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O4 Mini

OpenAI

Strongest in Code generation (#5 of 77, on 1 of its 2 boards), weakest in Toxicity avoidance (#205 of 272). Above par in 19 of 27 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5 and ahead of DeepSeek V3.2 and DeepSeek R1.

§ 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.

Coding59.3#12/165
Code generation62.7#5/77
Agentic coding57.1#26/157
Core abilities55.1#46/204
General intelligence57.3#44/204
Agents56.2#53/268
Tool use61.2#17/81
Professional50.3#77/168
Finance53.7#63/151
Legal50.7#74/151
Medical46.3#102/140
Safety53.5#85/337
Safe-prompt compliance57.3#18/82
Harm refusal56.8#37/300
Jailbreak resistance58.7#61/272
Secure code60.4#64/274
Factual grounding28.2#93/101
Fairness51.9#96/300
Toxicity avoidance49.4#205/272
Knowledge49.3#88/138
Academic knowledge49.2#81/123
Reasoning48.2#101/178
Mathematics54.6#56/140
Science48.9#81/122
Reasoning42.9#97/140
Human preference56.1#132/342
Human preference56.1#132/342

§ 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 O4 Mini, left for the other.

Gemini 1.5 Flashwon 17 · lost 0
GPT-4.1 Nanowon 24 · lost 1
GPT-4o Miniwon 23 · lost 1
Command R Pluswon 17 · lost 1
Llama 4 Scout Instructwon 22 · lost 2
Gemini 2.0 Flashwon 21 · lost 2
Mistral Smallwon 19 · lost 2
Mistral Largewon 17 · lost 2
Gemini 1.5 Prowon 17 · lost 2
GPT-4.1 Miniwon 22 · lost 3
DeepSeek V3won 22 · lost 4
Command Awon 20 · lost 4
GPT OSS 20Bwon 16 · lost 5
Gemini 2.5 Flash Litewon 15 · lost 5
Grok 4.3won 18 · lost 6
Claude 3.5 Haikuwon 14 · lost 5
Ling 3.0 Flashwon 12 · lost 5
O3 Miniwon 16 · lost 7
Mistral Large 3won 13 · lost 6
Gemma 4 31Bwon 15 · lost 7
Qwen3.6 Pluswon 12 · lost 6
Grok 3won 14 · lost 7
GPT OSS 120Bwon 16 · lost 9
Mimo V2.5 Prowon 14 · lost 8
GPT-5.4 Miniwon 12 · lost 7
GPT-5 Nanowon 15 · lost 9
Claude 3.5 Sonnetwon 13 · lost 8
GPT-6 Lunawon 13 · lost 8
Gemini 3.5 Flash Litewon 11 · lost 7
GPT-4owon 14 · lost 9
Kimi K2won 15 · lost 11
MiniMax M3won 14 · lost 11
Gemini 3.1 Flash Litewon 10 · lost 8
GPT-5.4 Nanowon 11 · lost 9
DeepSeek V4 Flashwon 13 · lost 11
Claude Haiku 4.5won 14 · lost 12
Grok 4.1 Fastwon 12 · lost 11
DeepSeek R1won 13 · lost 12
DeepSeek V3.2won 13 · lost 12
Grok 4 Fastwon 9 · lost 9
MiniMax M2.7won 10 · lost 10
GLM-5.3 Flashwon 12 · lost 12
Gemini 3.6 Flashwon 12 · lost 12
GPT-4.1won 13 · lost 13
Gemini 2.5 Flashwon 13 · lost 14
Kimi K2.6won 12 · lost 13
GLM-5.2won 12 · lost 13
GLM-5.1won 10 · lost 11
GLM-4.5won 9 · lost 10
Qwen3.8 27Bwon 9 · lost 10
Qwen3.7 Maxwon 11 · lost 13
Gemini 3.5 Flashwon 11 · lost 13
Claude 3.7 Sonnetwon 10 · lost 12
Kimi K2 Thinkingwon 9 · lost 11
Claude Sonnet 4.6won 10 · lost 13
Claude Sonnet 4won 11 · lost 15
GLM-4.6won 10 · lost 14
Kimi K2.5won 10 · lost 14
Claude Opus 4won 10 · lost 15
Inklingwon 10 · lost 15
GPT-5.6 Lunawon 10 · lost 15
DeepSeek V4 Prowon 10 · lost 15
Qwen3 235B A22B Instructwon 10 · lost 16
GPT-6 Solwon 8 · lost 14
Grok 4won 9 · lost 16
Gemini 3.1 Prowon 7 · lost 13
Mimo V2.6 Prowon 6 · lost 12
GPT-5.4won 8 · lost 17
Claude Opus 4.6won 7 · lost 15
Gemini 2.5 Prowon 8 · lost 18
Grok 4.5won 7 · lost 17
Qwen3.8 Maxwon 7 · lost 17
Muse Spark 1.1won 7 · lost 17
Gemini 3.8 Flashwon 7 · lost 17
Claude Opus 4.5won 6 · lost 15
GPT-5.6 Terrawon 7 · lost 18
GLM-5won 5 · lost 13
Gemini 3 Prowon 6 · lost 17
Claude Sonnet 5won 6 · lost 19
GPT-5.5won 6 · lost 19
O1won 5 · lost 16
Muse Spark 1.2won 4 · lost 13
Claude Sonnet 4.5won 6 · lost 20
Gemini 3.7 Flashwon 4 · lost 14
Grok 4.6won 5 · lost 19
Claude Opus 4.7won 5 · lost 20
GPT-5 Miniwon 5 · lost 21
GPT-5.2won 5 · lost 21
Grok 4.7won 4 · lost 17
DeepSeek V4.1 Flashwon 3 · lost 14
GPT-5.1won 4 · lost 19
GLM-5.3won 3 · lost 15
Kimi K3won 3 · lost 15
Claude Opus 4.8won 4 · lost 20
GPT-5won 4 · lost 21
GPT-5.6 Solwon 4 · lost 21
Claude Opus 5won 3 · lost 21
GPT-6 Astrawon 2 · lost 15
O3won 3 · lost 23
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 18
Claude Opus 5.5won 0 · lost 21

§ 3 · Sources

Where the numbers come from

11 publications, 29 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1391
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 6.1%
LiveCodeBench ↗1 measureread 2026-09-26
LiveCodeBench 80.2%
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 72%
BFCL ↗1 measureread 2026-09-26
BFCL v4 53.24%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 67.6%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 38.7%
Vals.ai ↗10 measuresread 2026-09-26
Vals · LegalBench 79.19%Vals · CorpFin 58.97%Vals · TaxEval 74.78%Vals · MortgageTax 64.83%Vals · MedQA 96.02%Vals · MedCode 33.79%Vals · MedScribe 69.14%Vals · GPQA Diamond 74.5%Vals · MMLU Pro 80.56%Vals · AIME 83.67%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 97%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 98.2%HELM Safety · BBQ 94%HELM Safety · XSTest 97.4%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 5.4%Enkrypt · Harmful content risk 15%Enkrypt · CBRN risk 12.7%Enkrypt · Toxicity risk 6.7%Enkrypt · Bias risk 79.8%Enkrypt · Insecure code risk 12.4%
Vectara · Factual consistency 81.4%

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