whatmodel.sh / video / Seedance 1.0 Lite

Seedance 1.0 Lite

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Seedance 1.0 Lite is a closed-weights video model from ByteDance Seed.

48.4±1.8comparison only: no current run option verifiedfrom 4 benchmark results across 3 sources

$ how it compares

The video models ranked either side of Seedance 1.0 Lite, out of 139 with a score, then more from ByteDance Seed.

#modelscorewhereRAMreleased
71Open-Sora Plan v1.3 (T2V) Peking University (PKU-YuanGroup)49±7local~24GB2024-10
72Cosmos-1.0-Diffusion-7B-Video2World NVIDIA49±5comparison only2025-01
73Seedance 1.0 Lite ByteDance Seed48±2comparison only
74Cosmos-Predict2.5-2B NVIDIA48±2comparison only2025-10
75Cosmos-Predict2-14B-Video2World NVIDIA48±8comparison only2025-06
more from ByteDance Seed
5Dreamina Seedance 2.0 ByteDance Seed79±1api $0.30/sec2026-03
39Seedance 1.5 Pro ByteDance Seed58±2api $0.052/sec2025-12
43Seedance 1.0 Pro ByteDance Seed56±2api $0.052/sec2025-06

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

$ what it's good at

text to video▇▅▄▆█▆▇▂▃▃▂▄ #45 of 94 * · 61% of its score · 2 tests

Trails Wan 2.1 14B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena video1112.6 ✎▂▂▃▆█▆·▆▅▁▂▇ beats 5/41avg 1147▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 55%typical
VABench T2AV micro Visual QA72.7% ✎▄····▄····▄█ beats 1/4easy · avg 68%▇▇▇ 6.6%at its level
image to video▁▁▂▂██▄▃▃▄▂▂ #60 of 74 * · 37% of its score · 2 tests

Beats Wan 2.2 A14B, LTX-2 here, though they rank higher overall. Trails Hailuo 01 (MiniMax video-01 / I2V-01), Wan 2.2 TI2V 5B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena image-to-video1185.3 ✎▁▁▁▁▄▇▃▆▃▂▄█ beats 6/40avg 1189▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 36%typical
V-ReasonBench (average pass@5)10.7% ✎█·····▄···▄▄ beats 0/4hard · avg 17%▇ 1.4%noisy

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 91%, VABench: A Comprehensive Benc… 7%, V-ReasonBench: Toward Unified… 1%

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 dataset2▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 91%CC BY 4.0
VABench: A Comprehensive Benchmark for Audio-Video Generation (arXiv:2512.09299v2)1▇▇ 7%CC-BY-4.0
V-ReasonBench: Toward Unified Reasoning Benchmark Suite for Video Generation Models1▇ 1%CC-BY-4.0
prior · pull toward the middle▇ 1%
weighted average= 48.4

$ 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