Best for
Best for developers who want to generate video on their own hardware outside the EU, UK and South Korea.
- Freelancers
- Small and mid-sized
- Enterprise
AI Video Comparison
HunyuanVideo vs. Vidu
At a glance
At a glance
Best for
Best for creators who need fast clips with consistent characters from reference images.
- Freelancers
- Small and mid-sized
Cataleo does not name a winner. Both statements come from the vendors themselves.
Full Comparison
| Criterion | HunyuanVideo | Vidu |
|---|---|---|
| Starting price | Free self-hosted You supply the GPU. Tencent runs a browser playground alongside the download. | Not stated |
| Free trial | Open weights, plus a hosted playground | Free credits, plus unlimited generation in off-peak mode |
| Commercial use | Permitted under the Tencent Hunyuan Community Licence, but the licence excludes the European Union, the United Kingdom and South Korea, and a separate licence is required above 100 million monthly active users | Not stated |
| Output | Video at 480p and 720p, 121 frames by default, with super-resolution to 1080p | Short videos from text, an image, or up to seven reference images, up to 1080p |
| Hosting | Self-hosted from the open weights | Not stated |
| Made in | China | Not stated |
| Inputs | Text and image: HunyuanVideo-1.5 covers text-to-video and image-to-video, and a separate HunyuanVideo-I2V model handles image input for the original release | Text, a single image, or up to seven reference images for characters, props and scenes |
| Editing control | No editing of existing footage. Two automatic passes run around the generation instead: prompt rewriting through a vLLM-served Qwen3 model, and a few-step super-resolution network that lifts the result to 1080p, with an option to keep the file from before the upscale | First and last frame control for transitions, plus a My References library to reuse characters and scenes |
| Character and shot consistency | Companion models extend the base: HunyuanCustom for customised subject generation, HunyuanVideo-Avatar for audio-driven human animation | Multi-reference mode holds characters, objects and scenes consistent |
| Audio and lip-sync | The base model generates picture only; audio-driven animation is the separate HunyuanVideo-Avatar model | Built-in AI sound-effect generator |
| Generation speed | Step distillation gives about a 75 percent speedup on an RTX 4090; the documented minimum is 14GB of GPU memory with offloading | Fast generation, which the vendor cites at around 10 seconds per clip |
| API | No hosted generation endpoint. The model runs from the published inference code, with Hugging Face Diffusers and ComfyUI integrations; the only endpoint in the pipeline is a vLLM-compatible one you supply for the prompt rewrite | Yes, via platform.vidu.com |
| Deployment | Browser-based, On-premise | Cloud (SaaS), Browser-based |
| Support | Not stated | Email helpdesk |
| Onboarding | Documentation and knowledge base | Documentation and knowledge base |
| Company size | more entries Freelancers, Small and mid-sized, Enterprise | Freelancers, Small and mid-sized |
| Integrations | Hugging Face Diffusers, ComfyUI | Not stated |
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The short version
Key Differences
- Free trial HunyuanVideo Open weights, plus a hosted playground Vidu Free credits, plus unlimited generation in off-peak mode
- Deployment HunyuanVideo Browser-based, On-premise Vidu Cloud (SaaS), Browser-based
- Company size HunyuanVideo Freelancers, Small and mid-sized, Enterprise Vidu Freelancers, Small and mid-sized
- Output HunyuanVideo Video at 480p and 720p, 121 frames by default, with super-resolution to 1080p Vidu Short videos from text, an image, or up to seven reference images, up to 1080p
- Inputs HunyuanVideo Text and image: HunyuanVideo-1.5 covers text-to-video and image-to-video, and a separate HunyuanVideo-I2V model handles image input for the original release Vidu Text, a single image, or up to seven reference images for characters, props and scenes
Every line is one datapoint from the table above, picked automatically. Nothing here is written text.
The trade-offs
Strengths and Limitations
HunyuanVideo
Strengths
- Open weights that run on a single consumer GPU, from 14GB with offloading
- Text-to-video and image-to-video in one 8.3B model, with super-resolution to 1080p
- Nothing to pay per clip once it runs locally
- Companion models for image-to-video, avatars and customised subjects
Limitations
- The licence does not apply in the European Union, the United Kingdom or South Korea
- A separate Tencent licence is required above 100 million monthly active users
- Needs an NVIDIA GPU and Linux; there is no turnkey desktop app
- Native output caps at 720p before the upscaling pass
Vidu
Strengths
- Reference-to-video with up to seven images for consistent characters and props
- Built-in AI sound-effect generation
- Free credits, plus an unlimited off-peak mode
Limitations
- Developed by Shengshu (China), check your data-residency needs
- Output resolution caps at 1080p
Plans
Pricing
HunyuanVideo
- Self-hosted Free Open weights from GitHub and Hugging Face, run on your own NVIDIA hardware under Linux.
Vidu
- Free $0 Free credits, plus unlimited generation in off-peak mode.
What users say
Review Scores · opens after launch
HunyuanVideo
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Vidu
- Ease of use
- Not rated yet
- User interface
- Not rated yet
- Onboarding
- Not rated yet
- Support and service
- Not rated yet
- Value for money
- Not rated yet
- Features
- Not rated yet
No reviews yet. Be the first to review this tool. Every review is checked for fairness before it appears, and the vendor cannot have one removed.
Where this comes from
Where this comes from
HunyuanVideo https://aivideo.hunyuan.tencent.com · no check date recorded yet
Vidu https://www.vidu.com · 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.