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The LLM benchmark aggregator.

GPT-4.1

OpenAI

Strongest in Legal (#12 of 151), weakest in Toxicity avoidance (#186 of 272). Above par in 18 of 26 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of GLM-5.1 and GLM-4.5.

§ 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.

Professional56.4#22/168
Legal60.1#12/151
Finance55.9#36/151
Medical54.1#50/140
Safety55.8#39/337
Safe-prompt compliance58.4#12/82
Factual grounding61#20/101
Harm refusal56.2#44/300
Secure code61.1#56/274
Jailbreak resistance56.6#91/272
Fairness50.3#111/300
Toxicity avoidance51.1#186/272
Agents56.5#52/268
Tool use61.7#16/81
Coding51.7#62/165
Agentic coding52.1#59/157
Knowledge49.2#89/138
Academic knowledge49.1#82/123
Core abilities49.9#96/204
General intelligence49.8#97/204
Human preference58.5#108/342
Human preference58.5#108/342
Reasoning40.9#149/178
Science42.6#94/122
Mathematics42.9#105/140
Reasoning38.4#121/140

§ 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, left for the other.

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

§ 3 · Sources

Where the numbers come from

10 publications, 27 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26
LMArena Text 1415
ARC-AGI-2 ↗1 measureread 2026-09-26
ARC-AGI-2 0.4%
Aider polyglot ↗1 measureread 2026-09-26
Aider polyglot 52.4%
BFCL ↗1 measureread 2026-09-26
BFCL v4 53.96%
Kagi LLM Benchmark ↗1 measureread 2026-09-26
Kagi LLM Benchmark 52.3%
SimpleBench ↗1 measureread 2026-09-26
SimpleBench 27%
Vals.ai ↗9 measuresread 2026-09-26
Vals · CaseLaw 69.88%Vals · LegalBench 83.1%Vals · CorpFin 63.05%Vals · TaxEval 75.06%Vals · MortgageTax 65.94%Vals · MedQA 91.18%Vals · GPQA Diamond 65.4%Vals · MMLU Pro 80.5%Vals · AIME 39.58%
HELM Safety ↗5 measuresread 2026-09-26
HELM Safety · HarmBench 91.7%HELM Safety · SimpleSafetyTests 100%HELM Safety · Anthropic Red Team 99.3%HELM Safety · BBQ 92.6%HELM Safety · XSTest 97.9%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-09-26
Enkrypt · Jailbreak risk 7.2%Enkrypt · Harmful content risk 25%Enkrypt · CBRN risk 10%Enkrypt · Toxicity risk 5.5%Enkrypt · Bias risk 82.2%Enkrypt · Insecure code risk 11.1%
Vectara · Factual consistency 94.4%

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