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Claude Opus 5.5 by Anthropic scores 86.68 overall, costs $4.00 per 1M input tokens and $20.00 per 1M output tokens, and carries a context window of 1M tokens — observed 2026-10-23.
Anthropic · Proprietary · rank 1 · bench-align-v5
Seven axes from the ranking source. A missing axis is drawn as a gap.
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: Observed
| Measurement | Value | Observed | Last good | Evidence |
|---|---|---|---|---|
| Time to first token | 573.15 s | 2026-10-23 | 2026-10-23 | |
| Throughput | 95 tok/s | 2026-10-23 | 2026-10-23 |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Every published price component, including cache reads and writes.
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
83 matched benchmark rows with their published value, unit, and provenance.
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| HealthBench (raw) HealthBench raw score | 68.1 | 5,000 multi-turn patient conversations | Realistic healthcare conversations | HealthBench: Evaluating Large Language Models Towards Improved Human Health |
| HealthBench (length-adjusted) HealthBench length-adjusted score | 60.6 | 5,000 multi-turn patient conversations | Realistic healthcare conversations | HealthBench: Evaluating Large Language Models Towards Improved Human Health |
| HealthBench Professional (raw) HealthBench Professional raw score | 77.1 | 525 physician-authored conversations | Professional clinical tasks | HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats |
Lifecycle events the source associates with this model, plus what this profile does not claim.
| BioMysteryBench (human-solvable) BioMysteryBench Human Solvable | 89.3 | Human-solvable computational biology investigations | Expert computational biology | Claude Opus 5 System Card |
| BioMysteryBench (human-difficult) BioMysteryBench Human Difficult | 50.0 | Human-difficult computational biology investigations | Frontier computational biology | Claude Opus 5 System Card |
| SpatialBench Verified LatchBio SpatialBench Verified | 72.0 | 115 externally validated spatial transcriptomics problems | Professional bioinformatics | Claude Opus 5 System Card |
| SingleCellBench LatchBio SingleCellBench | 61.2 | 195 single-cell RNA sequencing problems | Professional bioinformatics | Claude Opus 5 System Card |
| Protein Design Anthropic Protein Design evaluation | 60.2 | Constrained protein-sequence design tasks | Computational protein design | Claude Opus 5 System Card |
| Protocols (troubleshooting) Molecular Biology Protocols Troubleshooting | 73.7 | Molecular-biology protocol troubleshooting | Expert laboratory protocols | Claude Opus 5 System Card |
| Protocols (understanding) Benchling Molecular Biology Protocols Understanding | 69.0 | Molecular-biology protocol extension | Expert laboratory protocols | Claude Opus 5 System Card |
| HLE Humanity's Last Exam | 67.7 | Expert-level questions | Frontier expert level | Humanity's Last Exam |
| Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index | 57.6 | Cross-benchmark intelligence index | Display-only external reference | Artificial Analysis |
| AA-HLE Artificial Analysis Humanity's Last Exam | 61.4 | Expert-level questions | Frontier expert reasoning | Artificial Analysis Humanity's Last Exam Benchmark Leaderboard |
| AA-Omniscience Index Artificial Analysis Omniscience Index | 46.4 | Knowledge questions | Broad factual knowledge | AA-Omniscience: Knowledge and Hallucination Benchmark |
| AA-Omniscience Accuracy Artificial Analysis Omniscience Accuracy | 66.2 | Knowledge questions | Broad knowledge | Artificial Analysis model benchmarks |
| AA-Omniscience Hallucination Rate Artificial Analysis Omniscience Hallucination Rate | 58.6 | Knowledge questions | Factuality | Artificial Analysis model benchmarks |
| HealthBench Professional HealthBench Professional | 65.6 | Clinician chat tasks | Professional clinical workflows | HealthBench Professional: Evaluating Large Language Models on Real Clinician Chats |
| HLE w/o tools Humanity's Last Exam without tools | 64.4 | Expert-level questions | Frontier expert level | Introducing GPT-5.4 mini and nano |
