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Seaweed-7B

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Seaweed-7B is a closed-weights video model from ByteDance Seed, released April 2025. Its published size is 7B parameters. Licence: proprietary.

Catalogue identity notes

Research model described in arXiv 2504.08685 (7B parameters, 11 Apr 2025); no public weights or API.

50.3±6.2comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

$ how it compares

The video models ranked either side of Seaweed-7B, out of 139 with a score, then more from ByteDance Seed.

#modelscorewhereRAMreleased
63LongCat-Video Meituan51±2api $0.040/sec +local~100GB2025-10
64Kandinsky 6.0 Video Lite Sber51±7local~34GB2026-10
65Seaweed-7B ByteDance Seed50±6comparison only2025-04
66Luma Dream Machine 1.6 Luma AI50±7comparison only2024-09
67Wan 2.2 A14B Alibaba50±2api $0.080/sec +local~31GB2025-07
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

image to video▁▁▂▂██▄▃▃▄▂▂ #53 of 74 * · 84% of its score · 1 test

Beats HunyuanVideo 1.5 here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
MagicArena image-to-video Elo (Seaweed-7B report) lab1047.0 ✎▄·····▄█··▄▄ beats 4/5avg 1043▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 84%typical

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · Seaweed-7B: Cost-Effective Tr… 84%

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
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model · lab-reported1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 84%CC-BY-4.0
prior · pull toward the middle▇▇▇▇▇ 16%
weighted average= 50.3

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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