whatmodel.sh / video / Dreamina Seedance 2.0

Dreamina Seedance 2.0 is a closed-weights video model from ByteDance Seed, released March 2026. Licence: proprietary.

78.5±1.3#5 of 93 video modelsfrom 12 benchmark results across 9 sources

$ how it compares

The video models ranked either side of Dreamina Seedance 2.0, out of 139 with a score, then more from ByteDance Seed.

#modelscorewhereRAMreleased
3Gemini Omni Flash Google80±2api $0.10/sec2026-05
4Wan 3.0 Alibaba79±2api $0.10/sec2026-08
5Dreamina Seedance 2.0 ByteDance Seed79±1api $0.30/sec2026-03
6MiniMax H3 MiniMax78±1api $0.13/sec +local~40GB2026-07
7Dreamina Seedance 2.5 ByteDance77±1api $0.30/sec2026-07
more from ByteDance Seed
39Seedance 1.5 Pro ByteDance Seed58±2api $0.052/sec2025-12
43Seedance 1.0 Pro ByteDance Seed56±2api $0.052/sec2025-06
65Seaweed-7B ByteDance Seed50±6comparison only2025-04

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

$ what it's good at

text to video▆▄▃▄▆▅█▃▂▂▂▄ #4 of 68 * · 30% of its score · 2 tests

Beats Wan 3.0 here, though they rank higher overall. Trails FLUX 3 Video here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena video1479.2 ✎▂▂▃▆█▆·▆▅▁▂▇ beats 38/41avg 1147▇▇▇▇▇▇▇▇▇▇▇ 28%typical
Sci-VBench testmini (expert human rating)58.8% ✎▅·▃█▃·▅▃▅▃▃▃ beats 12/14hard · avg 44%▇ 2.5%blunt · at its level
image to video▁▂·▂▅█▅▄▅▆▃▄ #4 of 50 · 56% of its score · 6 tests

Beats Wan 3.0 here, though they rank higher overall. Trails MiniMax H3 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
WorldReasonBench human Elo (image+text-to-video world-state prediction)1471.0 ✎▃▃··█··▃▃▃·▃ beats 8/8avg 875▇▇▇▇▇▇▇▇ 19%sharp
Arena image-to-video1474.6 ✎▁▁▁▁▄▇▃▆▃▂▄█ beats 36/40avg 1189▇▇▇▇▇▇▇ 18%typical
Rapidata physics realism (I2V, with reference)1268.0 ✎▂··▂▂▆█▆▂▂▆▄ beats 16/19avg 741▇▇▇▇ 11%sharp
VGI-Bench visual reasoning (I2V)51.0% ✎▄▄···▄▄█·█·▄ beats 8/8hard · avg 20%▇▇ 3.8%at its level
VWG-Bench think-with-video reasoning (overall)70.4% ✎█··▄······▄█ beats 4/5medium · avg 50%▇ 2.4%at its level
What-If World causal-intervention video generation (APEO paired average, Gemini 3.1 Pro judge)41.8% ✎█·▄····▄···█ beats 3/5hard · avg 27%▇ 1.7%blunt · at its level
video editing▄··█··▄··█▄█ #5 of 9 * · 5.7% of its score · 1 test

Trails Dreamina Seedance 2.5, MiniMax H3 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena video edit1364.6 ✎█··█··▄··█▄█ beats 5/9avg 1117▇▇ 5.7%typical
other tests3 not in a task · 7.1% of its score
testresultvs the others in its rundifficultycountswhy
SWITCH interactive-interface I2V (VLM-judge overall)52.8% ✎███··█·····█ beats 4/4very hard · avg 28%▇▇ 4.7%at its level
VideoArgus-Bench TI2V (rubric-grounded score)89.7% ✎█··▄▄▄▄····▄ beats 6/6easy · avg 77%▇ 1.2%blunt
VideoArgus-Bench T2V (rubric-grounded score)93.4% ✎█▄·▄█▄▄····▄ beats 8/8easy · avg 82%▇ 1.2%blunt · maxed out

$ where to run it

Through an API

api · fal.ai · $0.30/sec · fal.ai ↗ · price sourceUSD per second of generated 720p video on fal.ai (standard, not fast tier). Product: fal Seedance 2.0 text-to-video endpoint. API model: bytedance/seedance-2.0/text-to-video. Settings: resolution=720p (endpoint default), audio on or off (fal states the cost is the same either way). Price basis: per-second figure printed by fal; fal bills $0.014 per 1,000 tokens underneath. 1080p $0.682/s; fast tier 720p $0.2419/s. Not the BytePlus direct tariff. Currency: USD. fal.ai model page, observed 2026-09-25.

$ how the score was worked out · LMArena leaderboard dataset 52%, WorldReasonBench: Human-Align… 19%, Rapidata/world-model-physics… 11% and 6 more

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

$ 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