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O3 Pro

OpenAI

Strongest in Agentic coding (#14 of 173, on 1 of its 5 boards), weakest in Safety (#304 of 327). Above par in 4 of 8 scopes. Among the models it meets almost everywhere, it finishes behind GPT-6 Astra and Gemini 4 Argon and ahead of Grok 4.7 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.

Coding58.8#16/179
Agentic coding59.7#14/173
Core abilities56.6#33/200
General intelligence59.5#30/180
Reasoning46#128/195
Reasoning42.9#99/147
Safety42.5#304/327
Factual grounding26#102/104

§ 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 O3 Pro, left for the other.

Mistral Medium 3.5won 5 · lost 0
Nemotron 3.5 Super VLwon 6 · lost 0
Smaug Nemotron 3.5won 6 · lost 0
Muse Spark Openwon 6 · lost 0
GPT-4o miniwon 6 · lost 1
GPT-4.1 nanowon 6 · lost 1
Gemini 2.0 Flashwon 6 · lost 1
GPT-4.1 miniwon 6 · lost 1
Gemini 3.5 Flash-Litewon 5 · lost 1
Inkling Smallwon 5 · lost 1
Beam 1.0won 5 · lost 1
O1 Miniwon 4 · lost 1
GPT-4.5won 4 · lost 1
O3 Miniwon 4 · lost 1
Magistral Smallwon 4 · lost 1
Magistral Mediumwon 4 · lost 1
Ox Alphawon 4 · lost 1
Grok Build 0.1won 4 · lost 1
MiniMax M2won 4 · lost 1
Qwen3.8 Flash Nextwon 4 · lost 1
Gemma 4 31Bwon 6 · lost 2
Mistral Large 3won 6 · lost 2
Kimi K2won 6 · lost 2
DeepSeek V3won 6 · lost 2
GPT-4.1won 6 · lost 2
Gemini 2.5 Flashwon 6 · lost 2
Grok 3won 6 · lost 2
Command Awon 5 · lost 2
MiniMax M3won 5 · lost 2
GLM-5.3 Flashwon 5 · lost 2
MiMo V2.6 Prowon 5 · lost 2
Grok 3 Miniwon 5 · lost 2
GPT-4owon 4 · lost 2
Kimi K2.7 Codewon 4 · lost 2
Claude Haiku 5.5won 4 · lost 2
Step 5won 4 · lost 2
Llama 4 Scout Instructwon 4 · lost 2
Gemma 3 27B ITwon 4 · lost 2
Qwen3.8 27Bwon 4 · lost 2
MiniMax M3.1 Flashwon 4 · lost 2
MiMo V2.6 Flashwon 4 · lost 2
Qwen3 32Bwon 4 · lost 2
Inkling 2 Smallwon 4 · lost 2
Muse Emberwon 4 · lost 2
Kimi K3won 4 · lost 2
GPT OSS 120Bwon 5 · lost 3
DeepSeek V3.2won 5 · lost 3
DeepSeek R1won 5 · lost 3
GPT-5 miniwon 5 · lost 3
Claude 3.5 Sonnetwon 3 · lost 2
Claude 3.7 Sonnetwon 3 · lost 2
Grok 4.3won 3 · lost 2
Gemini 2.5 Flash-Litewon 3 · lost 2
Muse Spark 1.1won 3 · lost 2
Muse Spark 1.2won 3 · lost 2
GPT-5.6 Lunawon 4 · lost 3
GPT-6 Lunawon 4 · lost 3
Mistral Large 4won 4 · lost 3
Inklingwon 4 · lost 3
GLM-4.6won 4 · lost 3
GLM-5.2won 4 · lost 3
DeepSeek V4 Flashwon 4 · lost 3
