Hunyuan3D 2.1
A solid pick for self-hosting and full data control.
Overview
Hunyuan3D 2.1 turns images or text prompts into 3D meshes and textures, and does so with just 3 billion parameters — light enough to run on a laptop-class GPU. Weights are open and Tencent's community licence permits commercial use below 100 million monthly active users. The real caveat lies in the fine print: some versions of that licence carry territorial restrictions that may touch the EU, so it's worth reading the clause carefully before any European deployment, on-premise included.
Skill profile
Not disclosed
Strengths
- Open-source and self-hostable
Limitations
- API pricing not disclosed
Who is it for
- you want to control cost or self-host
- you have GDPR constraints
Ideal use cases
- 3D asset prototyping
- Game model generation
- Rapid product design
- E-commerce 3D content
Access & availability
Key specifications
Privacy
Run it locally
| Quantization | Disk | RAM / VRAM | Typical hardware |
|---|---|---|---|
| Q4 · recommended | 1.7 GB | 4 GB | Any recent PC/Mac |
| Q8 · balanced | 3.2 GB | 6 GB | Any recent PC/Mac |
| FP16 · max quality | 6 GB | 9 GB | 16GB PC / M1+ Mac / 8GB GPU |
Estimates for a moderate context. Long contexts need more RAM (KV cache).
Deploy
Copy-ready commands generated from this card. Adjust context length and GPU count to your hardware.
OpenAI-compatible server for production on NVIDIA GPUs.
pip install vllm
vllm serve tencent/Hunyuan3D-2.1 \
--max-model-len 32768 \
--tensor-parallel-size 1 \
--dtype autoAdvanced data · for expertsArchitecture, modalities, detailed cost, full benchmarks▾
| Arena Elo | — |
| MMLU | — |
| GPQA | — |
| HumanEval | — |
| SWE-Bench | — |
| MATH | — |