whatmodel.sh / GPT-5.3 Chat (Arena 2026-10-02)

GPT-5.3 Chat (Arena 2026-10-02)

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GPT-5.3 Chat (Arena 2026-10-02) is a closed-weights language model from OpenAI. Licence: proprietary.

Catalogue identity notes

Exact Arena entry 'gpt-5.3-chat-latest' in the October 2026 pinned dataset. Comparison identity; no public run route inferred from leaderboard inclusion.

70.7±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 GPT-5.3 Chat (Arena 2026-10-02), out of 1132 with a score, then more from OpenAI.

#modelscorewhereRAMreleased
89GPT-5.1 OpenAI71±1api $3.44/M2025-11
90GLM-5.1 Z.ai71±1api $2.15/M +local~119GB2026-04
91GPT-5.3 Chat (Arena 2026-10-02) OpenAI71±3comparison only
92Qwen3.5 397B-A17B Alibaba71±0api $1.09/M +local~65GB2026-02
93ERNIE 5.0 Preview (1203) Baidu71±3comparison only2025-12
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

chat & writing▁▁▁▃▅▅▆█▆▆▆▂ #67 of 579 * · 95% of its score · 1 test

Beats GPT-6 Luna, Grok 4.7, GPT-5.2 here, though they rank higher overall. Trails Gemma 4 31B, Claude Sonnet 4.5, Gemini 3.5 Flash-Lite here, though they rank lower overall.

testresultvs the others in its rundifficultycountswhy
LMArena (text)1450.0 ✎▁▁▁▂▃▃▃▆▆▇█▃ beats 314/379avg 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= 70.7

$ 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