Two of 2026's leading AI video models, compared on what actually matters: price per second, audio, output quality and the jobs each one wins. Based on the same public pricing data as our cost calculator.
| Wan 2.6 | Kling 3.0 | |
|---|---|---|
| Maker | Alibaba | Kuaishou |
| 720p $/sec | $0.05 | $0.04 |
| 1080p $/sec | $0.05 | $0.08 |
| Native audio | ✘ None | ✘ None |
| Best at | Cheapest usable quality; open weights | Best price-to-quality ratio, human motion |
| Watch out | Weaker prompt adherence on complex scenes | No native audio; watermark on free tier |
Approximate public list prices as of August 2026. Run your exact clip length through the cost calculator — and remember the retry tax: real cost ≈ list × 3.
Simple scenes at maximum volume: landscapes, product spins, abstract loops. Flat pricing across resolutions makes Wan the cheapest 1080p on the market, and open weights mean you can even self-host.
Anything with people or multi-element scenes. Kling's prompt adherence and motion quality justify the small premium the moment your scene has a subject doing something specific.
Test your exact prompt on both — the $0.03/sec difference is trivial, so let output quality decide. Rule of thumb: no humans, Wan; humans, Kling.
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Full 10-model landscape: AI Video Model Comparison. Prompt formats differ per model too — grab ready examples in the prompt libraries.
New here? Start with the AI video glossary for the terms these comparisons assume.
The budget battle. Wan 2.6 is the absolute price floor at ~$0.05/sec flat (even 1080p); Kling 3.0 costs slightly more at 1080p but is noticeably stronger on complex scenes and human motion.
Yes — Wan releases open weights, so technically-minded users can run it locally and pay nothing per second. That's a real option Kling doesn't offer.