whatmodel.sh / video / Sora 2 Pro

Sora 2 Pro

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Sora 2 Pro is a closed-weights video model from OpenAI, released October 2025. Licence: proprietary.

68.3±2.4comparison only: no current run option verifiedfrom 2 benchmark results across 2 sources* thinly tested, treat the rank as provisional

$ how it compares

The video models ranked either side of Sora 2 Pro, out of 139 with a score, then more from OpenAI.

#modelscorewhereRAMreleased
18Kling 3.0 Pro Kuaishou69±2api $0.11/sec2026-02
19Veo 3.1 Google69±1api $0.40/sec2025-10
20Sora 2 Pro OpenAI68±2comparison only2025-10
21Veo 3.1 Fast Google68±1api $0.10/sec2025-10
22Kling 3.0 Kuaishou (Kling AI)68±4api $0.084/sec2026-02
more from OpenAI
27Sora 2 OpenAI65±2comparison only2025-10
98Sora (original, 2024) OpenAI42±2comparison only2024-12

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

$ what it's good at

text to video▇▅▄▆█▆▇▂▃▃▂▄ #11 of 94 * · 96% of its score · 1 test

Beats Grok Imagine Video, Veo 3.1 here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
LMArena video1367.8 ✎▂▂▃▆█▆·▆▅▁▂▇ beats 32/41avg 1147▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 96%typical
other tests1 not in a task · 1.8% of its score
testresultvs the others in its rundifficultycountswhy
ViGoR-Bench zero-shot visual reasoning, video generators (Result Avg)17.8% ✎█··█·······█ beats 0/2hard · avg 16%▇ 1.8%blunt · at its level · noisy · small run

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 96%, ViGoR-Bench: How Far Are Visu… 2%

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
ViGoR-Bench: How Far Are Visual Generative Models From Zero-Shot Visual Reasoners? (arXiv:2603.25823v1)1▇ 2%CC-BY-4.0
prior · pull toward the middle▇ 2%
weighted average= 68.3

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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