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Claude Opus 5.5

Anthropic

Strongest in Knowledge work (#1 of 208), weakest in Toxicity avoidance (#119 of 268). Above par in 32 of 34 scopes. Among the models it meets almost everywhere, it finishes behind none and ahead of Gemini 4 Argon and Claude Fable 5.1.

§ 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.

Knowledge62.5#1/197
Document parsing63.3#1/83
Coding66.2#1/179
Agentic coding66.9#1/173
Agents65.9#2/298
Knowledge work70.7#1/208
Web research63.9#1/35
Long-horizon work69.4#4/31
Computer use61#14/68
Reasoning64.6#2/195
Mathematics63.8#1/152
Reasoning66.4#3/147
Human preference66.8#4/354
Human preference66.8#4/354
Professional58#8/194
Document design65.9#2/31
IT operations64.4#4/33
Biology research64.2#4/31
Medical60.5#8/149
Finance57#30/162
Cybersecurity41.4#39/47
Legal54#54/173
Safety59.5#10/329
Secure code66#2/270
Fairness70#3/292
Harm refusal58.2#23/292
Jailbreak resistance59.9#48/268
Factual grounding50.1#58/104
Toxicity avoidance54.5#119/268
Core abilities60.4#12/199
General intelligence68.1#2/178
Data analysis58.9#7/31
Language60.8#9/62
Instruction following45.9#39/62

§ 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 5.5, left for the other.

Step 5won 21 · lost 0
GPT-4.1 nanowon 22 · lost 0
GPT-4.1 miniwon 22 · lost 0
O4 Miniwon 22 · lost 0
Kimi K2won 22 · lost 0
GPT OSS 120Bwon 23 · lost 0
Kimi K2.5won 24 · lost 0
GPT-6 Lunawon 32 · lost 1
Mistral Large 4won 28 · lost 1
Gemma 4 31Bwon 26 · lost 1
DeepSeek V4 Flashwon 25 · lost 1
Kimi K2.6won 23 · lost 1
GLM-5.2won 23 · lost 1
DeepSeek V3won 22 · lost 1
DeepSeek R1won 22 · lost 1
DeepSeek V3.2won 22 · lost 1
MiMo V2.6 Flashwon 22 · lost 1
Qwen3.7 Maxwon 22 · lost 1
Gemini 2.5 Flashwon 21 · lost 1
Qwen3 235B A22B Instructwon 21 · lost 1
GLM-4.6won 21 · lost 1
Grok 4.3won 21 · lost 1
GPT-4o miniwon 20 · lost 1
Grok 3won 20 · lost 1
Grok 4won 20 · lost 1
Gemini 3.6 Flashwon 24 · lost 2
Qwen3.8 27Bwon 23 · lost 2
Claude Sonnet 4won 22 · lost 2
Gemini 2.5 Prowon 21 · lost 2
GPT-4.1won 20 · lost 2
GPT-5.6 Terrawon 29 · lost 3
Llama 4 Scout Instructwon 19 · lost 2
GPT-4owon 19 · lost 2
Command Awon 19 · lost 2
GPT-5.4 nanowon 19 · lost 2
Claude Opus 4won 19 · lost 2
Gemini 3.1 Prowon 19 · lost 2
Grok 4.6won 27 · lost 3
Qwen3.8 Maxwon 27 · lost 3
GPT-5.6 Lunawon 25 · lost 3
GPT-6 Solwon 25 · lost 3
MiMo V2.6 Prowon 25 · lost 3
Claude Haiku 5.5won 24 · lost 3
DeepSeek V4 Prowon 24 · lost 3
MiniMax M3won 23 · lost 3
Grok 4.5won 23 · lost 3
Gemini 3.5 Flashwon 22 · lost 3
Gemini 3.8 Flashwon 29 · lost 4
GPT-5 miniwon 21 · lost 3
Claude Sonnet 4.5won 21 · lost 3
GLM-5.3 Flashwon 28 · lost 4
Claude Sonnet 4.6won 20 · lost 3
GPT-5.6 Solwon 26 · lost 4
Claude Haiku 4.5won 19 · lost 3
O3won 19 · lost 3
Claude Opus 4.6won 19 · lost 3
DeepSeek V4.1 Flashwon 25 · lost 4
Kimi K3won 21 · lost 4
GPT-5.2won 20 · lost 4
GPT-5won 19 · lost 4
Muse Spark 1.3won 19 · lost 4
GPT-5.1won 17 · lost 4
GPT-5.4won 21 · lost 5
Grok 4.7won 25 · lost 6
Inklingwon 24 · lost 6
GPT-5.5won 21 · lost 6
Claude Opus 4.7won 20 · lost 6
Claude Sonnet 5.5won 20 · lost 7
GPT-6.1 Solwon 20 · lost 7
Muse Wonderwon 17 · lost 6
Claude Sonnet 5won 19 · lost 7
Claude Opus 4.8won 18 · lost 7
GPT-6 Astrawon 20 · lost 8
Muse Spark 1.1won 16 · lost 7
Claude Opus 5won 18 · lost 8
Claude Fable 5won 13 · lost 8
Claude Fable 5.1won 15 · lost 10
Gemini 4 Argonwon 13 · lost 12

§ 3 · Sources

Where the numbers come from

13 publications, 48 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1506
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 59
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1866
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1801
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 65.8% (Claude Code)
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 91.7%
LiveBench ↗8 measuresread 2026-11-10
LiveBench 83.4LiveBench · Agentic 72.8LiveBench · Reasoning 92.2LiveBench · Coding 87.1LiveBench · Browser Use 88.4LiveBench · Data Analysis 80.3LiveBench · Research 88.9LiveBench · Design 83.3
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 83.2LiveBench 1.0 · Reasoning 92.2LiveBench 1.0 · Coding 89.3LiveBench 1.0 · Agentic Coding 71.7LiveBench 1.0 · Mathematics 97.1LiveBench 1.0 · Data Analysis 80.3LiveBench 1.0 · Language 86.3LiveBench 1.0 · Instruction Following 65.7
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 88.4%
Vals.ai ↗12 measuresread 2026-11-10
Vals · Legal Research Bench 50.48%Vals · Harvey Legal Agent Benchmark 9.17%Vals · Finance Agent 58.59%Vals · MedCode 49.8%Vals · MedScribe 91.43%Vals · BioMysteryBench 79.26%Vals · CyberBench 55.36%Vals · SRE Bench 33.59%Vals · Web Search Index 57.54% (Parallel Fast)Vals · Vibe Code Bench 90.29% (OpenHands)Vals · Code Migration 66.65%Vals · ProofBench 100%
ParseBench ↗6 measuresread 2026-11-10
ParseBench · Overall 78.8%ParseBench · Tables 94.26%ParseBench · Charts 70.89%ParseBench · Content faithfulness 91.25%ParseBench · Semantic formatting 77.06%ParseBench · Visual grounding 60.56%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 4.5%Enkrypt · Harmful content risk 1.7%Enkrypt · CBRN risk 10.2%Enkrypt · Toxicity risk 3.1%Enkrypt · Bias risk 25.6%Enkrypt · Insecure code risk 0.4%
Vectara · Factual consistency 90.1%

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