whatmodel.sh / video / Vidu Q2 Pro
Vidu Q2 Pro
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Vidu Q2 Pro is a closed-weights video model from ShengShu (Vidu), released September 2025.
Model information sources
$ how it compares
The video models ranked either side of Vidu Q2 Pro, out of 139 with a score, then more from ShengShu (Vidu).
| # | model | score | where | ||
|---|---|---|---|---|---|
| 52 | 54±2 | api $0.047/sec | |||
| 53 | 53±6 | api $0.12/sec +local | |||
| 54 | 53±3 | comparison only | |||
| 55 | 53±2 | api $0.075/sec +local | |||
| 56 | 53±2 | api $0.28/sec | |||
| more from ShengShu (Vidu) | |||||
| 24 | 65±2 | api $0.10/sec | |||
| 47 | 55±3 | api $0.050/sec | |||
| 108 | 38±3 | comparison only | |||
$ what it's good at
image to video▁▁▂▂██▄▃▃▄▂▂ #48 of 74 * · 96% of its score · 1 test
Trails Cosmos3-Nano, Kling 2.1 Master, HunyuanVideo 1.5 (I2V) here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Arena image-to-video | 1223.4 ✎ | ▁▁▁▁▄▇▃▆▃▂▄█ beats 8/40 | 96% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · LMArena leaderboard dataset 96%
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 |
|---|---|---|
| 1 | 96% | |
| prior · pull toward the middle | 4% | |
| weighted average | = 53.1 |
$ 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