Request a Pilot
‹ PublicAI Index

The LLM benchmark aggregator.

Claude Opus 5

Anthropic

Strongest in Finance (#1 of 162), weakest in Jailbreak resistance (#162 of 268). Above par in 31 of 33 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5.5 and Claude Fable 5.1 and ahead of GPT-6.1 Sol and GPT-6 Astra.

§ 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.

Professional60.9#2/194
Finance62.4#1/162
Medical66.5#1/149
Biology research64.1#6/31
Legal61.8#7/173
IT operations48.3#12/33
Cybersecurity50.4#31/47
Coding63.8#2/179
Agentic coding64.4#2/173
Repository Q&A66.7—/0✱
Agents63.9#5/298
Computer use66.9#2/68
Knowledge work67.6#8/208
Workflow automation57—/0✱
Reasoning63.1#7/195
Mathematics62.4#6/152
Science62.1#7/122
Reasoning64.4#9/147
Expert reasoning58.8—/0✱
Human preference65.2#13/354
Human preference65.2#13/354
Safety57.6#21/329
Secure code66#2/270
Fairness70#8/292
Toxicity avoidance55.8#84/268
Harm refusal52.8#111/292
Jailbreak resistance51.6#162/268
Knowledge55.4#37/197
Academic knowledge63#2/123
Multimodal understanding60.1—/19✱
Core abilities52.4#73/199
Language64#5/62
Instruction following42.6#46/62

§ 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, left for the other.

Gemma 4 31Bwon 20 · lost 0
Grok 4.1 Fastwon 21 · lost 0
GLM-5.1won 21 · lost 0
Gemini 2.5 Flashwon 22 · lost 0
GLM-4.6won 22 · lost 0
DeepSeek V3won 23 · lost 0
DeepSeek V3.2won 23 · lost 0
Grok 4.3won 24 · lost 0
GLM-5.2won 25 · lost 0
MiniMax M3won 27 · lost 0
GPT-6 Lunawon 26 · lost 1
Kimi K2.6won 24 · lost 1
Mistral Large 4won 23 · lost 1
Kimi K2.5won 23 · lost 1
Claude Sonnet 4.6won 23 · lost 1
GPT OSS 120Bwon 22 · lost 1
Gemini 2.5 Prowon 22 · lost 1
Grok 4won 21 · lost 1
Kimi K2won 21 · lost 1
Qwen3 235B A22B Instructwon 21 · lost 1
MiMo V2.6 Flashwon 21 · lost 1
Command Awon 20 · lost 1
Gemini 2.0 Flashwon 20 · lost 1
Grok 3won 20 · lost 1
MiMo V2.5 Prowon 20 · lost 1
GPT OSS 20Bwon 19 · lost 1
GPT-5.4 nanowon 19 · lost 1
Gemini 3.5 Flash-Litewon 19 · lost 1
GLM-5.3 Flashwon 26 · lost 2
DeepSeek V4 Flashwon 25 · lost 2
Qwen3.7 Maxwon 23 · lost 2
GPT-4.1 nanowon 21 · lost 2
GPT-4.1 miniwon 21 · lost 2
MiMo V2.6 Prowon 21 · lost 2
O3 Miniwon 20 · lost 2
GPT-4.1won 20 · lost 2
DeepSeek R1won 20 · lost 2
Llama 4 Scout Instructwon 19 · lost 2
Claude Haiku 5.5won 19 · lost 2
GPT-5.6 Lunawon 25 · lost 3
DeepSeek V4 Prowon 24 · lost 3
Gemini 3.6 Flashwon 24 · lost 3
Gemini 3.5 Flashwon 22 · lost 3
Claude Sonnet 4.5won 21 · lost 3
GPT-4o miniwon 19 · lost 3
GPT-4owon 19 · lost 3
Claude 3.7 Sonnetwon 19 · lost 3
O4 Miniwon 19 · lost 3
Claude Haiku 4.5won 19 · lost 3
GPT-5.1won 19 · lost 3
DeepSeek V4.1 Flashwon 19 · lost 3
Kimi K3won 19 · lost 3
Qwen3.8 27Bwon 18 · lost 3
GLM-5.3won 18 · lost 3
Qwen3.8 Maxwon 23 · lost 4
O1won 17 · lost 3
GPT-5.4won 21 · lost 4
Claude Sonnet 4won 20 · lost 4
GPT-5.2won 20 · lost 4
Gemini 3.8 Flashwon 24 · lost 5
GPT-5 miniwon 19 · lost 4
O3won 19 · lost 4
GPT-5won 19 · lost 4
GPT-5.6 Terrawon 23 · lost 5
MiniMax M2.7won 17 · lost 4
Claude Opus 4won 17 · lost 4
Gemini 3.1 Prowon 17 · lost 4
Claude Opus 4.6won 17 · lost 4
GPT-6 Solwon 21 · lost 5
Grok 4.5won 21 · lost 5
GPT-5.5won 21 · lost 5
Claude 3.5 Haikuwon 16 · lost 4
GPT-5 nanowon 16 · lost 4
Inklingwon 21 · lost 6
Claude Sonnet 5won 21 · lost 6
Claude Opus 4.8won 19 · lost 6
Muse Spark 1.1won 19 · lost 6
Muse Spark 1.2won 15 · lost 5
Claude Opus 4.7won 18 · lost 7
GPT-5.6 Solwon 20 · lost 8
Grok 4.6won 19 · lost 8
Grok 4.7won 18 · lost 8
Claude Fable 5won 13 · lost 7
Claude Sonnet 5.5won 13 · lost 8
GPT-6 Astrawon 13 · lost 9
GPT-6.1 Solwon 12 · lost 9
Claude Fable 5.1won 7 · lost 15
Claude Opus 5.5won 8 · lost 18