| Morphology-to-molecule matching Axiom Bio morphology-to-molecule matching | 34.0 | Four multi-channel cell-imaging perturbation-matching tasks | Biomedical image and molecular reasoning | Claude Opus 5.5 System Card |
| Medicinal chemistry Anthropic medicinal-chemistry evaluation | 63.5 | 504 molecular-property questions | Medicinal chemistry reasoning | Claude Opus 5.5 System Card |
| Protein Design library ranking Anthropic protein-design library-ranking task | 56.0 | 83 protein-design library-ranking problems | Computational protein design | Claude Opus 5.5 System Card |
| De novo protein-binder design Anthropic de novo protein-binder design evaluation | 82.6 | 15 protein targets | Long-horizon computational protein design | Claude Opus 5.5 System Card |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| SWE-bench Pro SWE-bench Pro | 89.9 | 1,865 repository problems | Long-horizon professional engineering | SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? |
| FrontierCode 1.1 Main FrontierCode 1.1 Main | 54.4 | 100 private Main tasks (150 in Extended) | Frontier coding-agent quality | FrontierCode leaderboard |
| FrontierCode 1.1 Extended FrontierCode 1.1 Extended | 63.6 | 150 private software-engineering tasks | Frontier coding-agent quality | FrontierCode leaderboard |
| SWE Multilingual SWE Multilingual | 93.9 | Multilingual software-engineering tasks | Professional software engineering | MiniMax M2.7: Early Echoes of Self-Evolution |
| SWE Multimodal SWE-bench Multimodal | 61.4 | Multimodal software engineering tasks | Frontier multimodal coding | SWE-bench Multimodal |
| ProgramBench ProgramBench: Can Language Models Rebuild Programs From Scratch? | 91.2 | 200 program reconstruction tasks | Full-repository software architecture | ProgramBench: Can Language Models Rebuild Programs From Scratch? |
| FrontierSWE v2 FrontierSWE v2 | 62.3 | 34 ultra-long-horizon engineering and research tasks | Ultra-long-horizon frontier software engineering | FrontierSWE v2 |
| Bug Hunt Bench Bug Hunt Bench | 41.7 | 105 planted bugs across two production TypeScript repositories | Blind production-repository bug finding and repair | Bug Hunt Bench method, caveats, and definitions |
| AA-SciCode Artificial Analysis SciCode | 66.9 | Scientific coding subproblems | Scientific programming | Artificial Analysis SciCode Benchmark Leaderboard |
| DeepSWE DeepSWE | 74.2 | 113 software engineering tasks across 91 repositories and 5 languages | Long-horizon software engineering | DeepSWE benchmark blog |
| PostTrainBench v1.1 PostTrainBench v1.1 | 49.3 | Post-training Qwen3 1.7B and 4B, SmolLM3 3B, and Gemma3 4B | Frontier agent evaluation | PostTrainBench v1.1 leaderboard and methodology |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| FrontierMath v2 (Tiers 1-3) FrontierMath v2 Tiers 1-3 | 91.228 | 285 private advanced mathematics problems | From olympiad-plus to early research mathematics | FrontierMath v2 benchmark hub |
| FrontierMath v2 (Tier 4) FrontierMath v2 Tier 4 | 95.000 | 41 private extreme-difficulty mathematics problems | Research-level mathematics requiring hours or days of expert work | FrontierMath Tier 4 v2 leaderboard |
| ArXivMath Aug. 2026 (no tools) ArXivMath August 2026 without tools | 91.2 | 57 recent research-mathematics problems | Research mathematics | Claude Opus 5.5 System Card |
| ArXivMath Aug. 2026 (tools) ArXivMath August 2026 with tools | 96.9 | 57 recent research-mathematics problems | Research mathematics | Claude Opus 5.5 System Card |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| ARC-AGI-1 ARC-AGI-1 Semi-Private Evaluation | 97.50 | Semi-private ARC-AGI-1 evaluation set | Abstract visual reasoning | ARC Prize leaderboard |
| ARC-AGI-2 Abstraction and Reasoning Corpus for AGI v2 | 91.666667 | Visual pattern completion and abstract reasoning | Expert-level — hardest public reasoning benchmark | ARC-AGI-2: A Harder General Intelligence Benchmark |
| AA-LCR Artificial Analysis Long Context Reasoning | 84.7 | Long-context reasoning tasks | Long-context reasoning | Artificial Analysis model benchmarks |
