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GPT-4.1

OpenAI

Strongest in Legal (#12 of 173), weakest in Toxicity avoidance (#184 of 268). 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-5.3 Flash and DeepSeek V4 Flash.

§ 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.

Professional56.2#23/194
Legal60.1#12/173
Finance55.9#38/162
Medical54.1#54/149
Safety55.8#39/329
Safe-prompt compliance58.4#12/82
Factual grounding61#21/104
Harm refusal56.2#44/292
Secure code60.8#57/270
Jailbreak resistance56.7#88/268
Fairness50.3#110/292
Toxicity avoidance51#184/268
Agents54.9#59/298
Tool use61.7#16/81
Coding51.9#73/179
Agentic coding52#69/173
Core abilities49.9#99/199
General intelligence49.8#89/178
Knowledge49.6#117/197
Academic knowledge49.1#82/123
Human preference58.1#117/354
Human preference58.1#117/354
Reasoning40.5#167/195
Science42.6#94/122
Mathematics42.9#118/152
Reasoning37.6#131/147

§ 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
Command R+won 17 · lost 1
GPT-4.1 nanowon 23 · lost 2
GPT-4o miniwon 21 · lost 2
Llama 3.3 70B Instructwon 18 · lost 2
Magistral Small 1.2won 14 · lost 2
Mistral Medium 3.5won 14 · lost 2
Llama 4 Scout Instructwon 21 · lost 3
Gemini 1.5 Prowon 16 · lost 3
Gemma 4 31Bwon 16 · lost 4
GPT-4.1 miniwon 20 · lost 5
GPT-4owon 18 · lost 5
DeepSeek V3won 18 · lost 5
Gemini 2.5 Flash-Litewon 15 · lost 5
Claude 3.5 Haikuwon 14 · lost 5
GPT-5.4 nanowon 14 · lost 5
Mistral Large 3won 14 · lost 5
GPT OSS 120Bwon 18 · lost 7
Ling 3.0 Flashwon 12 · lost 5
Inkling Smallwon 12 · lost 5
Grok 4 Fastwon 12 · lost 6
GPT OSS 20Bwon 14 · lost 7
Grok 4.3won 14 · lost 7
Claude 3.5 Sonnetwon 13 · lost 7
MiniMax M2.1won 10 · lost 6
Grok 3won 15 · lost 9
Claude Haiku 4.5won 15 · lost 9
GPT-6 Lunawon 13 · lost 8
MiniMax M2.5won 11 · lost 7
MiMo V2.5 Prowon 12 · lost 8
Kimi K2.6won 13 · lost 9
Gemini 3.5 Flash-Litewon 10 · lost 7
Grok 4.1 Fastwon 13 · lost 10
DeepSeek V3.1won 9 · lost 7
Grok 4won 14 · lost 11
Gemini 3.1 Flash-Litewon 10 · lost 8
Mistral Large 4won 11 · lost 9
O3 Miniwon 12 · lost 10
GPT-5 nanowon 13 · lost 11
DeepSeek V3.2won 13 · lost 11
GLM-4.6won 13 · lost 11
GLM-4.7won 9 · lost 8
GLM-4.5won 10 · lost 9
GLM-5.1won 11 · lost 10
MiniMax M3won 12 · lost 11
DeepSeek V4 Flashwon 12 · lost 11
GLM-5.3 Flashwon 12 · lost 11
GPT-5.4 miniwon 9 · lost 9
Claude 3.7 Sonnetwon 11 · lost 11
Kimi K2.5won 12 · lost 12
DeepSeek V4 Prowon 12 · lost 12
O4 Miniwon 13 · lost 13
MiniMax M2.7won 10 · lost 11
MiMo V2.6 Flashwon 9 · lost 10
Qwen3.8 27Bwon 8 · lost 9
Gemini 2.5 Flashwon 12 · lost 14
Kimi K2won 12 · lost 14
Qwen3.7 Maxwon 10 · lost 12
Gemini 3.5 Flashwon 10 · lost 12
Gemini 3.6 Flashwon 10 · lost 12
Kimi K2 Thinkingwon 9 · lost 11
Grok 3 Miniwon 9 · lost 11
Gemini 3.1 Prowon 8 · lost 10
Claude Sonnet 4won 11 · lost 14
Gemini 2.5 Prowon 11 · lost 14
Gemini 3 Flashwon 7 · lost 9
GPT-5.6 Lunawon 10 · lost 13
GLM-5.2won 10 · lost 13
GPT-6 Solwon 9 · lost 12
Claude Sonnet 4.6won 9 · lost 12
GPT-5 miniwon 11 · lost 15
DeepSeek R1won 10 · lost 14
Inklingwon 9 · lost 14
Gemini 3.8 Flashwon 9 · lost 14
GLM-5won 7 · lost 11
Qwen3 235B A22B Instructwon 10 · lost 16
Grok 4.20won 6 · lost 10
Qwen3.8 Maxwon 8 · lost 14
Grok 4.5won 8 · lost 15
Gemini 3 Prowon 8 · lost 15
GPT-5.4won 8 · lost 16
Claude Sonnet 4.5won 8 · lost 18
Grok 4.6won 7 · lost 16
GPT-5.6 Terrawon 7 · lost 16
O1won 6 · lost 14
MiMo V2.6 Prowon 6 · lost 14
GPT-6 Astrawon 5 · lost 12
Claude Opus 4won 7 · lost 17
GPT-5.5won 7 · lost 17
GPT-5.6 Solwon 7 · lost 17
Claude Opus 4.6won 6 · lost 15
GPT-5won 7 · lost 18
Claude Opus 4.5won 5 · lost 15
DeepSeek V4.1 Flashwon 4 · lost 13
GPT-5.1won 5 · lost 17
Grok 4.7won 4 · lost 16
O3won 5 · lost 20
Claude Sonnet 5won 4 · lost 18
GLM-5.3won 3 · lost 14
GPT-5.2won 4 · lost 21
Muse Spark 1.1won 3 · lost 18
Gemini 3.7 Flashwon 2 · lost 14
Gemini 4 Argonwon 2 · lost 14
Claude Opus 4.7won 3 · lost 21
Claude Opus 5won 2 · lost 20
Claude Opus 5.5won 2 · lost 20
Claude Opus 4.8won 2 · lost 21
Kimi K3won 1 · lost 16
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 2026-11-10
LMArena Text 1415
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 0.4%
Aider polyglot ↗1 measureread 2026-11-10
Aider polyglot 52.4%
BFCL ↗1 measureread 2026-11-10
BFCL v4 53.96%
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 52.3%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 27%
Vals.ai ↗9 measuresread 2026-11-10
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 2026-11-10
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 2026-11-10
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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