whatmodel.sh / GPT-5.1-Codex-Mini

GPT-5.1-Codex-Mini

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GPT-5.1-Codex-Mini is a closed-weights language model from OpenAI, released November 2025.

Catalogue identity notes

Comparison-only. Arena entry 'gpt-5.1-codex-mini' (webdev). Released 2025-11: OpenAI API changelog, Nov 13 (2025): 'Released gpt-5.1-codex and gpt-5.1-codex-mini to the Responses API'. Shut down 2026-07-23.

61.5±2.5comparison 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 GPT-5.1-Codex-Mini, out of 1132 with a score, then more from OpenAI.

#modelscorewhereRAMreleased
260Gemini 2.5 Flash-Lite Preview (06-17) Google62±2comparison only2025-06
261Gemini 2.5 Flash Google62±1api $0.85/M2025-06
262GPT-5.1-Codex-Mini OpenAI62±3comparison only2025-11
263MiniMax-M1 (40k) MiniMax61±1comparison only2025-06
264QwQ-Plus Alibaba61±2api $1.20/M2025-04
more from OpenAI
1GPT-6 Astra OpenAI87±1api $20.00/M2026-09
3GPT-6.1 Sol OpenAI85±1api $4.00/M2026-09
7GPT-6 Sol OpenAI83±1api $4.00/M2026-09

see all LLMs · find the ones that fit your machine

$ what it's good at

coding▁▁▁▃▅▇█▇▅▄▂▁ #194 of 549 * · 97% of its score · 1 test

Beats Gemini 2.5 Pro, Qwen3-Coder-Next (80B-A3B), Qwen3-VL 235B-A22B Instruct here, though they rank higher overall. Trails QwQ-32B-Preview, Ministral 3 8B Reasoning 2512, Phi-4-reasoning 14B here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
Arena WebDev (Code Arena)1243.6 ✎▁▂▄▃▅█▄▇▆▄▁▁ beats 12/119avg 981▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 97%sharp

$ where to run it

No verified API or download recorded yet · add one

$ how the score was worked out · LMArena leaderboard dataset 97%

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▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇▇ 97%CC BY 4.0
prior · pull toward the middle▇ 3%
weighted average= 61.5

$ 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