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O3 Mini

OpenAI

Strongest in Code generation (#7 of 20), weakest in Agents (#283 of 298). Above par in 13 of 24 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Grok 3 and O1 Mini.

§ 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.

Coding55#37/179
Code generation57.2#7/20
Agentic coding53.9#49/173
Safety55.3#46/329
Harm refusal57.3#29/292
Jailbreak resistance60.4#39/268
Safe-prompt compliance49.9#56/82
Secure code58#83/270
Fairness51.2#98/292
Toxicity avoidance52.3#165/268
Reasoning45.9#129/195
Mathematics55.4#48/152
Science49.6#77/122
Reasoning36.6#136/147
Professional47.3#132/194
Medical56#34/149
Legal44.9#121/173
Finance42.8#132/162
Knowledge48.7#133/197
Academic knowledge46.8#94/123
Human preference53.2#164/354
Human preference53.2#164/354
Agents40.4#283/298
Knowledge work34.6#186/208

§ 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 Mini, left for the other.

Jamba 1.6 Miniwon 15 · lost 0
Command R+won 17 · lost 0
Gemini 1.5 Flashwon 16 · lost 1
Jamba 1.6 Largewon 14 · lost 1
Gemini 2.0 Flashwon 19 · lost 2
Gemini 1.5 Prowon 16 · lost 2
Llama 3.3 70B Instructwon 16 · lost 3
GPT-4o miniwon 19 · lost 4
Magistral Small 1.2won 14 · lost 3
Command Awon 16 · lost 4
GPT-4.1 nanowon 18 · lost 5
Llama 4 Scout Instructwon 16 · lost 5
Mistral Medium 3.5won 11 · lost 4
GPT OSS 20Bwon 14 · lost 6
Claude 3.5 Haikuwon 13 · lost 7
DeepSeek V3won 15 · lost 9
Gemma 4 31Bwon 11 · lost 7
GPT-4owon 14 · lost 10
GPT-4.1 miniwon 13 · lost 10
O1 Miniwon 8 · lost 7
Grok 3won 11 · lost 10
Grok 4.3won 10 · lost 11
GPT-5.4 nanowon 8 · lost 9
Mistral Large 3won 8 · lost 9
MiMo V2.5won 7 · lost 8
GPT-4.1won 10 · lost 12
DeepSeek V3.2won 10 · lost 12
GPT-5 nanowon 9 · lost 11
GLM-4.6won 9 · lost 11
GPT-6 Lunawon 9 · lost 11
Kimi K2 Thinkingwon 8 · lost 10
Ling 3.0 Flashwon 8 · lost 10
GPT-4 Turbowon 7 · lost 9
Gemini 2.5 Flash-Litewon 7 · lost 9
Gemini 3.1 Flash-Litewon 7 · lost 9
GPT OSS 120Bwon 10 · lost 13
Gemini 2.5 Flashwon 10 · lost 13
Claude Haiku 4.5won 10 · lost 13
Qwen3 235B A22B Instructwon 10 · lost 13
Claude 3.5 Sonnetwon 9 · lost 12
Grok 4.1 Fastwon 9 · lost 12
MiMo V2.5 Prowon 9 · lost 12
Grok 3 Miniwon 7 · lost 10
Kimi K2won 9 · lost 13
MiniMax M3won 9 · lost 13
DeepSeek V4 Flashwon 9 · lost 13
Qwen3.8 Maxwon 9 · lost 13
Claude Sonnet 4.6won 8 · lost 12
MiMo V2.6 Flashwon 7 · lost 11
Grok 4won 8 · lost 13
Kimi K2.6won 8 · lost 13
Gemini 3.6 Flashwon 8 · lost 13
GPT-5.4 miniwon 6 · lost 10
MiMo V2.6 Prowon 7 · lost 12
Claude 3.7 Sonnetwon 8 · lost 14
Kimi K2.5won 8 · lost 14
GPT-5.6 Lunawon 8 · lost 14
DeepSeek V4 Prowon 8 · lost 14
Grok 4.5won 8 · lost 14