| MLCR-AA Medical Long Context Reasoning (MLCR-AA) | 66.7 | Long, fragmented medical-record reasoning | Long-context medical reasoning | Medical Long Context Reasoning (MLCR-AA) |
| CritPt Critical Physics Tasks | 31.7 | Research-level physics questions | Research-level physics reasoning | CritPt Benchmark Leaderboard |
| GraphWalks BFS 256K–1M GraphWalks BFS 256K–1M | 66.8 | Breadth-first-search graph traversal on 200 problems with context lengths from 256K to 1M tokens. | Frontier agent evaluation | Gemini 4 Argon evaluation methodology |
| STEMBench STEMBench120: six-domain scientific research progress | 2.62 | 120 research tasks, 20 in each of six STEM domains | Open research targets; no run has reached a full-target success | STEMBench: six-domain model evaluation |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| GMMLU Global MMLU | 94.3 | Knowledge questions across 42 languages | Multilingual knowledge | Global MMLU: Understanding and addressing cultural and linguistic biases in multilingual evaluation |
| MILU Multi-task Indic Language Understanding Benchmark | 93.1 | Knowledge tasks across 11 languages | Multilingual Indic knowledge | MILU: A Multi-task Indic language understanding benchmark |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| LAB all-pass (Harvey held-out) Legal Agent Benchmark all-pass rate — Harvey held-out set | 8.3 | Harvey-held-out legal-agent tasks | Professional legal work | Claude Opus 5 System Card |
| LAB criterion-pass (Harvey held-out) Legal Agent Benchmark mean criterion-pass rate — Harvey held-out set | 91.2 | Harvey-held-out legal-agent tasks | Professional legal work | Claude Opus 5 System Card |
| Toolathlon Verified Pass@3 Toolathlon Verified Pass@3 | 82.4 | 108 verified real-world tool-use tasks | Long-horizon application tool use | Claude Opus 5 System Card |
| Toolathlon Verified Pass³ Toolathlon Verified Pass cubed | 72.2 | 108 verified real-world tool-use tasks | Long-horizon application tool use | Claude Opus 5 System Card |
| Toolathlon Verified avg. turns Toolathlon Verified average assistant turns | 26.9 | 108 verified real-world tool-use tasks | Long-horizon application tool use | Claude Opus 5 System Card |
| Terminal-Bench 4.0 Terminal-Bench 4.0 | 66.40 | 66 professional computer-work tasks | Frontier autonomous knowledge work | Terminal-Bench 4.0 |
| Terminal-Bench-Science 0.1 Terminal-Bench-Science 0.1 | 58.7 | 70 expert-curated scientific research workflows | Frontier scientific research workflows | Terminal-Bench-Science 0.1 |
| AA Briefcase Artificial Analysis Briefcase | 1803 | Professional knowledge-work tasks | Professional work | Artificial Analysis Briefcase Benchmark Leaderboard |
| AA AutomationBench Artificial Analysis AutomationBench | 69.5 | Business-process automation tasks | Agentic automation | Artificial Analysis AutomationBench Benchmark Leaderboard |
| AA Harvey LAB v1.0 Artificial Analysis Harvey LAB-AA v1.0 | 91.2 | Legal agent tasks | Professional legal work | Artificial Analysis Harvey LAB-AA Benchmark Leaderboard |
| AA ITBench Artificial Analysis ITBench-AA | 38.2 | IT incident-response tasks | Enterprise IT operations | Artificial Analysis ITBench-AA Benchmark Leaderboard |
| HLE w/ tools Humanity's Last Exam with tools | 67.7 | Expert questions with tool use | Frontier tool-augmented reasoning | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA | 1846 | Agentic real-world work tasks | Professional agentic workflows | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA normalized | 68.3 | Economically valuable tasks | Professional agentic workflows | Artificial Analysis model benchmarks |
| AA Terminal-Bench 4.0 Artificial Analysis Terminal-Bench v4.0 | 59.6 | Terminal-based agent tasks | Agentic software engineering | Artificial Analysis Terminal-Bench v4.0 Benchmark Leaderboard |
| GDP.pdf Artificial Analysis GDP.pdf | 26.2 | Professional document-production tasks | Professional knowledge work | GDP.pdf Benchmark Leaderboard |
| AA-AnalystAgent Artificial Analysis AnalystAgent | 56.3 | Spreadsheet and document analysis questions | Business and data analysis | AA-AnalystAgent Benchmark Leaderboard |
