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GPT-4.1 nano

OpenAI

Strongest in Safe-prompt compliance (#39 of 82), weakest in Agents (#257 of 298). Above par in 6 of 26 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5 and GPT-5.2 and ahead of Gemma 4 31B and Command A.

§ 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.

Safety52.8#105/329
Safe-prompt compliance54.2#39/82
Secure code60.2#64/270
Harm refusal53.8#91/292
Jailbreak resistance53.7#134/268
Toxicity avoidance53.3#145/268
Fairness45.7#177/292
Coding42.5#150/179
Agentic coding41.8#147/173
Core abilities43.4#160/199
General intelligence40.4#148/178
Knowledge40.8#176/197
Academic knowledge27.8#118/123
Reasoning38.1#179/195
Science32.4#108/122
Reasoning41.9#113/147
Mathematics39.4#122/152
Professional39.6#182/194
Medical41.8#128/149
Finance37.4#148/162
Legal36.9#160/173
Human preference49.2#206/354
Human preference49.2#206/354
Agents42.5#257/298
Tool use46.5#41/81
Knowledge work32.8#196/208

§ 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-4.1 nano, left for the other.

Command R+won 14 · lost 3
Gemini 1.5 Flashwon 13 · lost 4
Llama 3.3 70B Instructwon 12 · lost 8
Mistral Medium 3.5won 10 · lost 7
GPT-4o miniwon 13 · lost 10
Llama 4 Scout Instructwon 13 · lost 10
Command Awon 13 · lost 10
Gemma 4 31Bwon 11 · lost 9
Magistral Small 1.2won 8 · lost 9
Gemini 1.5 Prowon 8 · lost 11
Ling 3.0 Flashwon 7 · lost 11
Grok 4.1 Fastwon 8 · lost 14
Grok 4.3won 8 · lost 14
GLM-4.6won 8 · lost 16
DeepSeek V3won 8 · lost 17
GPT OSS 20Bwon 7 · lost 15
GLM-4.5won 5 · lost 14
Mistral Large 3won 5 · lost 14
Gemini 2.0 Flashwon 6 · lost 17
Grok 3won 6 · lost 17
MiMo V2.6 Flashwon 5 · lost 15
MiniMax M3won 6 · lost 18
DeepSeek V4 Flashwon 6 · lost 18
GPT OSS 120Bwon 6 · lost 19
GPT-6 Solwon 5 · lost 16
Gemini 3.1 Flash-Litewon 4 · lost 14
O3 Miniwon 5 · lost 18
Gemini 3.6 Flashwon 5 · lost 18
DeepSeek R1won 5 · lost 19
Kimi K2.5won 5 · lost 19
DeepSeek V4 Prowon 5 · lost 19
GLM-5.3 Flashwon 5 · lost 19
GLM-5.2won 5 · lost 19
Kimi K2 Thinkingwon 4 · lost 16
Claude 3.5 Haikuwon 4 · lost 16
Gemini 2.5 Flashwon 5 · lost 20
Grok 4won 5 · lost 20
DeepSeek V3.2won 5 · lost 20
Gemini 2.5 Prowon 5 · lost 20
Mistral Large 4won 4 · lost 17
Kimi K2.6won 4 · lost 17
MiMo V2.5 Prowon 4 · lost 17
Grok 4 Fastwon 3 · lost 14
GPT-4owon 4 · lost 19
Qwen3.7 Maxwon 4 · lost 19
Claude Haiku 4.5won 4 · lost 20
GPT-4.1 miniwon 4 · lost 21
Kimi K2won 4 · lost 21
Claude 3.5 Sonnetwon 3 · lost 17
MiMo V2.6 Prowon 3 · lost 18
GPT-6 Lunawon 3 · lost 19
GLM-5.1won 3 · lost 19
Gemini 3.5 Flashwon 3 · lost 20
Grok 4.20won 2 · lost 14
Inklingwon 3 · lost 21
Grok 4.5won 3 · lost 21
Qwen3.8 Maxwon 3 · lost 21
Gemini 3.8 Flashwon 3 · lost 21
Qwen3 235B A22B Instructwon 3 · lost 22
GPT-5 miniwon 3 · lost 23
GPT-5.4 nanowon 2 · lost 17
Grok 3 Miniwon 2 · lost 18
Claude Opus 4.6won 2 · lost 18
Claude Sonnet 4.6won 2 · lost 19
Gemini 3 Prowon 2 · lost 20
Muse Spark 1.1won 2 · lost 20
Claude Opus 5won 2 · lost 21
GPT-5.6 Lunawon 2 · lost 22
GPT-4.1won 2 · lost 23
Claude Haiku 5.5won 1 · lost 15
Qwen3.6 Pluswon 1 · lost 15
Gemini 4 Argonwon 1 · lost 15
MiniMax M2.5won 1 · lost 16
GLM-4.7won 1 · lost 16
GLM-5won 1 · lost 16
GPT-6 Astrawon 1 · lost 16
Inkling Smallwon 1 · lost 17
GPT-5.4 miniwon 1 · lost 17
Gemini 3.5 Flash-Litewon 1 · lost 17
Gemini 3.1 Prowon 1 · lost 17
Gemini 2.5 Flash-Litewon 1 · lost 18
Claude Opus 4.5won 1 · lost 18
Claude 3.7 Sonnetwon 1 · lost 21
GPT-5 nanowon 1 · lost 22
Claude Opus 4won 1 · lost 22
GPT-5.1won 1 · lost 22
O4 Miniwon 1 · lost 23
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
GPT-5.6 Solwon 1 · lost 23
Claude Opus 4.7won 1 · lost 23
Claude Sonnet 4won 1 · lost 24
O3won 1 · lost 24
Claude Sonnet 4.5won 1 · lost 25
Claude Sonnet 5.5won 0 · lost 16
GPT-6.1 Solwon 0 · lost 16
Muse Spark 1.2won 0 · lost 16
DeepSeek V4.1 Flashwon 0 · lost 17
Gemini 3.7 Flashwon 0 · lost 17
Qwen3.8 27Bwon 0 · lost 18
GLM-5.3won 0 · lost 18
Kimi K3won 0 · lost 18
Claude Fable 5.1won 0 · lost 18
Claude Fable 5won 0 · lost 18
O1won 0 · lost 21
MiniMax M2.7won 0 · lost 21
Grok 4.7won 0 · lost 21
Claude Opus 5.5won 0 · lost 22
Claude Sonnet 5won 0 · lost 23
GPT-5.2won 0 · lost 24
GPT-5won 0 · lost 25

§ 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 1322
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA -206
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 8.9%
BFCL ↗1 measureread 2026-11-10
BFCL v4 33.05%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 33.3%
Vals.ai ↗8 measuresread 2026-11-10
Vals · LegalBench 61.06%Vals · CorpFin 42.08%Vals · TaxEval 60.75%Vals · MortgageTax 52.82%Vals · MedQA 68.22%Vals · GPQA Diamond 50.76%Vals · MMLU Pro 63.48%Vals · AIME 26.46%
HELM Safety ↗5 measuresread 2026-11-10
HELM Safety · HarmBench 86.8%HELM Safety · SimpleSafetyTests 99%HELM Safety · Anthropic Red Team 99.6%HELM Safety · BBQ 87.5%HELM Safety · XSTest 96%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 9.7%Enkrypt · Harmful content risk 40%Enkrypt · CBRN risk 10.5%Enkrypt · Toxicity risk 3.9%Enkrypt · Bias risk 87.1%Enkrypt · Insecure code risk 12.4%

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