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Claude Opus 4.7

Anthropic

Strongest in Harm refusal (#2 of 292, on 1 of its 2 boards), weakest in Fairness (#100 of 292). Above par in 25 of 28 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of Grok 4.7 and Gemini 3.1 Pro.

§ 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.

Human preference66.4#8/354
Human preference66.4#8/354
Professional58#9/194
Medical59.5#13/149
Legal59.2#15/173
Finance57.9#17/162
Reasoning58#21/195
Mathematics58.2#20/152
Science59.8#26/122
Reasoning56.9#38/147
Safety56.4#35/329
Harm refusal60.8#2/292
Jailbreak resistance63.3#9/268
Toxicity avoidance56.8#47/268
Factual grounding44.8#77/104
Secure code57.5#90/270
Fairness50.9#100/292
Knowledge55.3#38/197
Academic knowledge60.8#8/123
Document parsing54.6#36/83
Coding54.3#45/179
Agentic coding54.5#44/173
Agents55.7#50/298
Knowledge work59.1#52/208
Core abilities54.5#52/199
General intelligence63.7#12/178
Language49.8#36/62
Instruction following47.7#36/62

§ 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 Claude Opus 4.7, left for the other.

Magistral Small 1.2won 17 · lost 0
Mistral Medium 3.5won 17 · lost 0
Ling 3.0 Flashwon 18 · lost 0
Gemini 1.5 Prowon 18 · lost 0
Inkling Smallwon 18 · lost 0
Qwen3.6 Pluswon 18 · lost 0
Mistral Large 3won 20 · lost 0
Gemini 2.0 Flashwon 22 · lost 0
GPT-4o miniwon 23 · lost 0
GLM-5.2won 25 · lost 1
DeepSeek V3won 24 · lost 1
DeepSeek V3.2won 24 · lost 1
GPT-4.1 nanowon 23 · lost 1
GPT-4.1 miniwon 23 · lost 1
Grok 4.3won 23 · lost 1
Llama 4 Scout Instructwon 22 · lost 1
Command Awon 22 · lost 1
Grok 4.1 Fastwon 21 · lost 1
GPT-5.4 miniwon 20 · lost 1
Gemini 3.5 Flash-Litewon 20 · lost 1
GLM-5.1won 20 · lost 1
Kimi K2 Thinkingwon 19 · lost 1
Llama 3.3 70B Instructwon 19 · lost 1
Grok 3 Miniwon 18 · lost 1
GLM-4.5won 18 · lost 1
MiniMax M2.5won 17 · lost 1
Grok 4 Fastwon 17 · lost 1
GLM-4.7won 17 · lost 1
Command R+won 16 · lost 1
MiniMax M3won 24 · lost 2
GPT OSS 120Bwon 23 · lost 2
Kimi K2.5won 23 · lost 2
GLM-4.6won 22 · lost 2
Claude Sonnet 4.6won 22 · lost 2
GPT-5.4 nanowon 21 · lost 2
Grok 3won 21 · lost 2
Grok 4won 21 · lost 2
Gemma 4 31Bwon 20 · lost 2
GPT OSS 20Bwon 19 · lost 2
MiMo V2.5 Prowon 19 · lost 2
MiMo V2.6 Prowon 19 · lost 2
Gemini 3.1 Flash-Litewon 18 · lost 2
Gemini 2.5 Flash-Litewon 16 · lost 2
GLM-5won 16 · lost 2
DeepSeek V4 Flashwon 23 · lost 3
Gemini 3 Flashwon 15 · lost 2
GPT-6 Lunawon 22 · lost 3
Gemini 2.5 Prowon 22 · lost 3
Kimi K2.6won 22 · lost 3
Gemini 2.5 Flashwon 21 · lost 3
Claude Haiku 4.5won 21 · lost 3
GPT-4.1won 21 · lost 3
Kimi K2won 21 · lost 3
GPT-4owon 20 · lost 3
O3 Miniwon 19 · lost 3
MiniMax M2.7won 19 · lost 3
Claude Opus 4.5won 18 · lost 3
GLM-5.3 Flashwon 23 · lost 4
GPT-5 miniwon 22 · lost 4
GPT-5won 21 · lost 4
Qwen3 235B A22B Instructwon 20 · lost 4
Claude Sonnet 4.5won 20 · lost 4
GPT-5 nanowon 18 · lost 4
Claude 3.7 Sonnetwon 17 · lost 4
Qwen3.8 27Bwon 17 · lost 4
Inklingwon 21 · lost 5
Qwen3.8 Maxwon 21 · lost 5
Claude 3.5 Haikuwon 16 · lost 4
O1won 16 · lost 4
MiMo V2.6 Flashwon 16 · lost 4
O4 Miniwon 19 · lost 5
DeepSeek R1won 19 · lost 5
Mistral Large 4won 18 · lost 5
Claude Opus 4won 17 · lost 5
Gemini 3.6 Flashwon 20 · lost 6
Claude Sonnet 4won 19 · lost 6
GPT-5.6 Lunawon 20 · lost 7
O3won 17 · lost 6
GPT-5.1won 17 · lost 6
GPT-5.2won 19 · lost 7
Qwen3.7 Maxwon 18 · lost 7
GPT-5.4won 20 · lost 8
Claude Opus 4.6won 17 · lost 7
DeepSeek V4 Prowon 19 · lost 8
GLM-5.3won 14 · lost 6
Grok 4.5won 18 · lost 8
Claude 3.5 Sonnetwon 13 · lost 6
Claude Haiku 5.5won 13 · lost 6
Gemini 3 Prowon 14 · lost 7
Claude Sonnet 5won 17 · lost 9
Gemini 3.5 Flashwon 17 · lost 9
GPT-5.6 Terrawon 17 · lost 10
Muse Spark 1.1won 15 · lost 9
Grok 4.6won 16 · lost 10
Kimi K3won 12 · lost 8
Gemini 3.7 Flashwon 12 · lost 8
DeepSeek V4.1 Flashwon 12 · lost 9
Gemini 3.8 Flashwon 15 · lost 12
Gemini 3.1 Prowon 12 · lost 10
Grok 4.7won 12 · lost 11
Muse Spark 1.2won 9 · lost 9
GPT-6 Solwon 12 · lost 13
GPT-5.5won 12 · lost 16
GPT-5.6 Solwon 12 · lost 16
Claude Opus 4.8won 11 · lost 16
GPT-6 Astrawon 7 · lost 14
GPT-6.1 Solwon 6 · lost 13
Claude Opus 5won 7 · lost 18
Claude Sonnet 5.5won 5 · lost 14
Claude Opus 5.5won 6 · lost 20
Gemini 4 Argonwon 3 · lost 14
Claude Fable 5.1won 1 · lost 20
Claude Fable 5won 0 · lost 21

