineering, or topology rules. A general language model is the better choice for documentation, code generation, or text-based reasoning rather than 3D asset processing.
The choice also depends on operational requirements. HY-3D-Component's asynchronous tasks and documented one-task default concurrency may be acceptable for controlled processing pipelines, but they should be evaluated carefully for high-volume workloads. The optional 20-point post-processing charge should be included in any cost estimate if a single processed model link is required.
Overall assessment
HY-3D-Component is a narrowly focused Tencent Cloud service for turning an FBX model into separated 3D components. Its value comes from automating a specific asset-preparation step and exposing that process through asynchronous API jobs, with optional staged segmentation and post-processing.
The available documentation supports a clear view of its role, input format, output category, workflow, and additional post-processing cost. It does not support claims about benchmark accuracy, universal model compatibility, processing speed, or detailed pricing. For teams with FBX-based asset pipelines, those documented capabilities may be enough to justify a controlled evaluation. For text, image, audio, video, or general AI tasks, HY-3D-Component is the wrong type of service.