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Claude Opus 4.5 (High, 32K, 20251101)

Anthropic

Strongest in Tool use (#1 of 81), weakest in Safety (#202 of 331). Above par in 17 of 22 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5 and Claude Fable 5.1 and ahead of GPT-5.1 and Grok 4.7.

§ 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.

Agents60#16/289
Tool use74#1/81
Professional56.6#18/188
Medical58.4#19/149
Finance57.2#26/161
Legal55.7#36/164
Human preference63.8#35/350
Human preference63.8#35/350
Reasoning55.2#39/190
Mathematics55.9#42/150
Science56.8#45/122
Reasoning53.6#49/144
Knowledge53.1#55/191
Academic knowledge57.5#31/123
Core abilities53.7#65/225
General intelligence63.6#13/214
Language54.2#25/62
Instruction following40.3#50/62
Coding44#133/176
Agentic coding43.7#129/169
Safety49.3#202/331
Factual grounding47.7#68/102

§ 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 4.5 (High, 32K, 20251101), left for the other.

GLM-4.5won 14 · lost 0
Mistral Medium 3.5won 16 · lost 0
Mistral Large 3won 19 · lost 0
GPT-4.1 nanowon 18 · lost 1
Command A (03-2025)won 18 · lost 1
Llama 4 Scout Instructwon 17 · lost 1
Grok 4.1 Fastwon 17 · lost 1
GPT-4o miniwon 16 · lost 1
GPT OSS 20Bwon 14 · lost 1
Mistral Smallwon 13 · lost 1
Claude Haiku 4.5won 18 · lost 2
GPT OSS 120Bwon 17 · lost 2
GLM-4.6won 17 · lost 2
Kimi K2.5won 17 · lost 2
GPT-5 nanowon 16 · lost 2
Gemini 2.5 Flash-Litewon 15 · lost 2
Inkling Smallwon 15 · lost 2
Gemma 4 31Bwon 15 · lost 2
MiniMax M2.1won 14 · lost 2
Llama 3.3 70B Instructwon 13 · lost 2
Qwen3 Maxwon 13 · lost 2
Mistral Largewon 12 · lost 2
MiMo V2.5won 12 · lost 2
GPT-5.4 nanowon 18 · lost 3
Inklingwon 18 · lost 3
MiniMax M3won 18 · lost 3
Kimi K2won 17 · lost 3
DeepSeek V3.2won 17 · lost 3
GPT-4.1 miniwon 16 · lost 3
DeepSeek V3won 16 · lost 3
Qwen3 235B A22B Instructwon 16 · lost 3
Gemini 3.5 Flash-Litewon 16 · lost 3
Grok 4 Fastwon 15 · lost 3
Grok 3won 15 · lost 3
DeepSeek R1won 15 · lost 3
Gemini 3.1 Flash-Litewon 15 · lost 3
Grok 4.3won 15 · lost 3
Gemini 2.0 Flashwon 14 · lost 3
Grok 3 Miniwon 14 · lost 3
GLM-4.7won 14 · lost 3
Qwen3.6 Pluswon 14 · lost 3
O3 Miniwon 13 · lost 3
Claude 3.7 Sonnetwon 13 · lost 3
GLM-5.2won 17 · lost 4
O1won 12 · lost 3
MiMo V2.5 Prowon 12 · lost 3
GPT-5 miniwon 16 · lost 4
O4 Miniwon 16 · lost 4
Gemini 2.5 Flashwon 16 · lost 4
GPT-5.4 miniwon 16 · lost 4
O3won 15 · lost 4
Claude 3.5 Haikuwon 11 · lost 3
MiMo V2.6 Flashwon 11 · lost 3
Claude Opus 4.1won 11 · lost 3
Claude Opus 4won 14 · lost 4
GPT-6 Lunawon 14 · lost 4
GPT-4owon 13 · lost 4
Mistral Large 4won 13 · lost 4
MiniMax M2.7won 12 · lost 4
GLM-5.1won 12 · lost 4
GPT-4.1won 15 · lost 5
Qwen3.8 27Bwon 15 · lost 5
DeepSeek V4 Flashwon 15 · lost 5
Claude Sonnet 4won 14 · lost 5
Kimi K2 Thinkingwon 11 · lost 4
MiniMax M2.5won 13 · lost 5
Claude 3.5 Sonnetwon 10 · lost 4
GPT-5.6 Lunawon 15 · lost 6
Gemini 3 Flashwon 11 · lost 5
Grok 4won 13 · lost 6
GPT-5won 13 · lost 6
Gemini 2.5 Prowon 13 · lost 6
Qwen3.5 Flashwon 10 · lost 5
GLM-5won 12 · lost 6
Kimi K2.6won 12 · lost 7
Claude Haiku 5.5won 9 · lost 6
GLM-5.3 Flashwon 12 · lost 8
Qwen3.7 Maxwon 11 · lost 8
GLM-5.3won 11 · lost 8
Claude Sonnet 4.6won 12 · lost 9
GPT-5.2won 12 · lost 10
MiMo V2.6 Prowon 8 · lost 7
Grok 4.7won 9 · lost 8
GPT-5.1won 9 · lost 8
Claude Sonnet 5won 10 · lost 11
Grok 4.5won 9 · lost 11
Grok 4.6won 8 · lost 12
Qwen3.8 Maxwon 8 · lost 12
Gemini 3 Prowon 8 · lost 12
DeepSeek V4.1 Flashwon 7 · lost 11
Muse Spark 1.1won 7 · lost 11
Muse Spark 1.2won 7 · lost 11
GPT-5.6 Terrawon 8 · lost 13
GPT-6 Solwon 7 · lost 12
Gemini 3.5 Flashwon 7 · lost 12
Gemini 3.6 Flashwon 7 · lost 12
Gemini 3.8 Flashwon 6 · lost 14
GPT-5.4won 6 · lost 15
Gemini 3.1 Prowon 6 · lost 15
Muse Spark 1.3won 4 · lost 11
Gemini 3.7 Flashwon 5 · lost 14
GPT-5.6 Solwon 5 · lost 16
GPT-6.1 Solwon 4 · lost 13
GPT-6 Astrawon 4 · lost 15
Claude Opus 4.6won 4 · lost 16
GPT-5.5won 4 · lost 17
Kimi K3won 3 · lost 16
Claude Opus 4.7won 3 · lost 18
Gemini 4 Argonwon 2 · lost 14
Claude Sonnet 5.5won 2 · lost 15
Claude Opus 5.5won 2 · lost 16
Claude Opus 4.8won 2 · lost 18
Muse Sparkwon 1 · lost 13
Muse Wonderwon 1 · lost 14
Claude Opus 5won 1 · lost 19
Claude Fable 5.1won 0 · lost 19
Claude Fable 5won 0 · lost 19

