Claude Opus 5
Anthropic · Proprietary · rank 3 · bench-align-v5
Canonical idclaude-opus-5
Access typeProprietary
Blended $/1M$10.0075% input / 25% output
Capability shape
Seven axes from the ranking source. A missing axis is drawn as a gap.
Runtime service evidence
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: ObservedUnavailable
| Measurement | Value | Observed | Last good | Evidence |
|---|---|---|---|---|
| Time to first token | 46.5 s | 2026-09-17 | 2026-09-17 | |
| Throughput | 52 tok/s | 2026-09-17 | 2026-09-17 |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Endpoint and price matrix
Every published price component, including cache reads and writes.
| Component | USD | Evidence |
|---|---|---|
| Input / 1M tokens | $5.00 | |
| Output / 1M tokens | $25.00 | |
| Cache read / 1M tokens | $0.50 | |
| Cache write / 1M tokens | $6.25 | |
| Blended / 1M (75% input / 25% output) | $10.00 |
Self-hosted listingAnthropic's July 24, 2026 Claude Opus 5 announcement lists the claude-opus-5 API model at $5 input / $25 output per million tokens, the same base price as Opus 4.8. Fast mode runs around 2.5× the default speed and is available at twice the base price.The rates above are a hosted price matched from another provider, not a first-party list price.
Workload-aware monthly cost example
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.
Benchmark record
97 matched benchmark rows with their published value, unit, and provenance.
Knowledge
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| HealthBench (raw) HealthBench raw score | 67.1 | 5,000 multi-turn patient conversations | Realistic healthcare conversations | Claude Opus 5 System Card |
| HealthBench (length-adjusted) HealthBench length-adjusted score | 57.8 | 5,000 multi-turn patient conversations | Realistic healthcare conversations | Claude Opus 5 System Card |
| HealthBench Professional (raw) HealthBench Professional raw score | 73.4 | 525 physician-authored conversations | Professional clinical tasks | Claude Opus 5 System Card |
| BioMysteryBench (human-solvable) BioMysteryBench Human Solvable | 90.1 | Human-solvable computational biology investigations | Expert computational biology | Claude Opus 5 System Card |
| BioMysteryBench (human-difficult) BioMysteryBench Human Difficult | 49.4 | Human-difficult computational biology investigations | Frontier computational biology | Claude Opus 5 System Card |
| SpatialBench Verified LatchBio SpatialBench Verified | 72.5 | 115 externally validated spatial transcriptomics problems | Professional bioinformatics | Claude Opus 5 System Card |
| SingleCellBench LatchBio SingleCellBench | 60.6 | 195 single-cell RNA sequencing problems | Professional bioinformatics | Claude Opus 5 System Card |
| ProteinGym Hard ProteinGym Hard | 47.7 | Hard protein mutation-effect ranking tasks | Computational protein science | Claude Opus 5 System Card |
| Protein Design Anthropic Protein Design evaluation | 42.5 | Constrained protein-sequence design tasks | Computational protein design | Claude Opus 5 System Card |
| Organic chemistry V2 Anthropic Organic Chemistry V2 evaluation | 61.6 | Organic chemistry reasoning tasks | Expert organic chemistry | Claude Opus 5 System Card |
| Protocols (troubleshooting) Molecular Biology Protocols Troubleshooting | 61.1 | Molecular-biology protocol troubleshooting | Expert laboratory protocols | Claude Opus 5 System Card |
| Protocols (understanding) Benchling Molecular Biology Protocols Understanding | 78.4 | Molecular-biology protocol extension | Expert laboratory protocols | Claude Opus 5 System Card |
| HLE Humanity's Last Exam | 64.7 | Expert-level questions | Frontier expert level | Humanity's Last Exam |
| HLE-Verified HLE-Verified | 54.4 | 1,811 verified or revised expert questions | Frontier multidisciplinary expert reasoning | HLE-Verified: A Systematic Verification and Structured Revision of Humanity's Last Exam |
