whatmodel.sh / video / Vidu Q2 Turbo

Vidu Q2 Turbo

+ contribute
Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

Vidu Q2 Turbo is a closed-weights video model from ShengShu (Vidu), released September 2025.

Model information sources

Release date ↗

55.0±2.9#39 of 93 video modelsfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

$ how it compares

The video models ranked either side of Vidu Q2 Turbo, out of 139 with a score, then more from ShengShu (Vidu).

#modelscorewhereRAMreleased
45Wan 2.6 Flash Alibaba55±7api $0.025/sec2026-01
46P-Video Pruna55±2api $0.020/sec2026-02
47Vidu Q2 Turbo ShengShu (Vidu)55±3api $0.050/sec2025-09
48Hailuo 2.3 MiniMax55±2api $0.047/sec2025-10
49Ray 3 Luma AI55±2comparison only2025-09
more from ShengShu (Vidu)
24Vidu Q3 Pro ShengShu (Vidu)65±2api $0.10/sec2026-01
54Vidu Q2 Pro ShengShu (Vidu)53±3comparison only2025-09
108Vidu 1.5 ShengShu (Vidu)38±3comparison only2024-11

see all video models · find the ones that fit your machine

$ what it's good at

image to video▁▂·▂▅█▅▄▅▆▃▄ #33 of 50 * · 96% of its score · 1 test

Beats Seedance 1.5 Pro, P-Video here, though they rank higher overall. Trails Cosmos3-Nano, Hailuo 2.3 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image-to-video1243.6 ✎▁▁▁▁▄▇▃▆▃▂▄█ beats 13/40avg 1189▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 96%typical

$ where to run it

Through an API

api · fal.ai · $0.050/sec · fal.ai ↗ · price sourceUSD per second of generated video at 720p on fal.ai: fal states 'For 720p each video second will cost $0.05' (1080p: $0.20 per request plus $0.05 per video second). Product: fal Vidu Q2 Turbo image-to-video endpoint. API model: fal-ai/vidu/q2/image-to-video/turbo. Settings: resolution=720p, image-to-video. Price basis: per-second rate printed by fal. Vidu's own API prices Q2-turbo 720P per task (starts at $0.04, $0.05 at 2 s, then +$0.05/s), which has no single per-second figure. Currency: USD. Not a Vidu direct tariff. fal.ai model page, observed 2026-09-26.

$ 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

sourceresultsshare of the scorelicence
LMArena leaderboard dataset1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 96%CC BY 4.0
prior · pull toward the middle▇ 4%
weighted average= 55.0

$ improve this page

Update model informationAdd a place to run itAdd a test resultPropose a benchmarkCorrect a benchmark scoreEdit data on GitHub

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