What is HY-3D-Format?
HY-3D-Format is a specialized Tencent TokenHub service for converting 3D model files between supported formats. Its purpose is file transformation, not generative modeling. It does not create a new asset from a text prompt or image; instead, it processes an existing 3D file and returns a converted version.
This distinction matters when evaluating the service. HY-3D-Format belongs in a production asset workflow alongside import, export, and delivery steps rather than in a prompt-driven 3D creation workflow. For example, a team could use it to turn a GLB asset into an OBJ or FBX file for another tool, or produce a USDZ or STL delivery file when the source asset is supported.
Where it fits in Tencent’s catalog
Tencent lists HY-3D-Format as a distinct 3D model and service entry in TokenHub’s current 3D catalog. Its role is narrower than a generative 3D model: it performs a defined conversion task and does not expose the characteristics normally associated with a language or reasoning model.
The service uses an asynchronous submit-and-query pattern. That makes it suitable for backend workflows in which a conversion can be queued and checked later, but less suitable for an interface that requires an immediate, synchronous response for every request.
Supported files and output formats
The documented input is a URL pointing to a 3D file. Supported input formats are FBX, OBJ, and GLB, with a maximum documented input size of 60 MB. The requested target format is selected when the conversion task is submitted.
Documented output format values include:
- STL, commonly used for manufacturing and 3D-printing workflows.
- USDZ, used in supported augmented-reality and 3D delivery workflows.
- FBX, widely used for interchange between 3D tools and engines.
- MP4 and GIF, which are listed as available conversion output values.
- OBJ, a broadly supported geometry interchange format.
- GLB, a compact binary form of glTF often used for web and application delivery.
The supplied documentation identifies the supported format values but does not provide a complete compatibility matrix for every input-output pair. Applications should therefore validate the specific conversion combinations they need rather than assuming that every listed source format can be converted to every listed output format.
How the asynchronous workflow works
HY-3D-Format uses two broad stages: task submission and task querying. During submission, the client provides the model identifier, the source file URL, and the requested target format. Tencent returns a task ID and a status that can be checked later.
Once processing is complete, the query response provides access to the converted output file URL. A practical integration should store the task ID, poll or otherwise check the documented task status, handle failure states, and download or hand off the resulting file before the URL or access conditions become unsuitable for the application. The supplied research confirms the submit-and-query design, but does not specify a universal completion time, retention period, or code sample.
Because processing is asynchronous, the service can fit batch-oriented pipelines. A content platform, for instance, could accept an uploaded GLB, submit a conversion task, mark the asset as processing, and update its record when the output URL becomes available. The documented default concurrency is one task, so deployments that need parallel conversion should account for that limit and verify whether higher concurrency is available under their Tencent account or service arrangement.
Pricing and service limits
Tencent’s TokenHub pricing documentation lists HY-3D-Format at 5 credits per call. Tencent documentation also states that one credit corresponds to CNY 0.12 in the referenced Chinese pricing context, which implies a reference value of CNY 0.60 per call before any account, region, tax, or billing-policy conditions are applied. The credit conversion and final charge should be confirmed against the account actually used.
This is a per-call service price, not a monthly subscription price. The supplied research does not provide a separate recurring plan, monthly allowance, or output-based token price.
| Specification | Documented detail |
|---|---|
| Provider | Tencent |
| Catalog | Tencent TokenHub 3D model and service catalog |
| Input | FBX, OBJ, or GLB file URL |
| Maximum input size | 60 MB |
| Output choices | STL, USDZ, FBX, MP4, GIF, OBJ, and GLB |
| Processing model | Asynchronous submission followed by task querying |
| Default concurrency | One task |
| Listed price | 5 credits per call |
Strengths and trade-offs
The main strength of HY-3D-Format is specialization. An application that already has a 3D asset and needs a supported delivery or interchange format does not need to build a separate conversion step for each target format. The service also provides a consistent task-oriented interface that can be incorporated into automated workflows.
Its narrow scope can make the service more predictable than a generative system for deterministic conversion work. It avoids the cost and uncertainty of asking a general-purpose model to perform a task it was not designed to handle. The listed price of 5 credits per call may also be attractive for workflows where the required operation is simply format conversion rather than asset generation.
There are important trade-offs. The service is asynchronous, has a documented default concurrency of one, and accepts only the documented input formats. The 60 MB input limit may exclude larger production assets unless they can be prepared within the limit. The research also does not specify conversion fidelity guarantees, animation handling, material preservation, texture behavior, coordinate-system behavior, or compatibility for each format pair. Those details should be tested with representative files.
Capabilities that are not documented
HY-3D-Format should not be evaluated using the usual language-model specification checklist. The supplied documentation does not specify a context window, maximum text output tokens, knowledge cutoff, reasoning features, coding performance, fine-tuning, streaming generation, or general-purpose tool and function calling.
It accepts a 3D file rather than text, audio, image, or video prompts. Its output is a converted asset file; the presence of formats such as MP4 and GIF in the output list does not make the service a general video or image generation model. There is no documented text response-generation capability, and the service should not be selected for chat, code generation, document analysis, or multimodal reasoning.
These are documented scope limitations rather than evidence that Tencent intends HY-3D-Format to compete with a general AI model. Its useful output is the converted file and associated task status, not an explanation or generated answer.
When to choose HY-3D-Format
Choose HY-3D-Format when the input is an existing FBX, OBJ, or GLB asset, the required destination is one of the documented output formats, and an asynchronous workflow is acceptable. It is particularly appropriate for:
- Automated conversion in a digital-asset management or publishing pipeline.
- Preparing one source asset for tools or platforms that require different interchange formats.
- Batch-oriented processing where a task can be submitted and checked later.
- Backend services that need a narrow conversion operation rather than 3D generation or editing.
Another option may be more appropriate when the goal is to generate a new 3D asset from text or images, edit geometry interactively, preserve specialized scene features that have not been documented, process files larger than 60 MB, or run many conversions concurrently. A general-purpose AI model is also a better fit for language, coding, reasoning, or image-understanding tasks, while a dedicated desktop or pipeline converter may be preferable when local control over materials, animations, textures, and conversion settings is required.
Bottom line
HY-3D-Format is best understood as a focused 3D file-conversion utility exposed through Tencent TokenHub. Its documented value is the ability to submit supported assets for asynchronous conversion at a listed rate of 5 credits per call. The service is a practical candidate for automated asset delivery pipelines, but its 60 MB input limit, one-task default concurrency, limited documented input formats, and lack of generative or reasoning features should be considered before implementation.