| LABBench2 LABBench2: An Improved Benchmark for AI Systems Performing Biology Research | 84.2 | Nearly 1,900 biology-research tasks | Real-world biology research | LABBench2: An Improved Benchmark for AI Systems Performing Biology Research |
| Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index | 50.7 | Cross-benchmark intelligence index | Display-only external reference | Artificial Analysis |
| AA-GPQA Diamond Artificial Analysis GPQA Diamond | 93.2 | Graduate-level science questions | Graduate-level science reasoning | Artificial Analysis GPQA Diamond Benchmark Leaderboard |
| AA-HLE Artificial Analysis Humanity's Last Exam | 54.9 | Expert-level questions | Frontier expert reasoning | Artificial Analysis Humanity's Last Exam Benchmark Leaderboard |
| AA-Omniscience Index Artificial Analysis Omniscience Index | 37.1 | Knowledge questions | Broad factual knowledge | AA-Omniscience: Knowledge and Hallucination Benchmark |
| AA-Omniscience Accuracy Artificial Analysis Omniscience Accuracy | 60.9 | Knowledge questions | Broad knowledge | Artificial Analysis model benchmarks |
| AA-Omniscience Hallucination Rate Artificial Analysis Omniscience Hallucination Rate | 60.8 | Knowledge questions | Factuality | Artificial Analysis model benchmarks |
| HealthBench Professional HealthBench Professional | 59.8 | 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 | 56.3 | Expert-level questions | Frontier expert level | Introducing GPT-5.4 mini and nano |
| GPQA Diamond (Vals) GPQA Diamond, Vals AI run | 93.4 | Graduate-level science questions | Expert reasoning | Vals AI GPQA Diamond, Vals AI run leaderboard |
| MMLU-Pro (Vals) MMLU-Pro, Vals AI run | 91.6 | Academic multiple-choice questions | Broad academic knowledge | Vals AI MMLU-Pro, Vals AI run leaderboard |
Coding
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| ProgramBench (episode 1) ProgramBench hidden-test pass rate after episode 1 | 83.0 | 166 golden program-reconstruction tasks | Long-context clean-room software engineering | ProgramBench: Can language models rebuild programs from scratch? |
| SWE-bench Verified Software Engineering Benchmark Verified | 96 | 500 verified issues | Professional software engineering | SWE-bench: Can Language Models Resolve Real-World GitHub Issues? |
| SWE-bench Pro SWE-bench Pro | 79.2 | 1,865 repository problems | Long-horizon professional engineering | SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? |
| VulcanBench v3 VulcanBench v3 | 87.0 | 23 post-cutoff repository tasks in the v3 report | Professional multi-file software engineering | VulcanBench |
| VulcanBench CII v1 VulcanBench Coding Intelligence Index v1 | 96.4 | 38 validated post-cutoff repository tasks | Mid-band frontier software engineering | CII v1 frontier results |
| FrontierCode 1.1 Main FrontierCode 1.1 Main | 53.4 | 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 | GPT-5.6 models are now available in Devin |
| SWE Multilingual SWE Multilingual | 89.5 | Multilingual software-engineering tasks | Professional software engineering | MiniMax M2.7: Early Echoes of Self-Evolution |
| SWE Multimodal SWE-bench Multimodal | 59.4 | Multimodal software engineering tasks | Frontier multimodal coding | SWE-bench Multimodal |
| ProgramBench ProgramBench: Can Language Models Rebuild Programs From Scratch? | 93.0 | 200 program reconstruction tasks | Full-repository software architecture | ProgramBench: Can Language Models Rebuild Programs From Scratch? |
| FrontierSWE v2 FrontierSWE v2 | 52.0 | 34 ultra-long-horizon engineering and research tasks | Ultra-long-horizon frontier software engineering | FrontierSWE v2 |
