Kling AI vs Wan (Alibaba)
A spec-by-spec comparison of Kling AI and Wan (Alibaba): pricing, free tier, clip length, resolution, watermark, commercial use and API access.
Key differences
- Wan is open source and can run locally; Kling AI is a hosted service.
- Free tier: Kling AI — Free Basic plan with no monthly credits; exports watermarked; Wan — Free to download and run locally (Apache 2.0).
- Max resolution: Kling AI — 4K (native); Wan — 720p.
- Commercial use: Kling AI — Paid plans; Wan — Apache 2.0 license.
| Kling AI | Wan (Alibaba) | |
|---|---|---|
| Pricing | Free plan · from $8.8/mo | Open source |
| Free tier | Free Basic plan with no monthly credits; exports watermarked | Free to download and run locally (Apache 2.0) |
| Max clip length | 15s per generation (Kling 3.0) | |
| Max resolution | 4K (native) | 720p |
| Watermark on free plan | Yes | |
| Commercial use | Paid plans | Apache 2.0 license |
| Developer API | Yes | |
| Open source | No | Yes |
Kling AI is Kuaishou's video and image generation platform, known for realistic motion and its Kling 3.0 and 4.0 model families. It supports text-to-video, image-to-video, multi-shot scenes, native audio and native 4K output. It suits creators and production teams who want long single clips and strong physics, and a separate developer API is available.
- Native 4K video generation on Kling 3.0 series
- Single generations of 3 to 15 seconds
- Developer API priced per second (e.g. Kling 3.0 Turbo 1080p at $0.14/s)
- Free Basic plan includes no monthly credits and adds a watermark
- Standard plan includes only 660 credits per month
- Advertised first-month prices differ from the recurring renewal price
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 (Kling AI) and 2026-10-23 (Wan (Alibaba)). See each tool page for sources.