| OSWorld 2.0 OSWorld 2.0 | 48.7 | 108 long-horizon computer-use workflows | Long-horizon professional workflows | OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks |
| Toolathlon-Verified Toolathlon-Verified | 77.8 | Verified multi-tool workflows | Advanced tool use | Kimi K3: Open Frontier Intelligence |
| AutomationBench AutomationBench | 40.0 | 600 public automation tasks | Long-horizon automation | Kimi K3: Open Frontier Intelligence |
| CWE-bench v1 CWE-bench v1 | 67.0 | Audit and patch held-out C/C++, Go, Java, TypeScript/JavaScript, Python, and Rust repositories | Frontier agent evaluation | CWE-bench v1 leaderboard and methodology |
| Hermes Index Hermes Index: agentic capability and cost per task inside Hermes Agent | 63.3 | Four suites: Hermes Bench (150 tasks), TerminalBench 4 without its 4 GPU tasks, TerminalBench Science and SkillsBench | Frontier agentic | Hermes Index: an agentic model leaderboard |
| Hermes Bench Hermes Bench: 150 agent tasks graded on the files and state the agent leaves behind | 76.7 | 150 tasks across 25 categories | Frontier agentic | Hermes Bench (Hermes Index) |
| MazeBench MazeBench: visual spatial reasoning in a 3D open world | 13 | 100 hidden gems across 256 rooms in one open world | Long-horizon spatial planning, with single puzzles that can take over one hundred moves | MazeBench Results |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| Chartography (no tools) Chartography without tools | 64.4 | 100 specialized chart types | Professional chart reasoning | Chartography |
| Chartography (tools) Chartography with image and code tools | 89.0 | 100 specialized chart types | Professional chart reasoning | Chartography |
| BenchCAD Vision2Code (no tools) BenchCAD Vision2Code voxel IoU without tools | 0.730 | 1,000-file Vision2Code subset | Programmatic CAD generation | BenchCAD: A comprehensive, industry-standard benchmark for programmatic CAD |
| BenchCAD Vision2Code (tools) BenchCAD Vision2Code voxel IoU with tools | 0.962 | 1,000-file Vision2Code subset | Programmatic CAD generation | BenchCAD: A comprehensive, industry-standard benchmark for programmatic CAD |
| OfficeQA OfficeQA | 78.9 | Historical Treasury Bulletin questions | Professional document reasoning | Claude Opus 5 System Card |
| AA-MMMU-Pro Artificial Analysis MMMU-Pro | 87.7 | Multimodal academic reasoning | Frontier multimodal | Artificial Analysis MMMU-Pro Benchmark Leaderboard |
| Design Arena Website Design Arena Website Elo | 1335 | Website generation comparisons | Design and website generation | OpenRouter Grok 4.3 benchmarks |
| OfficeQA Pro OfficeQA Pro | 67.7 | Document and spreadsheet tasks | Enterprise grounded reasoning | OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning |
| Biomedical image analysis Anthropic biomedical-image-analysis evaluation | 71.4 | 91 cases across 31 biomedical imaging tasks | Biomedical image analysis | Claude Opus 5.5 System Card |
| ParseBench ParseBench: document parsing for AI agents (LlamaIndex leaderboard) | 79.85 | 2,078 human-verified enterprise pages from insurance, finance and government documents | No method is strong on all five dimensions; charts and visual grounding separate the field | ParseBench: A Document Parsing Benchmark for AI Agents |
| ExtractBench (LlamaIndex) ExtractBench: schema-guided enterprise document extraction (LlamaIndex leaderboard) | 86.06 | 370 documents, 4,869 pages, 8 business domains, 67 document types, each with a JSON Schema | Short documents are near solved; long record lists and grounding separate systems | ExtractBench: A Benchmark for Schema-Guided Enterprise Document Extraction |
| ExtractBench Pro ExtractBench Pro: long-tail document extraction challenges (LlamaIndex) | 51 | 100 synthetic documents, 2,622 pages, 86 document types, six challenge groups | The best system completes 58 of 100 documents perfectly; several complete none | ExtractBench Pro leaderboard and challenge descriptions |
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| Gray Swan IPI (15 attempts) Gray Swan Indirect Prompt Injection, attack success at 15 attempts | 1.0 | Indirect prompt-injection attacks | Adversarial prompt injection | Gemini 4 Argon evaluation methodology |