MiniMax M2.5won 4 · lost 3
GPT-5.6 Terrawon 4 · lost 3
Gemini 3.8 Flashwon 4 · lost 3
Grok 4.6won 4 · lost 3
Kimi K2 Thinkingwon 4 · lost 3
Qwen3.8 Maxwon 4 · lost 3
Gemini 3.1 Flash-Litewon 4 · lost 3
Grok 4.7won 4 · lost 3
Grok 4.1 Fastwon 3 · lost 3
Claude Haiku 4.5won 3 · lost 3
MiniMax M2.1won 3 · lost 3
Claude Sonnet 5won 3 · lost 3
Kimi K2.6won 3 · lost 3
GPT-5 nanowon 3 · lost 3
Claude Sonnet 5.5won 3 · lost 3
Qwen3.7 Maxwon 3 · lost 3
Kimi K3.1 Prowon 3 · lost 3
Muse Spark 1.3won 3 · lost 3
GPT-5.4 miniwon 4 · lost 4
GPT-5.4 nanowon 4 · lost 4
DeepSeek V4 Prowon 4 · lost 4
Claude Sonnet 4.5won 4 · lost 4
Grok 4 Fastwon 4 · lost 4
GPT-5.4won 4 · lost 4
O4 Miniwon 4 · lost 4
Gemini 2.5 Prowon 4 · lost 4
Claude Sonnet 4.6won 3 · lost 4
GPT-6 Solwon 3 · lost 4
O3won 3 · lost 4
MiniMax M2.7won 2 · lost 3
Qwen 3.5 Pluswon 2 · lost 3
Qwen3.5 Flashwon 2 · lost 3
GLM-5.1won 2 · lost 3
O1won 2 · lost 3
Qwen3 Maxwon 2 · lost 3
Gemini 3.7 Flashwon 2 · lost 3
GPT-5.2won 3 · lost 5
Claude Opus 4.5won 3 · lost 5
Claude Opus 4.7won 3 · lost 5
Claude Opus 4.6won 3 · lost 5
Gemini 3 Flashwon 2 · lost 4
GPT-5.1won 2 · lost 4
GLM-4.7won 2 · lost 4
DeepSeek V3.1won 2 · lost 4
GLM-5.3won 2 · lost 4
Gemini 3.6 Flashwon 2 · lost 4
Grok 4.20won 2 · lost 4
Gemini 3.5 Flashwon 2 · lost 4
GPT-6.1 Terrawon 2 · lost 4
Claude Fable 5.2won 2 · lost 4
Grok 4won 2 · lost 5
Grok 4.5won 2 · lost 5
Claude Opus 4.8won 2 · lost 5
Gemini 3.1 Prowon 2 · lost 5
DeepSeek V4.1 Flashwon 2 · lost 6
GPT-5won 2 · lost 6
Claude Sonnet 4won 2 · lost 6
Claude Opus 4won 2 · lost 6
GLM-5won 2 · lost 6
Kimi K2.5won 2 · lost 6
Gemini 3 Prowon 2 · lost 6
GPT-5.5won 2 · lost 6
Claude Opus 5won 1 · lost 5
Muse Wonderwon 1 · lost 5
GPT-5.6 Solwon 1 · lost 7
Muse Wonder Fullwon 0 · lost 5
Claude Fable 5.1won 0 · lost 6
GPT-6.1 Solwon 0 · lost 6
Claude Fable 5won 0 · lost 6
Gemini 4 Carbonwon 0 · lost 6
Claude Opus 5.5won 0 · lost 8
Gemini 4 Argonwon 0 · lost 8
GPT-6 Astrawon 0 · lost 8

§ 3 · Sources

Where the numbers come from

4 publications, 4 figures. Every one links to the page it was read from.

ARC-AGI-2 ↗1 measureread 2026-11-11
ARC-AGI-2 4.9%
Aider polyglot ↗1 measureread 2026-11-11
Aider polyglot 84.9%
Kagi LLM Benchmark ↗1 measureread 2026-11-11
Kagi LLM Benchmark 72.1%
Vectara · Factual consistency 76.7%

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