whatmodel.sh / Dola Seed 2.0 Pro

Dola Seed 2.0 Pro

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Dola Seed 2.0 Pro is a closed-weights language model from ByteDance. Licence: proprietary.

Catalogue identity notes

Exact Arena entry 'dola-seed-2.0-pro' in the October 2026 pinned dataset. Comparison identity; no public run route inferred from leaderboard inclusion.

73.6±2.1comparison only: no current run option verifiedfrom 3 benchmark results across 2 sources

$ how it compares

The LLMs ranked either side of Dola Seed 2.0 Pro, out of 828 with a score.

#modelscorewhereRAMreleased
56Gemini 3.6 Flash Google74±1api $1.50/M2026-07
57GLM-5.2 Z.ai74±1api $2.15/M +local~121GB2026-06
58Dola Seed 2.0 Pro ByteDance74±2comparison only
59Qwen3.8 27B Alibaba73±1api $1.60/M +local~18GB2026-08
60Grok 4.20 Multi-Agent (0309) SpaceXAI (xAI)73±2api $1.56/M2026-03

see all LLMs · find the ones that fit your machine

$ what it's good at

agent tasks······█····· #1 of 1 * · 33% of its score · 1 test
testresultvs the others in its rundifficultycountswhy
τ²-bench Telecom lab94.2% ✎▁·▅█▆▅▂▃▃▂▃▁ beats 73/89hard · avg 25%▇▇▇▇▇▇▇▇▇▇▇▇▇ 33%sharp · small run
chat & writing▁▁▁▃▅▄▆█▇▇▇▃ #49 of 463 * · 38% of its score · 1 test

Beats MiMo-V2.6-Flash (309B-A15B), GPT-6 Luna, GPT-5.6 Luna here, though they rank higher overall. Trails Claude Sonnet 4.5, MiMo-V2.5-Pro (1T-A42B), GLM-5 here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1456.5 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 326/379avg 1268▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 38%blunt
vision & documents▁▁▃▃▂▃▅▄▇▇█▃ #45 of 182 * · 26% of its score · 1 test

Beats MiMo-V2.6-Pro, MiMo-V2.6-Flash (309B-A15B), DeepSeek V4 Flash Vision (Exp) here, though they rank higher overall. Trails Qwen3.6 Flash, Gemini 3.5 Flash-Lite, Qwen3.6 Plus here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena vision (style controlled)1256.6 ✎▁▁▂▂▂▂▄▅▅▆██ beats 107/145avg 1068▇▇▇▇▇▇▇▇▇▇▇ 26%blunt

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 65%, ByteDance Seed - Seed2.0 Mode… 33%

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▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 65%CC BY 4.0
ByteDance Seed - Seed2.0 Model Card (arXiv:2607.00248v1) · lab-reported1▇▇▇▇▇▇▇▇▇▇ 33%CC BY 4.0
prior · pull toward the middle▇ 2%
weighted average= 73.6

$ 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