whatmodel.sh / video / Vidu Q3
Vidu Q3
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Vidu Q3 is a closed-weights video model from Shengshu, released January 2026.
Model information sources
$ how it compares
The video models ranked either side of Vidu Q3, out of 139 with a score.
| # | model | score | where |
|---|---|---|---|
| 48 |  Hailuo 2.3 | 55±2 | api $0.047/sec |
| 49 |  Ray 3 | 55±2 | comparison only |
| 50 | Vidu Q3 | 54±12 | comparison only |
| 51 |  Kling 2.1 Standard | 54±3 | api $0.050/sec |
| 52 | Hailuo 02 | 54±2 | api $0.047/sec |
$ what it's good at
image to video▁▁▂▂██▄▃▃▄▂▂ #36 of 74 * · 42% of its score · 1 test
Beats Seedance 1.5 Pro, Wan 2.2 I2V A14B, P-Video here, though they rank higher overall. Trails Cosmos3-Nano here, though they rank lower overall.
| test | result | vs the others in its run | counts |
|---|---|---|---|
| Rapidata camera movement (I2V) | 877.6 ✎ | ▄···▄▄▄█··▄█ beats 1/8 | 42% |
$ where to run it
No verified API or download recorded yet · add one
$ how the score was worked out · Rapidata/camera-movement publ… 42%
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 |
|---|---|---|
 Rapidata/camera-movement published dataset-card rankings | 1 | 42% |
| prior · pull toward the middle | 58% | |
| weighted average | = 53.8 |
$ 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