GLM-5.3 Flashwon 8 · lost 14
GLM-5.2won 8 · lost 14
GLM-4.5won 6 · lost 11
MiniMax M2.1won 5 · lost 10
Qwen3.6 Pluswon 5 · lost 10
Claude Opus 4.6won 6 · lost 12
Gemini 2.5 Prowon 8 · lost 16
Claude Opus 4won 7 · lost 15
GLM-5.1won 7 · lost 15
Qwen3.7 Maxwon 7 · lost 15
GPT-5.4won 7 · lost 15
Gemini 3.5 Flashwon 7 · lost 15
Inkling Smallwon 5 · lost 11
Gemini 3.5 Flash-Litewon 5 · lost 11
O4 Miniwon 7 · lost 16
DeepSeek R1won 7 · lost 16
GPT-6 Solwon 6 · lost 14
GLM-4.7won 5 · lost 12
Gemini 3.8 Flashwon 6 · lost 16
MiniMax M2.5won 4 · lost 11
Grok 4 Fastwon 4 · lost 11
GLM-5won 4 · lost 11
Gemini 3 Flashwon 4 · lost 11
Mistral Large 4won 5 · lost 14
Gemini 3 Prowon 5 · lost 14
Qwen3.8 27Bwon 4 · lost 12
Claude Sonnet 4won 6 · lost 18
MiniMax M2.7won 5 · lost 16
Gemini 3.1 Prowon 4 · lost 13
GPT-5.6 Solwon 5 · lost 17
GPT-5 miniwon 5 · lost 18
Claude Sonnet 4.5won 5 · lost 18
DeepSeek V4.1 Flashwon 3 · lost 12
Claude Opus 4.5won 3 · lost 13
Kimi K3won 3 · lost 13
Gemini 3.7 Flashwon 3 · lost 13
Inklingwon 4 · lost 18
Grok 4.6won 4 · lost 18
GPT-5.6 Terrawon 4 · lost 18
GPT-5.5won 4 · lost 18
O1won 3 · lost 18
GPT-5.2won 3 · lost 18
Muse Spark 1.1won 3 · lost 18
Claude Opus 4.7won 3 · lost 19
Muse Sparkwon 2 · lost 13
O3won 3 · lost 20
GPT-5.1won 3 · lost 20
GLM-5.3won 2 · lost 14
Grok 4.7won 2 · lost 17
Claude Sonnet 5won 2 · lost 20
Claude Opus 5won 2 · lost 20
GPT-5won 2 · lost 21
GPT-6 Astrawon 1 · lost 14
Muse Spark 1.2won 1 · lost 14
Claude Opus 5.5won 1 · lost 19
Claude Opus 4.8won 1 · lost 21
Claude Fable 5.1won 0 · lost 16
Claude Fable 5won 0 · lost 16

§ 3 · Sources

Where the numbers come from

10 publications, 25 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1364
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 238
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 142
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 3%
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 67.4%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 60.4%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 22.8%
Vals.ai ↗7 measuresread 2026-11-10
Vals · LegalBench 71.54%Vals · CorpFin 45.3%Vals · TaxEval 69.42%Vals · MedQA 94.83%Vals · GPQA Diamond 75.5%Vals · MMLU Pro 78.69%Vals · AIME 86.46%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 95.2%HELM Safety · SimpleSafetyTests 99%HELM Safety · Anthropic Red Team 98.6%HELM Safety · BBQ 94.1%HELM Safety · XSTest 94.1%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 4.1%Enkrypt · Harmful content risk 15.6%Enkrypt · CBRN risk 8.3%Enkrypt · Toxicity risk 4.6%Enkrypt · Bias risk 81.9%Enkrypt · Insecure code risk 16.9%

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