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GPT-4o

OpenAI

Strongest in Multimodal understanding (#1 of 19), weakest in Agents (#247 of 298). Above par in 14 of 26 scopes. Among the models it meets almost everywhere, it finishes behind Grok 4.7 and Claude Fable 5 and ahead of Grok 4.1 Fast and Claude 3.5 Haiku.

§ 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.

Safety55.2#48/329
Safe-prompt compliance57.1#20/82
Toxicity avoidance56.7#50/268
Factual grounding50.9#54/104
Secure code61#55/270
Jailbreak resistance59.1#56/268
Harm refusal54.6#76/292
Fairness52.7#88/292
Knowledge53.5#51/197
Multimodal understanding72.1#1/19
Academic knowledge39.2#104/123
Professional49.5#104/194
Medical52.5#71/149
Legal52.5#73/173
Finance45.9#120/162
Coding40.6#163/179
Code generation33.4#16/20
Agentic coding44#127/173
Reasoning34.9#190/195
Science34.5#105/122
Mathematics35.5#138/152
Reasoning34.7#144/147
Human preference50.5#191/354
Human preference50.5#191/354
Agents43.1#247/298
Knowledge work36.1#174/208

§ 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 GPT-4o, left for the other.

GPT-4o miniwon 24 · lost 0
Gemini 1.5 Flashwon 15 · lost 2
Command R+won 15 · lost 3
GPT-4.1 nanowon 19 · lost 4
Llama 4 Scout Instructwon 18 · lost 4
Llama 3.3 70B Instructwon 16 · lost 4
Magistral Small 1.2won 12 · lost 5
Gemma 4 31Bwon 13 · lost 6
Command Awon 14 · lost 7
Gemini 1.5 Prowon 13 · lost 7
Ling 3.0 Flashwon 11 · lost 7
GPT OSS 20Bwon 12 · lost 8
Gemini 2.0 Flashwon 12 · lost 9
DeepSeek V3won 14 · lost 11
Claude 3.5 Haikuwon 11 · lost 9
Grok 4.1 Fastwon 12 · lost 10
Grok 4.3won 10 · lost 11
DeepSeek R1won 11 · lost 13
GLM-5.1won 10 · lost 12
Mistral Large 3won 8 · lost 10
GPT-4 Turbowon 7 · lost 9
DeepSeek V3.2won 10 · lost 13
Kimi K2.5won 10 · lost 13
MiMo V2.5 Prowon 9 · lost 12
O3 Miniwon 10 · lost 14
GLM-4.5won 7 · lost 10
Gemini 3.1 Flash-Litewon 7 · lost 10
Grok 3won 9 · lost 13
Grok 4won 9 · lost 13
GLM-4.6won 9 · lost 13
DeepSeek V4 Flashwon 9 · lost 13
Kimi K2.6won 9 · lost 13
GPT-4.1 miniwon 9 · lost 14
GLM-4.7won 7 · lost 11
MiMo V2.6 Flashwon 7 · lost 11
MiniMax M2.1won 6 · lost 10
Grok 4 Fastwon 6 · lost 10
GPT OSS 120Bwon 9 · lost 15
O4 Miniwon 9 · lost 15
MiniMax M2.7won 8 · lost 14
MiniMax M3won 8 · lost 14
GLM-5.2won 8 · lost 14
GPT-6 Lunawon 7 · lost 13
Kimi K2won 8 · lost 15
DeepSeek V4 Prowon 8 · lost 15
Kimi K2 Thinkingwon 6 · lost 12
Claude Haiku 4.5won 8 · lost 16
Qwen3.7 Maxwon 7 · lost 15
Gemini 3.5 Flashwon 7 · lost 15
Gemini 3.6 Flashwon 7 · lost 15
Mistral Large 4won 6 · lost 13
MiMo V2.6 Prowon 6 · lost 13
Gemini 3.5 Flash-Litewon 5 · lost 11
Gemini 2.5 Flash-Litewon 5 · lost 12
GPT-5 nanowon 6 · lost 15