| Bug Hunt Bench Bug Hunt Bench | 27 | 105 planted bugs across two production TypeScript repositories | Blind production-repository bug finding and repair | Bug Hunt Bench method, caveats, and definitions |
| AA Coding Index Artificial Analysis Coding Index | 78.0 | Cross-benchmark coding index | Display-only external reference | Artificial Analysis model leaderboards |
| AA-SciCode Artificial Analysis SciCode | 56.4 | Scientific coding subproblems | Scientific programming | Artificial Analysis SciCode Benchmark Leaderboard |
| LiveCodeBench (Vals) LiveCodeBench, Vals AI run | 89.0 | Competitive programming problems (easy, medium, hard) | Frontier coding | Vals AI LiveCodeBench, Vals AI run leaderboard |
| SWE-bench (Vals) SWE-bench, Vals AI run | 97.0 | Real repository issues by human time bucket | Frontier coding agents | Vals AI SWE-bench, Vals AI run leaderboard |
| DeepSWE DeepSWE | 68.8 | 113 software engineering tasks across 91 repositories and 5 languages | Long-horizon software engineering | DeepSWE benchmark blog |
Mathematics
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| IMO 2026 International Mathematical Olympiad 2026 | 42 | 6 proof-based problems | International olympiad mathematics | Claude Opus 5 System Card |
| RiemannBench (no tools) RiemannBench without tools | 60.0 | 25 private research-level mathematics problems | Research mathematics | Claude Opus 5 System Card |
| RiemannBench (tools) RiemannBench with tools | 79.0 | 25 private research-level mathematics problems | Research mathematics | Claude Opus 5 System Card |
| ArXivMath Jun. 2026 (no tools) ArXivMath June 2026 without tools | 90.8 | 49 recent research-mathematics problems | Research mathematics | Claude Opus 5 System Card |
| ArXivMath Jun. 2026 (tools) ArXivMath June 2026 with tools | 91.3 | 49 recent research-mathematics problems | Research mathematics | Claude Opus 5 System Card |
Reasoning
| 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 | 90.4 | Visual pattern completion and abstract reasoning | Expert-level — hardest public reasoning benchmark | ARC-AGI-2: A Harder General Intelligence Benchmark |
| ARC-AGI-3 Abstraction and Reasoning Corpus for AGI v3 | 30.16 | Interactive game-like tasks with hidden rules | Frontier agentic reasoning | ARC-AGI-3: A New Challenge for Frontier Agentic Intelligence |
| AA-LCR Artificial Analysis Long Context Reasoning | 79.3 | Long-context reasoning tasks | Long-context reasoning | Artificial Analysis model benchmarks |
| MLCR-AA Medical Long Context Reasoning (MLCR-AA) | 55.6 | Long, fragmented medical-record reasoning | Long-context medical reasoning | Medical Long Context Reasoning (MLCR-AA) |
| CritPt Critical Physics Tasks | 29.1 | Research-level physics questions | Research-level physics reasoning | CritPt Benchmark Leaderboard |
Multilingual
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| GMMLU Global MMLU | 92.5 | 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 | 92.1 | Knowledge tasks across 11 languages | Multilingual Indic knowledge | MILU: A Multi-task Indic language understanding benchmark |
| INCLUDE INCLUDE | 89.8 | Cross-lingual understanding | Broad multilingual capability | Qwen3.6 launch benchmarks |
Agentic
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| DRACO Data Research and Analysis with Complex Operations | 88.6 | Agentic data research and analysis tasks | Professional data analysis | Claude Opus 5 System Card |
| BrowseComp (10-agent, prerelease) Multi-Agent BrowseComp — 10-agent team prerelease configuration | 93.6 | BrowseComp web-research tasks | Long-horizon web research | Claude Opus 5 System Card |
| MCP-Atlas claim coverage MCP-Atlas mean claim coverage | 89.1 | Production-like multi-server MCP workflows | Real-world tool use | Claude Opus 5 System Card |
| LAB all-pass (Anthropic harness) Legal Agent Benchmark all-pass rate — Anthropic harness | 23.58 | 1,235 legal-agent tasks | Professional legal work | Claude Opus 5 System Card |
