whatmodel.sh / Qwen3.7 Max Preview

Qwen3.7 Max Preview

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Qwen3.7 Max Preview is a closed-weights language model from Alibaba. Licence: proprietary.

Catalogue identity notes

Comparison-only. Arena entry 'qwen3.7-max-preview' (text), the preview of Qwen3.7 Max; the GA model's own Arena entry is 'qwen3.7-max-20260517' (WebDev only). Moved off the GA id in the 2026-10-07 successor audit.

73.6±3.3comparison only: no current run option verifiedfrom 1 benchmark result across 1 source* thinly tested, treat the rank as provisional

$ how it compares

The LLMs ranked either side of Qwen3.7 Max Preview, out of 1132 with a score, then more from Alibaba.

#modelscorewhereRAMreleased
60Seed 2.1 Pro (Preview) ByteDance Seed74±3comparison only2026-06
61Dola Seed 2.0 Pro ByteDance74±2comparison only
62Qwen3.7 Max Preview Alibaba74±3comparison only
63Qwen3.8 27B Alibaba73±1api $1.60/M +local~18GB2026-08
64Laguna S 2.1 (118B-A8B) Poolside73±4local~71GB2026-07
more from Alibaba
18Qwen3.8 Max (2.4T-A95B) Alibaba78±1api $3.00/M +local~380GB2026-08
34Qwen3.8 Max (0902) Alibaba76±1api $3.00/M2026-09
37Qwen3.8-Flash-Next Alibaba75±1local~59GB2026-08

see all LLMs · find the ones that fit your machine

$ what it's good at

chat & writing▁▁▁▃▅▅▆█▆▆▆▂ #30 of 579 * · 95% of its score · 1 test

Beats Claude Sonnet 5.5, GPT-6 Sol, GPT-5.6 Terra here, though they rank higher overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1474.9 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 350/379avg 1268▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 95%blunt

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 95%

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 dataset1▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 95%CC BY 4.0
prior · pull toward the middle▇ 5%
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