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Benchmarks · reasoning

ChessBench

LLMs play rated chess games against each other, one rating per model and reasoning effort; the value is a Glicko-2 rating within this benchmark's pool, qualified setups only.

18 models · 32 results · updated 2026-10-26 · chessbench.org ↗

Leaderboard

Chart settings
18 of 18 selected
Gemini 4 Argon medium

More from this benchmark

7 published measures

Breakdown

darker is better within each column · click a column to sort

All results

32 rows
#ModelEffortChessBench
1Gemini 4 Argonmedium2170 ±175
2Opus 5.5xhigh2102 ±161
3Sonnet 5.5xhigh2089 ±157
4Gemini 4 Argonhigh2088 ±171
5GPT-6 Astraxhigh2022 ±148
6Opus 5.5medium1997 ±150
7Fable 5.1xhigh1891 ±140
8GPT-6.1 Solxhigh1840 ±149
9Haiku 5.5xhigh1796 ±144
10GPT-6 Astramedium1767 ±138
11DeepSeek V4.1 Flash 1017max1687 ±142
12Sonnet 5.5medium1641 ±134
13GPT-6.1 Solmedium1630 ±138
14GPT-6.1 Terraxhigh1621 ±140
15DeepSeek V4.1 Flash 1017high1612 ±136
16Fable 5.1medium1602 ±132
17Haiku 5.5medium1584 ±134
18Grok 4.7xhigh1549 ±131
19Muse Spark 1.3medium1506 ±130
20GLM 5.3high1501 ±130
21GLM 5.3max1491 ±130
22GPT-6.1 Terramedium1451 ±134
23Muse Spark 1.3xhigh1426 ±130
24GPT-6 Lunaxhigh1421 ±134
25MiniMax M3.1xhigh1386 ±140
26MiMo V2.6 Flashhigh1345 ±134
27GLM 5.3 Flashhigh1327 ±136
28GLM 5.3 Flashmax1279 ±136
29MiniMax M3max1261 ±139
30MiniMax M3.1medium1189 ±148