GPT-6 Solwon 6 · lost 15
Claude Sonnet 4won 7 · lost 18
Gemini 2.5 Prowon 7 · lost 18
GPT-5.4 nanowon 5 · lost 13
Inklingwon 6 · lost 16
Qwen3.8 Maxwon 6 · lost 16
Claude Opus 4.6won 5 · lost 14
Inkling Smallwon 4 · lost 12
GLM-5won 4 · lost 12
Gemini 3 Flashwon 4 · lost 12
Gemini 2.5 Flashwon 6 · lost 18
Qwen3 235B A22B Instructwon 6 · lost 18
O1won 5 · lost 16
Claude Sonnet 4.6won 5 · lost 16
GPT-5.4 miniwon 4 · lost 13
Claude Opus 4.5won 4 · lost 13
Claude 3.5 Sonnetwon 5 · lost 17
Claude 3.7 Sonnetwon 5 · lost 17
GPT-5.6 Lunawon 5 · lost 17
GLM-5.3 Flashwon 5 · lost 17
GPT-4.1won 5 · lost 18
GPT-5.4won 5 · lost 18
Gemini 3 Prowon 4 · lost 15
MiniMax M2.5won 3 · lost 13
Grok 4.5won 4 · lost 18
Gemini 3.8 Flashwon 4 · lost 18
Claude Opus 4won 4 · lost 19
GPT-5.5won 4 · lost 19
GPT-5.6 Solwon 4 · lost 19
GPT-5 miniwon 4 · lost 20
GPT-5won 4 · lost 20
GPT-5.1won 4 · lost 20
Claude Sonnet 4.5won 4 · lost 20
Grok 3 Miniwon 3 · lost 16
GPT-5.2won 3 · lost 19
Grok 4.6won 3 · lost 19
GPT-5.6 Terrawon 3 · lost 19
Claude Opus 5won 3 · lost 19
Claude Opus 4.7won 3 · lost 20
GPT-6 Astrawon 2 · lost 14
Gemini 3.1 Prowon 2 · lost 16
Muse Spark 1.1won 2 · lost 19
Claude Opus 5.5won 2 · lost 19
O3won 2 · lost 20
Claude Sonnet 5won 2 · lost 20
Qwen3.8 27Bwon 1 · lost 15
DeepSeek V4.1 Flashwon 1 · lost 15
GLM-5.3won 1 · lost 15
Claude Opus 4.8won 1 · lost 21
Kimi K3won 0 · lost 16
Gemini 3.7 Flashwon 0 · lost 16
Claude Fable 5.1won 0 · lost 16
Claude Fable 5won 0 · lost 16
Grok 4.7won 0 · lost 19

§ 3 · Sources

Where the numbers come from

11 publications, 28 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1336
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA -9
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0%
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 29.5%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 18.2%
MMMU-Pro ↗1 measureread 2026-11-10
MMMU-Pro 51.9%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 17.8%
Vals.ai ↗9 measuresread 2026-11-10
Vals · CaseLaw 59.7%Vals · LegalBench 82.21%Vals · CorpFin 45.92%Vals · TaxEval 74.53%Vals · MortgageTax 57.43%Vals · MedQA 88.16%Vals · GPQA Diamond 53.79%Vals · MMLU Pro 72.56%Vals · AIME 11.88%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 82.9%HELM Safety · SimpleSafetyTests 98.5%HELM Safety · Anthropic Red Team 99.1%HELM Safety · BBQ 95.1%HELM Safety · XSTest 97.3%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 5.2%Enkrypt · Harmful content risk 32.2%Enkrypt · CBRN risk 6.2%Enkrypt · Toxicity risk 1.6%Enkrypt · Bias risk 79.3%Enkrypt · Insecure code risk 10.7%
Vectara · Factual consistency 90.4%

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