whatmodel.sh / video / Seedance 1.5 Pro

Seedance 1.5 Pro is a closed-weights video model from ByteDance Seed, released December 2025. Licence: proprietary.

57.5±1.5#32 of 93 video modelsfrom 7 benchmark results across 5 sources

$ how it compares

The video models ranked either side of Seedance 1.5 Pro, out of 139 with a score, then more from ByteDance Seed.

#modelscorewhereRAMreleased
37Wan 2.1 I2V Plus Alibaba58±5api price unknown2025-01
38Cosmos3-Super NVIDIA58±4local~160GB2026-05
39Seedance 1.5 Pro ByteDance Seed58±2api $0.052/sec2025-12
40Kling 2.5 Turbo Pro Kuaishou57±2api $0.070/sec2025-09
41Runway Aleph Runway56±5comparison only2025-07
more from ByteDance Seed
5Dreamina Seedance 2.0 ByteDance Seed79±1api $0.30/sec2026-03
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▆▄▃▄▆▅█▃▂▂▂▄ #16 of 68 * · 45% of its score · 2 tests

Beats Wan 2.5 Preview, Kling 2.6 Pro, PixVerse V5.6 here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
LMArena video1256.0 ✎▂▂▃▆█▆·▆▅▁▂▇ beats 23/41avg 1147▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 39%typical
Cosmos HUE human evaluation, text-to-video (Cosmos 3 report)90.0% ✎█▄▄··▄▄▄▄▄·▄ beats 8/9easy · avg 85%▇▇ 6.0%typical
image to video▁▂·▂▅█▅▄▅▆▃▄ #37 of 50 · 47% of its score · 4 tests

Trails Cosmos3-Nano, Kling 2.1 Master, Hailuo 02 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image-to-video1307.2 ✎▁▁▁▁▄▇▃▆▃▂▄█ beats 20/40avg 1189▇▇▇▇▇▇▇▇▇▇ 26%typical
Rapidata physics realism (I2V, with reference)697.0 ✎▃··▂▂▆█▆▂▂▆▄ beats 0/19avg 741▇▇▇▇▇▇ 15%sharp
Cosmos HUE human evaluation, image-to-video (Cosmos 3 report)87.6% ✎▄·█··▄··▄▄▄█ beats 4/8easy · avg 84%▇▇ 4.9%typical
What-If World causal-intervention video generation (APEO paired average, Gemini 3.1 Pro judge)32.4% ✎█·▄····▄···█ beats 2/5hard · avg 27%▇ 2.1%blunt · at its level
other tests1 not in a task · 6.5% of its score
testresultvs the others in its rundifficultycountswhy
MindWorldBench intention accuracy (I2V mental-state reasoning)29.3% ✎▅·▃▅·█·▃···▃ beats 7/9hard · avg 21%▇▇▇ 6.5%at its level

$ where to run it

Through an API

api · fal.ai · $0.052/sec · fal.ai ↗ · price sourceUSD per second, 720p with audio, derived from fal's own figure that a 720p 5-second video with audio costs roughly $0.26 (÷ 5); provider-published approximation. Product: fal Seedance 1.5 Pro text-to-video endpoint. API model: fal-ai/bytedance/seedance/v1.5/pro/text-to-video. Underlying billing is per video token ($2.4/1M with audio, $1.2/1M without); no per-second figure is printed for other settings, 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 · LMArena leaderboard dataset 65%, Rapidata/world-model-physics… 15%, Cosmos 3: Omnimodal World Mod… 11% and 2 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