Request a Pilot
‹ PublicAI Index

The LLM benchmark aggregator.

GPT-4.1 mini

OpenAI

Strongest in Safe-prompt compliance (#18 of 82), weakest in Toxicity avoidance (#176 of 268). Above par in 12 of 26 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.2 and Claude Opus 5.5 and ahead of MiMo V2.5 Pro and Gemini 2.5 Flash-Lite.

§ 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.

Professional51.2#84/194
Finance52.4#81/162
Medical50.6#82/149
Legal49.8#90/173
Safety53.2#91/329
Safe-prompt compliance57.3#18/82
Secure code59#71/270
Harm refusal53.5#97/292
Fairness49.1#125/292
Jailbreak resistance52.4#151/268
Toxicity avoidance52#176/268
Coding47.6#104/179
Agentic coding47.3#102/173
Core abilities48.6#115/199
General intelligence48#109/178
Knowledge47.9#136/197
Academic knowledge45#97/123
Agents49.4#137/298
Tool use59.1#22/81
Knowledge work40.8#147/208
Reasoning44.1#148/195
Science44.3#93/122
Mathematics45.5#105/152
Reasoning41.9#113/147
Human preference55#152/354
Human preference55#152/354

§ 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 GPT-4.1 mini, left for the other.

Command R+won 16 · lost 1
GPT-4o miniwon 22 · lost 2
Llama 4 Scout Instructwon 21 · lost 2
Llama 3.3 70B Instructwon 18 · lost 2
Magistral Small 1.2won 15 · lost 2
Gemini 1.5 Flashwon 15 · lost 2
Command Awon 20 · lost 3
GPT-4.1 nanowon 21 · lost 4
Mistral Medium 3.5won 14 · lost 3
Gemini 2.0 Flashwon 18 · lost 5
Claude 3.5 Haikuwon 15 · lost 5
Gemini 1.5 Prowon 14 · lost 5
Gemma 4 31Bwon 14 · lost 6
DeepSeek V3won 16 · lost 9
GPT-4owon 14 · lost 9
GPT OSS 20Bwon 13 · lost 9
Grok 4.3won 13 · lost 9
GPT-5.4 nanowon 11 · lost 8
Mistral Large 3won 11 · lost 8
GPT OSS 120Bwon 14 · lost 11
Ling 3.0 Flashwon 10 · lost 8
Gemini 3.5 Flash-Litewon 10 · lost 8
Claude 3.5 Sonnetwon 11 · lost 9
Gemini 2.5 Flash-Litewon 10 · lost 9
MiMo V2.5 Prowon 11 · lost 10
Gemini 3.1 Flash-Litewon 9 · lost 9
Grok 4.1 Fastwon 11 · lost 11
GLM-4.6won 11 · lost 13
MiniMax M3won 11 · lost 13
Inkling Smallwon 8 · lost 10
O3 Miniwon 10 · lost 13
GPT-5 nanowon 9 · lost 14
GPT-5.4 miniwon 7 · lost 11
Qwen3.6 Pluswon 6 · lost 10
Grok 4.20won 6 · lost 10
Claude Haiku 4.5won 9 · lost 15
DeepSeek R1won 9 · lost 15
DeepSeek V4 Flashwon 9 · lost 15
GPT-6 Lunawon 8 · lost 14
Grok 4won 9 · lost 16
MiniMax M2.5won 6 · lost 11
Kimi K2 Thinkingwon 7 · lost 13
Grok 3won 8 · lost 15
Mistral Large 4won 7 · lost 14
GPT-6 Solwon 7 · lost 14
Kimi K2.5won 8 · lost 16
DeepSeek V3.2won 8 · lost 17
Kimi K2.6won 7 · lost 15
GLM-5.1won 7 · lost 15
Qwen3.7 Maxwon 7 · lost 16
GLM-4.7won 5 · lost 12
Inklingwon 7 · lost 17
GLM-5.3 Flashwon 7 · lost 17
MiniMax M2.7won 6 · lost 15
Kimi K2won 7 · lost 18
Gemini 2.5 Prowon 7 · lost 18
