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The LLM benchmark aggregator.

O4 Mini

OpenAI

Strongest in Code generation (#1 of 20), weakest in Toxicity avoidance (#203 of 268). 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.

Coding59.4#14/179
Code generation65.3#1/20
Agentic coding56.6#26/173
Core abilities55.1#43/199
General intelligence57.3#39/178
Agents54.6#62/298
Tool use61.2#17/81
Safety53.5#85/329
Safe-prompt compliance57.3#18/82
Harm refusal56.8#36/292
Jailbreak resistance58.8#60/268
Secure code60.2#64/270
Fairness51.9#94/292
Factual grounding28#96/104
Toxicity avoidance49.2#203/268
Professional50.2#96/194
Finance53.7#69/162
Legal50.7#87/173
Medical46.1#112/149
Reasoning47.8#116/195
Mathematics54.6#59/152
Science48.9#81/122
Reasoning41.9#112/147
Knowledge49.7#116/197
Academic knowledge49.2#81/123
Human preference55.8#142/354
Human preference55.8#142/354

§ 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-4o miniwon 23 · lost 1
GPT-4.1 nanowon 23 · lost 1
Command R+won 17 · lost 1
Llama 4 Scout Instructwon 22 · lost 2
Gemini 2.0 Flashwon 21 · lost 2
Llama 3.3 70B Instructwon 18 · lost 2
GPT-4.1 miniwon 21 · lost 3
DeepSeek V3won 22 · lost 4
Gemini 1.5 Prowon 16 · lost 3
Command Awon 20 · lost 4
GPT OSS 20Bwon 16 · lost 5
Gemini 2.5 Flash-Litewon 15 · lost 5
Claude 3.5 Haikuwon 14 · lost 5
Grok 3won 17 · lost 7
Gemma 4 31Bwon 14 · lost 6
O3 Miniwon 16 · lost 7
Mistral Large 3won 13 · lost 6
Grok 4.3won 14 · lost 7
Ling 3.0 Flashwon 11 · lost 6
GPT OSS 120Bwon 16 · lost 9
GPT-4owon 15 · lost 9
GPT-5 nanowon 15 · lost 9
Claude 3.5 Sonnetwon 13 · lost 8
GPT-6 Lunawon 13 · lost 8
Gemini 3.1 Flash-Litewon 11 · lost 7
MiMo V2.5 Prowon 12 · lost 8
Kimi K2won 15 · lost 11
DeepSeek V4 Flashwon 13 · lost 10
Mistral Large 4won 11 · lost 9
Qwen3.8 27Bwon 9 · lost 8
Gemini 3.5 Flash-Litewon 9 · lost 8
GPT-5.4 nanowon 10 · lost 9
MiMo V2.6 Flashwon 10 · lost 9
Grok 4.1 Fastwon 12 · lost 11
DeepSeek R1won 13 · lost 12
DeepSeek V3.2won 13 · lost 12
Grok 4 Fastwon 9 · lost 9
GPT-5.4 miniwon 9 · lost 9
MiMo V2.6 Prowon 10 · lost 10
Claude Haiku 4.5won 12 · lost 12
GPT-4.1won 13 · lost 13
Gemini 2.5 Flashwon 13 · lost 14
Qwen3 235B A22B Instructwon 13 · lost 14
MiniMax M3won 11 · lost 12
GLM-5.3 Flashwon 11 · lost 12
Grok 3 Miniwon 10 · lost 11
MiniMax M2.7won 10 · lost 11
GLM-5.1won 10 · lost 11
GLM-4.5won 9 · lost 10
Inkling Smallwon 8 · lost 9
GLM-4.7won 8 · lost 9
Claude 3.7 Sonnetwon 10 · lost 12
Kimi K2 Thinkingwon 9 · lost 11
GLM-5.2won 10 · lost 13
Qwen3.8 Maxwon 10 · lost 13
GPT-6 Solwon 9 · lost 12
Kimi K2.6won 9 · lost 12
Claude Sonnet 4won 11 · lost 15
GLM-4.6won 10 · lost 14
DeepSeek V4 Prowon 10 · lost 14
Gemini 3.6 Flashwon 9 · lost 13
Gemini 3.8 Flashwon 9 · lost 14
Claude Sonnet 4.6won 8 · lost 13
Claude Opus 4won 9 · lost 15
Kimi K2.5won 9 · lost 15
Qwen3.7 Maxwon 8 · lost 14
Gemini 3.5 Flashwon 8 · lost 14
Grok 4won 9 · lost 16
Inklingwon 8 · lost 15
GPT-5.6 Lunawon 8 · lost 15
GPT-5.4won 8 · lost 16
Gemini 2.5 Prowon 8 · lost 18
GPT-5.6 Terrawon 7 · lost 16
Grok 4.7won 6 · lost 14
GLM-5won 5 · lost 13
Gemini 3.1 Prowon 5 · lost 13
Grok 4.6won 6 · lost 17
Grok 4.5won 6 · lost 17
Gemini 3 Prowon 6 · lost 17
O1won 5 · lost 16
Muse Spark 1.1won 5 · lost 16
Claude Opus 4.6won 5 · lost 16
Kimi K3won 4 · lost 13
GPT-5 miniwon 6 · lost 20
Claude Sonnet 4.5won 6 · lost 20
GPT-5.5won 5 · lost 19
GPT-5.6 Solwon 5 · lost 19
Claude Opus 4.7won 5 · lost 19
Claude Opus 4.5won 4 · lost 16
DeepSeek V4.1 Flashwon 3 · lost 14
GLM-5.3won 3 · lost 14
GPT-5.1won 4 · lost 19
GPT-5won 4 · lost 21
GPT-5.2won 4 · lost 21
Claude Sonnet 5won 3 · lost 19
Claude Opus 5won 3 · lost 19
Claude Opus 4.8won 3 · lost 20
O3won 3 · lost 21
GPT-6 Astrawon 2 · lost 15
Claude Fable 5.1won 0 · lost 17
Claude Fable 5won 0 · lost 17
Claude Opus 5.5won 0 · lost 22

§ 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 2026-11-10
LMArena Text 1391
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 6.1%
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 80.2%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 72%
BFCL ↗1 measureread 2026-11-10
BFCL v4 53.24%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 67.6%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 38.7%
Vals.ai ↗10 measuresread 2026-11-10
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 2026-11-10
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 2026-11-10
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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