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The LLM benchmark aggregator.

ChatGPT-4o

OpenAI

Strongest in Core abilities (#21 of 204, on 1 of its 3 boards), weakest in Coding (#72 of 164). Above par in 6 of 6 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5 and ahead of Qwen3.7 Max and Claude Opus 4.5.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Core abilities57.6#21/204
General intelligence60.9#22/204
Human preference61.1#69/341
Human preference61.1#69/341
Coding50.2#72/164
Agentic coding50.2#71/157

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for ChatGPT-4o, left for the other.

Qwen3.6 27Bwon 4 · lost 0
Kimi K2.7 Codewon 4 · lost 0
Ox Alphawon 4 · lost 0
Grok Build 0.1won 4 · lost 0
Mistral Small 4won 4 · lost 0
Mercury 2.5won 4 · lost 0
Nemotron 3 Superwon 4 · lost 0
Nemotron 3.5 Lightningwon 4 · lost 0
K2 Horizon 7Bwon 4 · lost 0
Ling 3.0 Flash Finwon 4 · lost 0
Nemotron 3 Ultrawon 4 · lost 0
Kimi K2 Thinkingwon 4 · lost 0
Llama 3 70B Instructwon 4 · lost 0
Gemma 3 4B Itwon 4 · lost 0
Magistral Mediumwon 4 · lost 0
Mercurywon 4 · lost 0
Gemma 3n E4b Itwon 4 · lost 0
Qwen Maxwon 4 · lost 0
GPT OSS 20Bwon 4 · lost 0
Llama 4 Scout Instructwon 4 · lost 0
DeepSeek V2.5won 4 · lost 0
Claude 3.5 Haikuwon 4 · lost 0
Yi Lightningwon 4 · lost 0
QwQ 32Bwon 4 · lost 0
GPT-4owon 4 · lost 0
O1 Miniwon 4 · lost 0
GPT-5 Nanowon 4 · lost 0
MiniMax M2won 4 · lost 0
Qwen Pluswon 4 · lost 0
Step 3won 4 · lost 0
GLM-4.5vwon 4 · lost 0
Mistral Smallwon 4 · lost 0
Trinity Largewon 4 · lost 0
GLM-4.5 Airwon 4 · lost 0
Gemini 2.5 Flash Litewon 4 · lost 0
Qwen3.5 Flashwon 4 · lost 0
Inkling Smallwon 4 · lost 0
Mistral Mediumwon 4 · lost 0
GLM-4.5won 4 · lost 0
MiniMax M2.7won 4 · lost 0
DeepSeek V3.1won 4 · lost 0
Qwen3.5 122B A10Bwon 4 · lost 0
DeepSeek V3.1 Terminuswon 4 · lost 0
Muse Glimmerwon 4 · lost 0
Grok 4.1 Fastwon 4 · lost 0
Mimo V2.5won 4 · lost 0
Longcat Flash Chatwon 4 · lost 0
GLM-4.7won 4 · lost 0
Qwen3.5 397B A17Bwon 4 · lost 0
Claude 3 Haikuwon 5 · lost 0
Granite 4.2 30Bwon 5 · lost 0
Granite 4.2 8Bwon 6 · lost 0
Granite 4.2 3Bwon 6 · lost 0
GPT-4o Miniwon 6 · lost 0
GPT-4.1 Nanowon 6 · lost 0
Qwen3 32Bwon 6 · lost 0
GPT OSS 120Bwon 6 · lost 0
Command Awon 6 · lost 0
Gemini 2.0 Flashwon 6 · lost 0
Gemma 3 27B Itwon 6 · lost 0
GPT-4.1 Miniwon 6 · lost 0
GPT-5 Miniwon 6 · lost 0
MiniMax M2.5won 6 · lost 0
GPT-5.4 Nanowon 6 · lost 0
Grok 4 Fastwon 6 · lost 0
Mistral Large 3won 6 · lost 0
Claude Haiku 4.5won 6 · lost 0
Qwen3 Maxwon 6 · lost 0
GLM-4.6won 6 · lost 0
DeepSeek V3.2won 6 · lost 0
Mistral Medium 3.5won 6 · lost 0
Gemini 3.1 Flash Litewon 6 · lost 0
MiniMax M3won 6 · lost 0
Inklingwon 6 · lost 0