Qwen3.8 27Bwon 5 · lost 13
GLM-4.5won 5 · lost 14
Gemini 3.5 Flashwon 6 · lost 17
MiMo V2.6 Flashwon 5 · lost 15
Gemini 2.5 Flashwon 6 · lost 19
Grok 4 Fastwon 4 · lost 13
GLM-5won 4 · lost 13
Gemini 3 Prowon 5 · lost 17
Gemini 3.1 Prowon 4 · lost 14
Gemini 3.6 Flashwon 5 · lost 18
Claude Sonnet 4won 5 · lost 19
DeepSeek V4 Prowon 5 · lost 19
GLM-5.2won 5 · lost 19
Grok 3 Miniwon 4 · lost 16
GPT-4.1won 5 · lost 20
Claude Sonnet 4.6won 4 · lost 17
MiMo V2.6 Prowon 4 · lost 17
Claude 3.7 Sonnetwon 4 · lost 18
Claude Opus 4won 4 · lost 19
Qwen3.8 Maxwon 4 · lost 20
Claude Opus 4.5won 3 · lost 16
Claude Sonnet 4.5won 4 · lost 22
Claude Haiku 5.5won 2 · lost 14
O4 Miniwon 3 · lost 21
Gemini 3.8 Flashwon 3 · lost 21
GPT-5 miniwon 3 · lost 22
Qwen3 235B A22B Instructwon 3 · lost 22
GPT-6 Astrawon 2 · lost 15
Claude Opus 4.6won 2 · lost 18
GPT-5.1won 2 · lost 21
Claude Opus 5won 2 · lost 21
GPT-5.6 Lunawon 2 · lost 22
Grok 4.5won 2 · lost 22
GPT-5.6 Solwon 2 · lost 22
O3won 2 · lost 23
GPT-6.1 Solwon 1 · lost 15
Gemini 4 Argonwon 1 · lost 15
O1won 1 · lost 20
Muse Spark 1.1won 1 · lost 21
Claude Sonnet 5won 1 · lost 22
Grok 4.6won 1 · lost 23
GPT-5.6 Terrawon 1 · lost 23
GPT-5.4won 1 · lost 23
GPT-5.5won 1 · lost 23
Claude Opus 4.8won 1 · lost 23
Claude Opus 4.7won 1 · lost 23
GPT-5won 1 · lost 24
Claude Sonnet 5.5won 0 · lost 16
Muse Spark 1.2won 0 · lost 16
DeepSeek V4.1 Flashwon 0 · lost 17
Gemini 3.7 Flashwon 0 · lost 17
GLM-5.3won 0 · lost 18
Kimi K3won 0 · lost 18
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 18
Grok 4.7won 0 · lost 21
Claude Opus 5.5won 0 · lost 22
GPT-5.2won 0 · lost 24

§ 3 · Sources

Where the numbers come from

9 publications, 25 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1383
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 277
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 32.4%
BFCL ↗1 measureread 2026-11-10
BFCL v4 50.45%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 48.6%
Vals.ai ↗8 measuresread 2026-11-10
Vals · LegalBench 78.04%Vals · CorpFin 57.93%Vals · TaxEval 71.91%Vals · MortgageTax 65.5%Vals · MedQA 84.63%Vals · GPQA Diamond 67.93%Vals · MMLU Pro 77.22%Vals · AIME 49.38%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 85.6%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 99.3%HELM Safety · BBQ 92.1%HELM Safety · XSTest 97.4%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 10.8%Enkrypt · Harmful content risk 41.7%Enkrypt · CBRN risk 11.3%Enkrypt · Toxicity risk 4.8%Enkrypt · Bias risk 84.5%Enkrypt · Insecure code risk 14.7%

Badge

PublicAI Index badge for GPT-4.1 mini[![PublicAI Index](https://publicai.io/model-index/badge?model=gpt-4-1-mini)](https://publicai.io/model-index/m/gpt-4-1-mini)