whatmodel.sh / video / Wan 2.7
Wan 2.7
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Wan 2.7 is a closed-weights video model from Alibaba, released April 2026. Licence: proprietary.
$ how it compares
The video models ranked either side of Wan 2.7, out of 139 with a score, then more from Alibaba.
| # | model | score | where | ||
|---|---|---|---|---|---|
| 21 | 68±1 | api $0.10/sec | |||
| 22 | 68±4 | api $0.084/sec | |||
| 23 | 68±2 | api $0.10/sec | |||
| 24 | 65±2 | api $0.10/sec | |||
| 25 | 65±2 | comparison only | |||
| more from Alibaba | |||||
| 2 | 80±7 | api $0.14/sec | |||
| 4 | 79±2 | api $0.10/sec | |||
| 9 | 76±3 | api $0.14/sec | |||
$ what it's good at
text to video▆▄▃▄▆▅█▃▃▂▂▄ #13 of 68 * · 42% of its score · 1 test
| test | result | vs the others in its run | counts |
|---|---|---|---|
| LMArena video | 1337.2 ✎ | ▂▂▃▆█▆·▆▅▁▂▇ beats 25/41 | 42% |
image to video▁▂·▂▅█▅▄▅▆▃▄ #17 of 50 · 49% of its score · 3 tests
Beats HappyHorse 1.1 here, though they rank higher overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image-to-video | 1428.2 ✎ | ▁▁▁▁▄▇▃▆▃▂▄█ beats 30/40 | 28% |
| Rapidata physics realism (I2V, with reference) | 1009.0 ✎ | ▂··▂▂▆█▆▂▂▆▄ beats 4/19 | 16% |
| VGI-Bench visual reasoning (I2V) | 35.7% ✎ | ▄▄···▄▄█·█·▄ beats 3/8 | 5.4% |
other tests2 not in a task · 7.8% of its score
| test | result | vs the others in its run | counts |
|---|---|---|---|
| SWITCH interactive-interface I2V (VLM-judge overall) | 34.4% ✎ | ███··█·····█ beats 0/4 | 5.9% |
| MechVerse mechanical-motion I2V (WorldModelBench-judge sum) | 75.9% ✎ | ▂···▂······█ beats 4/5 | 1.9% |
$ where to run it
Through an API
api · Alibaba Cloud Model Studio · $0.10/sec · www.alibabacloud.com ↗ · price sourceUSD per second of output video, 720P, International deployment (Singapore). Product: Model Studio Wan text-to-video. API model: wan2.7-t2v (dated snapshots wan2.7-t2v-2026-04-25/-2026-06-12 same rate). Settings: resolution=720P. Price basis: published list price; only output is billed. 1080P $0.15/s. Free quota and other regions excluded. Currency: USD. Alibaba Cloud Model Studio pricing page, observed 2026-09-25.
$ how the score was worked out · LMArena leaderboard dataset 70%, Rapidata/world-model-physics… 16%, SWITCH: Benchmarking Modeling… 6% and 2 more
Each result implies a score on its own, after adjusting for how hard its test is and who ran it. The score is their weighted average, with a small pull toward the middle for thinly tested models. Each test's weight is its counts column above; here it's added up by who ran the tests. How it works
| source | results | share of the score |
|---|---|---|
| 2 | 70% | |
| 1 | 16% | |
| 1 | 6% | |
| 1 | 5% | |
| 1 | 2% | |
| prior · pull toward the middle | 1% | |
| weighted average | = 67.6 |
$ improve this page
Use a short GitHub form or edit the data through a pull request. Every number needs a source; here's which ones we can use.
data updated · sources and licences · json