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Seedance 1.0 Pro Fast

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Seedance 1.0 Pro Fast is a closed-weights video model from ByteDance.

61.7±10.6#25 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 Seedance 1.0 Pro Fast, out of 139 with a score, then more from ByteDance.

#modelscorewhereRAMreleased
30Veo 3 Google64±2comparison only2025-07
31Kling O3 Pro Kuaishou (Kling AI)64±4api $0.11/sec
32Seedance 1.0 Pro Fast ByteDance62±11api $0.049/sec
33Wan 2.5 Preview Alibaba61±2api $0.10/sec2025-09
34Kling 2.6 Pro Kuaishou (Kling AI)59±2api $0.070/sec2025-12
more from ByteDance
7Dreamina Seedance 2.5 ByteDance77±1api $0.30/sec2026-07

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

$ what it's good at

text to video▆▄▃▄▆▅█▃▃▂▂▄ #15 of 68 * · 53% of its score · 1 test
testresultvs the others in its rundifficultycountswhy
HumanScore (T2V)91.1% ✎▂··▂··█▄▂··▆ beats 11/11easy · avg 84%▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 53%blunt

$ where to run it

Through an API

api · fal.ai · $0.049/sec · fal.ai ↗ · price sourceUSD per second, 1080p, derived from fal's own figure that a 1080p 5-second video costs roughly $0.245 (÷ 5); provider-published approximation. Product: fal Seedance 1.0 Pro Fast text-to-video endpoint. API model: fal-ai/bytedance/seedance/v1/pro/fast/text-to-video. Underlying billing is $1 per 1M video tokens; no per-second figure is printed for other resolutions, so none is derived. Not the BytePlus direct tariff. Currency: USD. fal.ai model page, observed 2026-09-25.

$ how the score was worked out · HumanScore: Benchmarking Huma… 53%

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
HumanScore: Benchmarking Human Motions in Generated Videos1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 53%CC-BY-4.0
prior · pull toward the middle▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 47%
weighted average= 61.7

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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