§ 3 · Sources

Where the numbers come from

11 publications, 42 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1501
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1362
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1252
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 75.8%
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 76.5LiveBench 1.0 · Reasoning 87.2LiveBench 1.0 · Coding 82.1LiveBench 1.0 · Agentic Coding 50.7LiveBench 1.0 · Mathematics 92.9LiveBench 1.0 · Data Analysis 78.3LiveBench 1.0 · Language 77.9LiveBench 1.0 · Instruction Following 66.7
Kagi LLM Benchmark ↗1 measureread 2026-11-10
Kagi LLM Benchmark 80.7%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 61.7%
Vals.ai ↗15 measuresread 2026-11-10
Vals · Legal Research Bench 38.46%Vals · CaseLaw 68.38%Vals · LegalBench 85.25%Vals · Finance Agent 51.51%Vals · CorpFin 66.08%Vals · TaxEval 75.27%Vals · MortgageTax 70.27%Vals · MedCode 54.86%Vals · MedScribe 82.95%Vals · SWE-bench Verified 82% (Mini-SWE-agent)Vals · Vibe Code Bench 71% (OpenHands)Vals · Code Migration 43.88%Vals · GPQA Diamond 90.15%Vals · MMLU Pro 89.87%Vals · AIME 96.25%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 63.34%ParseBench · Tables 87.17%ParseBench · Charts 55.84%ParseBench · Content faithfulness 90.26%ParseBench · Semantic formatting 69.42%ParseBench · Visual grounding 13.99%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 1.7%Enkrypt · Harmful content risk 0.6%Enkrypt · CBRN risk 3.7%Enkrypt · Toxicity risk 1.5%Enkrypt · Bias risk 76.5%Enkrypt · Insecure code risk 17.8%
Vectara · Factual consistency 88%

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