§ 3 · Sources

Where the numbers come from

11 publications, 53 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1489
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1730
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1655
Terminal-Bench ↗1 measureread 2026-11-10
Terminal-Bench 53.3% (Claude Code)
ARC-AGI-2 ↗1 measureread 2026-11-10
ARC-AGI-2 90.4%
LiveBench 1.0 ↗8 measuresread 2026-11-10
LiveBench 1.0 80.1LiveBench 1.0 · Reasoning 91.2LiveBench 1.0 · Coding 81.4LiveBench 1.0 · Agentic Coding 65.2LiveBench 1.0 · Mathematics 95.7LiveBench 1.0 · Data Analysis 74.6LiveBench 1.0 · Language 88.7LiveBench 1.0 · Instruction Following 63.8
OSWorld ↗1 measureread 2026-11-10
OSWorld 83.4%
SimpleBench ↗1 measureread 2026-11-10
SimpleBench 80.6%
Vals.ai ↗17 measuresread 2026-11-10
Vals · Legal Research Bench 55.29%Vals · LegalBench 86.97%Vals · Finance Agent 58.63%Vals · CorpFin 73.19%Vals · TaxEval 75.14%Vals · MortgageTax 72.06%Vals · MedCode 63.57%Vals · MedScribe 90.98%Vals · BioMysteryBench 79.26%Vals · CyberBench 65.36%Vals · SRE Bench 12.21%Vals · SWE-bench Verified 97% (Mini-SWE-agent)Vals · Vibe Code Bench 88.4% (OpenHands)Vals · Code Migration 57.47%Vals · GPQA Diamond 93.43%Vals · MMLU Pro 91.59%Vals · ProofBench 99%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 11.5%Enkrypt · Harmful content risk 0.6%Enkrypt · CBRN risk 25.2%Enkrypt · Toxicity risk 2.2%Enkrypt · Bias risk 40.8%Enkrypt · Insecure code risk 0.4%
GPQA Diamond (Pass@1) 93.4%HLE (Pass@1) 56.3%Terminal-Bench 2.1 (Pass@1) 89.1%Terminal-Bench 3.0 (Pass@1) 43.3%Terminal-Bench 4.0 (Pass@1) 51.8%DeepSWE v1.1 (Resolved) 74%ProgramBench (Almost@1) 37%NL2Repo-Bench (Score) 75.3%ExploitGym (Pass@1) 22.1%HLE w/ tools (Pass@1) 63.6%AutomationBench (Pass@1) 50.3%Agent's Last Exam (Pass@1) 28.6%Chartography w/ tools (Pass@1) 84%BabyVision w/ tools (Pass@1) 94.1%ZeroBench-main w/ tools (Pass@5) 52%

Badge

PublicAI Index badge for Claude Opus 5[![PublicAI Index](https://publicai.io/model-index/badge?model=claude-opus-5)](https://publicai.io/model-index/m/claude-opus-5)

✱ Placed by a one-off publication, not a board that re-ran the model. ✱✱ marks a figure the model’s own publisher printed, which counts for less again. Scores are 0–100 on the PublicAI Index scale, 50 = the average of the models each source lists. Scores belong to their publishers.

Snapshot 2026-11-10 · the full index · JSON API