§ 3 · Sources

Where the numbers come from

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

LMArena Text ↗1 measureread 2026-10-21
LMArena Text 1474
ARC-AGI-2 ↗1 measureread 2026-10-21
ARC-AGI-2 37.6%
LiveBench 1.0 ↗8 measuresread 2026-10-21
LiveBench 1.0 72.6LiveBench 1.0 · Reasoning 80.1LiveBench 1.0 · Coding 79.7LiveBench 1.0 · Agentic Coding 39.7LiveBench 1.0 · Mathematics 90.4LiveBench 1.0 · Data Analysis 74.4LiveBench 1.0 · Language 81.3LiveBench 1.0 · Instruction Following 62.5
BFCL ↗1 measureread 2026-10-21
BFCL v4 77.47%
Kagi LLM Benchmark ↗1 measureread 2026-10-21
Kagi LLM Benchmark 80.2%
SimpleBench ↗1 measureread 2026-10-21
SimpleBench 62%
Vals.ai ↗13 measuresread 2026-10-21
Vals · CaseLaw 62.59%Vals · LegalBench 84.6%Vals · CorpFin 65.07%Vals · TaxEval 74.86%Vals · MortgageTax 67.69%Vals · MedQA 95.88%Vals · MedCode 49.16%Vals · MedScribe 85.32%Vals · SWE-bench Verified 76.4% (Mini-SWE-agent)Vals · Vibe Code Bench 20.63% (OpenHands)Vals · GPQA Diamond 85.86%Vals · MMLU Pro 87.26%Vals · AIME 95.42%
Vectara · Factual consistency 89.1%

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