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The LLM benchmark aggregator.

O3

OpenAI

Strongest in Tool use (#7 of 81), weakest in Toxicity avoidance (#180 of 272). Above par in 25 of 27 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of GPT-5 Mini and GLM-5.1.

§ 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.

Coding59.9#11/165
Code generation60.4#8/77
Agentic coding59.5#13/157
Safety57.7#20/337
Jailbreak resistance62.8#13/272
Safe-prompt compliance57.1#21/82
Harm refusal58.3#22/300
Secure code63#35/274
Fairness55.1#68/300
Toxicity avoidance51.9#180/272
Professional54.2#40/168
Medical55#36/140
Legal54.2#43/151
Finance54.2#57/151
Core abilities55.1#45/204
General intelligence57.3#43/204
Knowledge54.5#60/138
Academic knowledge55.5#55/123
Reasoning52#75/178
Mathematics55.1#49/140
Science55.6#54/122
Reasoning47.7#70/140
Human preference60.1#87/342
Human preference60.1#87/342
Agents52.2#93/268
Tool use68.3#7/81
Computer use37.5#33/37

§ 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, left for the other.

Command R Pluswon 17 · lost 0
Gemini 1.5 Flashwon 17 · lost 0
Mistral Large 3won 18 · lost 0
Mistral Smallwon 20 · lost 0
Grok 3won 20 · lost 0
Gemini 2.0 Flashwon 23 · lost 0
DeepSeek V3won 25 · lost 0
GPT-4.1 Nanowon 24 · lost 1
GPT-4o Miniwon 23 · lost 1
Llama 4 Scout Instructwon 22 · lost 1
GPT-5.4 Nanowon 18 · lost 1
Mistral Largewon 17 · lost 1
GPT-4.1 Miniwon 23 · lost 2
DeepSeek V3.2won 22 · lost 2
GPT-4owon 20 · lost 2
GPT OSS 20Bwon 19 · lost 2
Gemini 1.5 Prowon 17 · lost 2
Gemini 2.5 Flash Litewon 17 · lost 2
GPT-5.4 Miniwon 16 · lost 2
O4 Miniwon 23 · lost 3
Gemini 2.5 Flashwon 23 · lost 3
Kimi K2won 22 · lost 3
GPT OSS 120Bwon 21 · lost 3
Command Awon 20 · lost 3
O3 Miniwon 20 · lost 3
Gemma 4 31Bwon 18 · lost 3
GLM-4.5won 16 · lost 3
Claude Haiku 4.5won 21 · lost 4
Ling 3.0 Flashwon 14 · lost 3
Mimo V2.5 Prowon 18 · lost 4
Claude Sonnet 4won 21 · lost 5
Kimi K2 Thinkingwon 16 · lost 4
GPT-4.1won 20 · lost 5
Qwen3 235B A22B Instructwon 20 · lost 5
DeepSeek R1won 19 · lost 5
Grok 4.3won 19 · lost 5
GLM-4.6won 18 · lost 5
Gemini 3.5 Flash Litewon 14 · lost 4
Grok 4 Fastwon 13 · lost 4
O1won 16 · lost 5
Claude 3.7 Sonnetwon 17 · lost 6
Claude 3.5 Haikuwon 14 · lost 5
Grok 4.1 Fastwon 16 · lost 6
Claude 3.5 Sonnetwon 15 · lost 6
GPT-6 Lunawon 15 · lost 6
Claude Opus 4won 17 · lost 7
Gemini 3.1 Flash Litewon 12 · lost 5
GLM-5.2won 17 · lost 8
Qwen3.6 Pluswon 12 · lost 6
DeepSeek V4 Flashwon 16 · lost 8
MiniMax M3won 17 · lost 9
GPT-5 Nanowon 15 · lost 8
MiniMax M2.7won 13 · lost 7
Grok 4won 16 · lost 9
Kimi K2.6won 16 · lost 9
Qwen3.8 27Bwon 12 · lost 7
GPT-5.6 Lunawon 15 · lost 10
Qwen3.7 Maxwon 14 · lost 10
Gemini 3.5 Flashwon 13 · lost 11
Gemini 3.6 Flashwon 13 · lost 11
GPT-6 Solwon 11 · lost 10
GLM-5.1won 11 · lost 10
GPT-5 Miniwon 13 · lost 12
Kimi K2.5won 12 · lost 12
DeepSeek V4 Prowon 12 · lost 12
GLM-5.3 Flashwon 12 · lost 12
Inklingwon 12 · lost 13
Gemini 2.5 Prowon 12 · lost 13
Claude Sonnet 4.6won 11 · lost 12
GLM-5won 8 · lost 9
GPT-5.4won 11 · lost 13
Mimo V2.6 Prowon 8 · lost 10
GPT-5.6 Terrawon 11 · lost 14
Claude Sonnet 4.5won 11 · lost 15
Gemini 3.1 Prowon 8 · lost 11
Qwen3.8 Maxwon 10 · lost 14
Grok 4.7won 8 · lost 13
Grok 4.5won 9 · lost 15
DeepSeek V4.1 Flashwon 6 · lost 11
Claude Opus 4.6won 7 · lost 14
Gemini 3.8 Flashwon 8 · lost 16
GPT-5.2won 8 · lost 17
Claude Sonnet 5won 8 · lost 17
Claude Opus 4.5won 6 · lost 14
Muse Spark 1.2won 5 · lost 12
GPT-5.5won 7 · lost 17
Muse Spark 1.1won 7 · lost 18
Gemini 3.7 Flashwon 5 · lost 13
Gemini 3 Prowon 6 · lost 16
Grok 4.6won 6 · lost 18
Claude Opus 4.8won 6 · lost 18
GPT-5.6 Solwon 6 · lost 18
Claude Opus 4.7won 6 · lost 18
GPT-5.1won 5 · lost 17
Kimi K3won 4 · lost 14
GPT-5won 5 · lost 19
GLM-5.3won 3 · lost 15
Claude Opus 5won 4 · lost 21
Claude Opus 5.5won 2 · lost 19
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 19

§ 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 1432
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 6.5%
LiveCodeBench ↗1 measureread 2026-09-26
LiveCodeBench 75.8%
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 81.3%
BFCL ↗1 measureread 2026-09-26
BFCL v4 63.05%
OSWorld ↗1 measureread 2026-09-26
OSWorld 23%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 67.6%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 53.1%
Vals.ai ↗10 measuresread 2026-09-26
Vals · LegalBench 83.76%Vals · CorpFin 59.71%Vals · TaxEval 74.57%Vals · MortgageTax 65.7%Vals · MedQA 96.06%Vals · MedCode 47.29%Vals · MedScribe 76.65%Vals · GPQA Diamond 84.09%Vals · MMLU Pro 85.59%Vals · AIME 85.28%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 98.4%HELM Safety · SimpleSafetyTests 99%HELM Safety · Anthropic Red Team 98.3%HELM Safety · BBQ 97.9%HELM Safety · XSTest 97.3%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 2%Enkrypt · Harmful content risk 6.1%Enkrypt · CBRN risk 9.7%Enkrypt · Toxicity risk 5%Enkrypt · Bias risk 77%Enkrypt · Insecure code risk 7.1%

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