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GPT-5 Pro

OpenAI

Strongest in General intelligence (#13 of 204, on 1 of its 3 boards), weakest in Reasoning (#81 of 178). Above par in 4 of 4 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and GPT-6 Astra and ahead of Qwen3 Max and Gemini 3.1 Flash Lite.

§ 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 abilities58.2#16/204
General intelligence61.8#13/204
Reasoning51.3#81/178
Reasoning51.8#54/140

§ 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 GPT-5 Pro, left for the other.

K2 Horizon 0.9Bwon 3 · lost 0
Command Awon 3 · lost 0
Granite 4.2 3Bwon 3 · lost 0
Mistral Medium 3.5won 3 · lost 0
Granite 4.2 8Bwon 3 · lost 0
Mercury 2.5won 3 · lost 0
Nemotron 3 Superwon 3 · lost 0
Mistral Smallwon 3 · lost 0
GPT OSS 20Bwon 3 · lost 0
Gemini 2.5 Flash Litewon 3 · lost 0
K2 Horizon 3.7Bwon 3 · lost 0
Qwen3.6 35B A3Bwon 3 · lost 0
Mimo V2.5 Prowon 3 · lost 0
K2 Horizon 375B A23Bwon 3 · lost 0
Gemma 4 31Bwon 3 · lost 0
Qwen3.6 27Bwon 4 · lost 0
Grok 4.3won 4 · lost 0
Gemini 3.5 Flash Litewon 4 · lost 0
Magistral Smallwon 4 · lost 0
Magistral Mediumwon 4 · lost 0
GPT-5.4 Miniwon 4 · lost 0
GPT-5.4 Nanowon 4 · lost 0
Kimi K2.7 Codewon 4 · lost 0
Ox Alphawon 4 · lost 0
Qwen3.6 Pluswon 4 · lost 0
Kimi K2.6won 4 · lost 0
Grok Build 0.1won 4 · lost 0
GPT-4o Miniwon 4 · lost 0
GPT-4.1 Nanowon 4 · lost 0
MiniMax M3won 4 · lost 0
Mistral Large 3won 4 · lost 0
Llama 4 Scout Instructwon 4 · lost 0
Gemini 2.0 Flashwon 4 · lost 0
Claude Haiku 4.5won 4 · lost 0
GLM-5.3 Flashwon 4 · lost 0
Inklingwon 4 · lost 0
GPT OSS 120Bwon 4 · lost 0
GLM-5.2won 4 · lost 0
GPT-5.2 Codexwon 4 · lost 0
GPT-4.1 Miniwon 4 · lost 0
Nemotron 3 Ultrawon 4 · lost 0
Kimi K2won 4 · lost 0
DeepSeek V3.2won 4 · lost 0
DeepSeek V3won 4 · lost 0
GPT-4.1won 4 · lost 0
DeepSeek V3.1won 4 · lost 0
Gemini 2.5 Flashwon 4 · lost 0
MiniMax M2won 4 · lost 0
Qwen3.8 27Bwon 4 · lost 0
Grok 3 Miniwon 4 · lost 0
Grok 3won 4 · lost 0
GPT-5 Nanowon 4 · lost 0
Kimi K2 Thinkingwon 4 · lost 0
O4 Miniwon 4 · lost 0
DeepSeek R1won 4 · lost 0
O3 Prowon 4 · lost 0
Claude Sonnet 4won 4 · lost 0
Claude Opus 4won 4 · lost 0
GPT-6 Lunawon 3 · lost 1
Union Alphawon 3 · lost 1
MiniMax M2.5won 3 · lost 1
Claude Sonnet 4.5won 3 · lost 1
Claude Opus 4.5won 3 · lost 1
GPT-5.2won 3 · lost 1
Grok 4 Fastwon 3 · lost 1
Qwen3.8 Flash Nextwon 3 · lost 1
O3won 3 · lost 1
Gemini 2.5 Prowon 3 · lost 1
GPT-5 Miniwon 3 · lost 1
GPT-5won 3 · lost 1
GLM-5won 3 · lost 1
Grok 4.7won 3 · lost 1
GLM-4.6won 2 · lost 1
K2 Horizon 7Bwon 2 · lost 1
GLM-4.5won 2 · lost 1
Gemini 3.1 Flash Litewon 2 · lost 1
Qwen3 Maxwon 2 · lost 1
GPT-5.6 Lunawon 2 · lost 2
Claude Sonnet 4.6won 2 · lost 2
Muse Spark 1.1won 2 · lost 2
Claude Sonnet 5won 2 · lost 2
Gemini 3.6 Flashwon 2 · lost 2
DeepSeek V4 Flashwon 2 · lost 2
Qwen3.7 Maxwon 2 · lost 2
Gemini 3.5 Flashwon 2 · lost 2
Claude Opus 4.6won 2 · lost 2
GLM-5.3won 2 · lost 2
DeepSeek V4 Prowon 2 · lost 2
Muse Spark 1.2won 2 · lost 2
Claude Opus 4.7won 2 · lost 2
GPT-5.6 Terrawon 2 · lost 2
Claude Opus 5won 2 · lost 2
Qwen3.8 2.4T A95Bwon 2 · lost 2
Gemini 3.8 Flashwon 2 · lost 2
GPT-5.4won 2 · lost 2
Grok 4.5won 2 · lost 2
Grok 4won 2 · lost 2
Gemini 3.7 Flashwon 2 · lost 2
Grok 4.6won 2 · lost 2
Grok 4.20won 2 · lost 2
DeepSeek V4.1 Flashwon 2 · lost 2
Claude Opus 4.8won 1 · lost 3
Qwen3.8 Maxwon 1 · lost 3
Kimi K2.5won 1 · lost 3
Gemini 3.1 Prowon 1 · lost 3
GPT-5.6 Solwon 1 · lost 3
Mimo V2.6 Prowon 0 · lost 3
Gemini 3 Prowon 0 · lost 4
Kimi K3won 0 · lost 4
GPT-6 Solwon 0 · lost 4
Claude Opus 5.5won 0 · lost 4
Muse Spark 1.3won 0 · lost 4
GPT-5.5won 0 · lost 4
Claude Fable 5.1won 0 · lost 4
GPT-6 Astrawon 0 · lost 4
Claude Fable 5won 0 · lost 4

§ 3 · Sources

Where the numbers come from

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

ARC-AGI-2 ↗1 measureread 2026-09-27
ARC-AGI-2 18.3%
Kagi LLM Benchmark ↗1 measureread 2026-09-27
Kagi LLM Benchmark 76.8%
SimpleBench ↗1 measureread 2026-09-27
SimpleBench 61.6%

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