Best for
Best for developers who want an open, self-hostable 3D generator with text, image and sketch inputs.
- Freelancers
- Small and mid-sized
- Enterprise
AI 3D Modeling Comparison
At a glance
Best for
Best for developers who want an open, self-hostable 3D generator with text, image and sketch inputs.
Best for
Best for developers with their own GPU who want an open, MIT-licensed image-to-3D model to run and adapt themselves.
Cataleo does not name a winner. Both statements come from the vendors themselves.
| Criterion | Hunyuan3D | TRELLIS |
|---|---|---|
| Starting price | Free tier; open weights available Individuals get 20 free generations per day. Enterprise API access runs via Tencent Cloud, and the model weights are released for self-hosting. | Free, MIT licence Needs your own hardware: Linux and an NVIDIA GPU with at least 24 GB of memory, verified on A100 and H100. |
| Free trial | Free tier (20 generations per day) | Free open weights, plus a Hugging Face Spaces demo |
| Commercial use | Allowed under the Tencent Hunyuan 3D Community License up to 1 million monthly active users; the licence does not apply in the EU, UK or South Korea | Yes, under the MIT licence; some dependencies carry their own licences |
| Output | Textured 3D models from text, images or sketches | Textured 3D assets in GLB, as radiance fields, 3D Gaussians or meshes |
| API | Yes, via Tencent Cloud | Run from the published code and weights; an Azure AI Foundry instance is available |
| Hosting | Not stated | Self-hosted |
| What it makes | Textured 3D models from text, single or multi-view images, and sketches | 3D assets from image prompts in TRELLIS.2, and from text or image prompts in the first release, decoded as radiance fields, 3D Gaussians or meshes |
| Detail and topology | Smart topology optimization, supporting both triangular and quadrilateral meshes | The O-Voxel sparse voxel structure represents open surfaces, non-manifold geometry and enclosed internal structures without a lossy conversion |
| Rigging and textures | Textured meshes with a separate shape and texture generation stage | Native PBR materials with base colour, roughness, metallic and opacity |
| Speed | Minutes per model | On an H100, about 3 seconds at 512 cubed, 17 seconds at 1024 cubed and 60 seconds at 1536 cubed |
| Export and pipeline fit | OBJ and GLB export; works with Unity, Unreal Engine and Blender | GLB export; runs on Linux with an NVIDIA GPU of at least 24 GB and CUDA Toolkit 12.4 |
| Deployment | more entries Cloud (SaaS), Browser-based, On-premise | Browser-based, On-premise |
| Support | Community forum | Not stated |
| Onboarding | Documentation and knowledge base | Not stated |
| Company size | Freelancers, Small and mid-sized, Enterprise | Not stated |
| Integrations | more entries Unity, Unreal Engine, Blender, Tencent Cloud | Hugging Face, Azure AI Foundry |
Adds a column to the table, from the tools in this category.
Row where the values differ The small markers point at the lower number, the longer list or the stated feature. They describe the data, they are not a verdict.
The short version
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Hunyuan3D
Strengths
Limitations
TRELLIS
Strengths
Limitations
Plans
Hunyuan3D
TRELLIS
What users say
Hunyuan3D
No reviews yet. Nothing has been published here yet, and no score is shown. How a review is checked before it appears is described below.
TRELLIS
No reviews yet. Nothing has been published here yet, and no score is shown. How a review is checked before it appears is described below.
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Where this comes from
Hunyuan3D https://3d.hunyuanglobal.com · no check date recorded yet
TRELLIS https://microsoft.github.io/TRELLIS/ · no check date recorded yet
This table lists factual criteria taken from information the vendors publish themselves. For how we put it together, see the methodology.