Grok 4.3won 6 · lost 0
Qwen3.6 Pluswon 6 · lost 0
DeepSeek V3won 5 · lost 1
GPT-5.2won 5 · lost 1
K2 Horizon 3.7Bwon 3 · lost 1
Qwen3.6 35B A3Bwon 3 · lost 1
GPT-5.2 Codexwon 3 · lost 1
Qwen3.8 Flash Nextwon 3 · lost 1
Claude 3.5 Sonnetwon 3 · lost 1
Grok 3 Miniwon 4 · lost 2
O4 Miniwon 4 · lost 2
Claude Sonnet 4won 4 · lost 2
Gemini 2.5 Flashwon 4 · lost 2
Grok 3won 4 · lost 2
Grok 4won 4 · lost 2
GPT-4.1won 4 · lost 2
Kimi K2won 4 · lost 2
DeepSeek R1won 4 · lost 2
Claude Opus 4won 4 · lost 2
O3won 4 · lost 2
GPT-5won 4 · lost 2
Qwen3.8 27Bwon 4 · lost 2
DeepSeek V4 Flashwon 4 · lost 2
GPT-6 Lunawon 4 · lost 2
Gemini 2.5 Prowon 4 · lost 2
GPT-5.4 Miniwon 4 · lost 2
Gemini 3.5 Flash Litewon 4 · lost 2
Qwen3.7 Pluswon 4 · lost 2
Claude Sonnet 4.5won 4 · lost 2
Kimi K2.6won 4 · lost 2
Mimo V2.5 Prowon 4 · lost 2
Claude Opus 4.5won 4 · lost 2
Qwen3.7 Maxwon 4 · lost 2
Union Alphawon 2 · lost 2
K2 Horizon 375B A23Bwon 2 · lost 2
O3 Prowon 2 · lost 2
O3 Miniwon 2 · lost 2
MiniMax M2.1won 2 · lost 2
Claude 3.7 Sonnetwon 2 · lost 2
O1won 2 · lost 2
GPT-4.5won 2 · lost 2
GPT-5.1won 2 · lost 2
Hy3won 2 · lost 2
Qwen3.6 Maxwon 2 · lost 2
GLM-5.1won 2 · lost 2
GPT-5.5 Instantwon 2 · lost 2
Gemini 3 Flashwon 2 · lost 2
Muse Sparkwon 2 · lost 2
Gemma 4 31Bwon 3 · lost 3
Gemini 3.5 Flashwon 3 · lost 3
Gemini 3.1 Prowon 3 · lost 3
Grok 4.7won 2 · lost 4
Kimi K2.5won 2 · lost 4
Grok 4.6won 2 · lost 4
GPT-5.6 Lunawon 2 · lost 4
GLM-5won 2 · lost 4
Claude Sonnet 5won 2 · lost 4
DeepSeek V4 Prowon 2 · lost 4
Grok 4.5won 2 · lost 4
GPT-5.6 Terrawon 2 · lost 4
Grok 4.20won 2 · lost 4
Claude Sonnet 4.6won 2 · lost 4
GLM-5.3 Flashwon 2 · lost 4
GPT-5.4won 2 · lost 4
GLM-5.2won 2 · lost 4
GLM-5.3won 2 · lost 4
Gemini 3.6 Flashwon 2 · lost 4
Gemini 3 Prowon 2 · lost 4
Gemini 3.7 Flashwon 2 · lost 4
Claude Opus 5won 2 · lost 4
Muse Spark 1.1won 2 · lost 4
Gemini 3.8 Flashwon 2 · lost 4
Muse Spark 1.2won 2 · lost 4
Claude Opus 4.6won 2 · lost 4
Claude Opus 4.8won 1 · lost 5
GPT-5.6 Solwon 1 · lost 5
Claude Opus 4.7won 1 · lost 5
Mimo V2.6 Flashwon 0 · lost 4
GPT-6 Solwon 0 · lost 6
DeepSeek V4.1 Flashwon 0 · lost 6
GPT-6 Astrawon 0 · lost 6
Qwen3.8 Maxwon 0 · lost 6
Mimo V2.6 Prowon 0 · lost 6
GPT-5.5won 0 · lost 6
Kimi K3won 0 · lost 6
Muse Spark 1.3won 0 · lost 6
Claude Fable 5.1won 0 · lost 6
Claude Fable 5won 0 · lost 6
Claude Opus 5.5won 0 · lost 6

§ 3 · Sources

Where the numbers come from

3 publications, 3 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-27
LMArena Text 1443
Aider polyglot ↗1 measureread 2026-09-27
Aider polyglot 45.3%
Kagi LLM Benchmark ↗1 measureread 2026-09-27
Kagi LLM Benchmark 75%

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