HunyuanVideo vs Wan (Alibaba)
A spec-by-spec comparison of HunyuanVideo and Wan (Alibaba): pricing, free tier, clip length, resolution, watermark, commercial use and API access.
| HunyuanVideo | Wan (Alibaba) | |
|---|---|---|
| Pricing | Open source | Open source |
| Free tier | Free to download and run locally (Tencent Hunyuan Community License) | Free to download and run locally (Apache 2.0) |
| Max clip length | 121 frames by default | |
| Max resolution | 720p native, 1080p via super-resolution model | 720p |
| Watermark on free plan | ||
| Commercial use | Check license (Tencent Hunyuan Community License; not valid in EU, UK, South Korea) | Apache 2.0 license |
| Developer API | ||
| Open source | Yes | Yes |
HunyuanVideo is Tencent's open-weight video generation family. The current 1.5 release is an 8.3B-parameter diffusion transformer for text-to-video and image-to-video at 480p and 720p, with a separate super-resolution model that upscales to 1080p. Tencent has also released training and LoRA fine-tuning code. It targets developers and hobbyists who want to generate video locally on consumer hardware.
- Relatively small 8.3B model; minimum 14GB GPU memory with offloading
- Step-distilled 480p I2V model generates in about 75 seconds on a single RTX 4090 (per Tencent)
- Training code, LoRA tuning scripts and Diffusers support are available
- License excludes the EU, UK and South Korea, and companies with over 100M monthly active users need a separate license
- Native generation is limited to 480p/720p; 1080p requires an extra super-resolution pass
- Not an OSI open-source license; usage is bound by Tencent's acceptable use policy
Wan is a family of open-weight video generation models from Alibaba. The Wan2.2 release includes 14B mixture-of-experts text-to-video and image-to-video models, a compact 5B model that does both, a speech-to-video model, and Wan-Animate for character animation and replacement. It is aimed at developers, researchers and ComfyUI/Diffusers users who want to run or fine-tune video models themselves.
- Permissive Apache 2.0 license, and the team claims no rights over generated content
- Broad task coverage: T2V, I2V, speech-to-video and character animation/replacement
- Integrated into Hugging Face Diffusers, with Hugging Face/ModelScope demo spaces
- 14B models need a GPU with at least 80GB VRAM for single-GPU inference
- 5B TI2V model needs at least 24GB VRAM (e.g. RTX 4090)
- Open models output at most 720P (480P/720P)
Specs last verified 2026-10-23 (HunyuanVideo) and 2026-10-23 (Wan (Alibaba)). See each tool page for sources.