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GPT-4o mini

OpenAI

Strongest in Multimodal understanding (#6 of 19), weakest in Agents (#250 of 298). Above par in 7 of 26 scopes. Among the models it meets almost everywhere, it finishes behind Claude Sonnet 4 and GPT-4o and ahead of Llama 3.3 70B Instruct and Llama 4 Scout Instruct.

§ 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.

Safety53#102/329
Safe-prompt compliance54.2#39/82
Jailbreak resistance58.2#64/268
Toxicity avoidance56.1#70/268
Secure code57.1#94/270
Harm refusal53.1#106/292
Fairness46.4#157/292
Knowledge45.1#151/197
Multimodal understanding57.3#6/19
Academic knowledge26.9#119/123
Professional43.1#167/194
Medical44.1#122/149
Finance39.3#142/162
Core abilities41.8#174/199
General intelligence38.2#162/178
Coding37.9#177/179
Code generation32.2#18/20
Agentic coding40.6#157/173
Reasoning32.4#195/195
Science27.8#114/122
Mathematics35.4#140/152
Reasoning32.5#145/147
Human preference48.8#214/354
Human preference48.8#214/354
Agents43#250/298
Knowledge work36#176/208

§ 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 mini, left for the other.

Command R+won 14 · lost 2
Gemini 1.5 Flashwon 10 · lost 6
Llama 4 Scout Instructwon 12 · lost 9
Llama 3.3 70B Instructwon 9 · lost 7
Magistral Small 1.2won 8 · lost 8
Command Awon 9 · lost 10
Gemma 4 31Bwon 9 · lost 10
GPT-4.1 nanowon 10 · lost 13
Grok 4.1 Fastwon 8 · lost 12
Gemini 1.5 Prowon 7 · lost 12
Ling 3.0 Flashwon 6 · lost 11
Grok 4.3won 7 · lost 14
DeepSeek V3won 8 · lost 17
MiMo V2.6 Flashwon 6 · lost 13
MiMo V2.6 Prowon 6 · lost 14
DeepSeek R1won 7 · lost 17
GLM-4.5won 5 · lost 13
Gemini 2.0 Flashwon 6 · lost 16
GLM-4.6won 6 · lost 16
Gemini 3.6 Flashwon 6 · lost 16
Kimi K2 Thinkingwon 5 · lost 14
MiniMax M3won 6 · lost 17
DeepSeek V4 Flashwon 6 · lost 17
DeepSeek V4 Prowon 6 · lost 17
Mistral Medium 3.5won 4 · lost 12
Gemini 2.5 Prowon 6 · lost 19
GPT OSS 20Bwon 5 · lost 16
Grok 3won 5 · lost 17
Grok 4won 5 · lost 18
Kimi K2.5won 5 · lost 18
GLM-5.3 Flashwon 5 · lost 18
GLM-5.2won 5 · lost 18
Claude 3.5 Haikuwon 4 · lost 15
Mistral Large 4won 4 · lost 16
GPT-6 Solwon 4 · lost 16
Kimi K2.6won 4 · lost 17
Qwen3.7 Maxwon 4 · lost 18
Gemini 3.5 Flashwon 4 · lost 18
O3 Miniwon 4 · lost 19
DeepSeek V3.2won 4 · lost 19
Gemini 3.8 Flashwon 4 · lost 19
Mistral Large 3won 3 · lost 15
Gemini 2.5 Flashwon 4 · lost 20
MiMo V2.5 Prowon 3 · lost 17
GPT-6 Lunawon 3 · lost 18
GLM-5.1won 3 · lost 18
Claude 3.5 Sonnetwon 3 · lost 19
Claude Haiku 4.5won 3 · lost 19
Claude Opus 5won 3 · lost 19
Kimi K2won 3 · lost 20
Grok 4.5won 3 · lost 20
GPT-5.4won 3 · lost 20
Qwen3.8 Maxwon 3 · lost 20
Grok 4 Fastwon 2 · lost 14
GPT OSS 120Bwon 3 · lost 21
Gemini 2.5 Flash-Litewon 2 · lost 15
Gemini 3.1 Flash-Litewon 2 · lost 15
GPT-5.4 nanowon 2 · lost 16
Claude Opus 4.6won 2 · lost 17
Grok 3 Miniwon 2 · lost 18
Claude Sonnet 4.6won 2 · lost 18
Gemini 3 Prowon 2 · lost 18
Muse Spark 1.1won 2 · lost 19
Inklingwon 2 · lost 20
GPT-5.1won 2 · lost 20
GPT-4.1won 2 · lost 21
GPT-5.6 Lunawon 2 · lost 21
Grok 4.6won 2 · lost 21
GPT-5.6 Terrawon 2 · lost 21
GPT-5.5won 2 · lost 21
GPT-5.6 Solwon 2 · lost 21
GPT-4.1 miniwon 2 · lost 22
Qwen3 235B A22B Instructwon 2 · lost 22
MiniMax M2.5won 1 · lost 15
GLM-4.7won 1 · lost 15
GLM-5won 1 · lost 15
GPT-6 Astrawon 1 · lost 15
GPT-5.4 miniwon 1 · lost 16
Gemini 3.5 Flash-Litewon 1 · lost 16
Claude Opus 4.5won 1 · lost 16
Gemini 3.1 Prowon 1 · lost 16
O1won 1 · lost 19
GPT-5 nanowon 1 · lost 20
Claude 3.7 Sonnetwon 1 · lost 20
Claude Opus 5.5won 1 · lost 20
GPT-5.2won 1 · lost 21
Claude Opus 4won 1 · lost 22
Claude Opus 4.8won 1 · lost 22
GPT-5 miniwon 1 · lost 23
O4 Miniwon 1 · lost 23
O3won 1 · lost 23
GPT-5won 1 · lost 23
Claude Sonnet 4.5won 1 · lost 23
DeepSeek V4.1 Flashwon 0 · lost 16
Gemini 3.7 Flashwon 0 · lost 16
Inkling Smallwon 0 · lost 17
Qwen3.8 27Bwon 0 · lost 17
GLM-5.3won 0 · lost 17
Kimi K3won 0 · lost 17
Claude Fable 5.1won 0 · lost 17
Claude Fable 5won 0 · lost 17
MiniMax M2.7won 0 · lost 20
Grok 4.7won 0 · lost 20
Claude Sonnet 5won 0 · lost 22
Claude Opus 4.7won 0 · lost 23
GPT-4owon 0 · lost 24
Claude Sonnet 4won 0 · lost 25

§ 3 · Sources

Where the numbers come from

11 publications, 26 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1318
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA -15
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0%
LiveCodeBench ↗1 measureread 2026-11-10
LiveCodeBench 27.5%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 3.6%
MMMU-Pro ↗1 measureread 2026-11-10
MMMU-Pro 37.6%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 28.8%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 10.7%
Vals.ai ↗7 measuresread 2026-11-10
Vals · CorpFin 45.45%Vals · TaxEval 60.55%Vals · MortgageTax 54.49%Vals · MedQA 72.44%Vals · GPQA Diamond 44.19%Vals · MMLU Pro 62.73%Vals · AIME 11.46%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 84.9%HELM Safety · SimpleSafetyTests 97.8%HELM Safety · Anthropic Red Team 98.3%HELM Safety · BBQ 88.2%HELM Safety · XSTest 96%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 5.9%Enkrypt · Harmful content risk 39.4%Enkrypt · CBRN risk 8%Enkrypt · Toxicity risk 2%Enkrypt · Bias risk 86.3%Enkrypt · Insecure code risk 18.7%

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