| LAB criterion-pass (Anthropic harness) Legal Agent Benchmark mean criterion-pass rate — Anthropic harness | 93.74 | 1,235 legal-agent tasks | Professional legal work | Claude Opus 5 System Card |
| LAB all-pass (Harvey held-out) Legal Agent Benchmark all-pass rate — Harvey held-out set | 11.7 | 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 | 94.1 | Harvey-held-out legal-agent tasks | Professional legal work | Claude Opus 5 System Card |
| Toolathlon Verified Pass@3 Toolathlon Verified Pass@3 | 87.0 | 108 verified real-world tool-use tasks | Long-horizon application tool use | Claude Opus 5 System Card |
| Toolathlon Verified Pass³ Toolathlon Verified Pass cubed | 73.1 | 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 | 23.5 | 108 verified real-world tool-use tasks | Long-horizon application tool use | Claude Opus 5 System Card |
| Terminal-Bench 3.0 Terminal-Bench 3.0 | 42.7 | 74 professional computer-work tasks across 7 domains | Frontier autonomous knowledge work | Terminal-Bench 3.0 |
| AA Briefcase Artificial Analysis Briefcase | 1720 | Professional knowledge-work tasks | Professional work | Artificial Analysis Briefcase Benchmark Leaderboard |
| AA AutomationBench Artificial Analysis AutomationBench | 56.6 | Business-process automation tasks | Agentic automation | Artificial Analysis AutomationBench Benchmark Leaderboard |
| AA EnterpriseOps-Gym Artificial Analysis EnterpriseOps-Gym | 47.5 | Enterprise operations workflows | Enterprise agent operations | Artificial Analysis EnterpriseOps-Gym Benchmark Leaderboard |
| AA Harvey LAB Artificial Analysis Harvey LAB-AA | 93.5 | Legal agent tasks | Professional legal work | Artificial Analysis Harvey LAB-AA Benchmark Leaderboard |
| AA Tau3 Banking Artificial Analysis Tau3-Banking | 42.1 | Banking tool-use workflows | Agentic banking workflows | Artificial Analysis Tau3-Banking Benchmark Leaderboard |
| BrowseComp BrowseComp | 90.8 | Research questions requiring browsing | Hard web research | BrowseComp |
| HLE w/ tools Humanity's Last Exam with tools | 64.7 | Expert questions with tool use | Frontier tool-augmented reasoning | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA | 1862 | Agentic real-world work tasks | Professional agentic workflows | DeepSeek-V4 Technical Report |
| GDPval-AA GDPval-AA normalized | 61.8 | Economically valuable tasks | Professional agentic workflows | Artificial Analysis model benchmarks |
| AA Agentic Index Artificial Analysis Agentic Index | 56.2 | Cross-benchmark agentic index | Display-only external reference | Artificial Analysis model leaderboards |
| AA Terminal-Bench 4.0 Artificial Analysis Terminal-Bench v4.0 | 49.0 | Terminal-based agent tasks | Agentic software engineering | Artificial Analysis Terminal-Bench v4.0 Benchmark Leaderboard |
| GDP.pdf Artificial Analysis GDP.pdf | 21.6 | Professional document-production tasks | Professional knowledge work | GDP.pdf Benchmark Leaderboard |
| AA-AnalystAgent Artificial Analysis AnalystAgent | 53.8 | Spreadsheet and document analysis questions | Business and data analysis | AA-AnalystAgent Benchmark Leaderboard |
| OSWorld 2.0 OSWorld 2.0 | 70.6 | 108 long-horizon computer-use workflows | Long-horizon professional workflows | OSWorld2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks |
| MCP Atlas MCP Atlas | 85.8 | Tool-integrated agent tasks | Advanced tool use | Introducing GPT-5.4 mini and nano |
| Toolathlon-Verified Toolathlon-Verified | 80.6 | Verified multi-tool workflows | Advanced tool use | Kimi K3: Open Frontier Intelligence |
| AutomationBench AutomationBench | 26.0 | 600 public automation tasks | Long-horizon automation | Kimi K3: Open Frontier Intelligence |
| DeepSearchQA DeepSearchQA | 95.0 | Agentic browsing and list-answer questions | Agentic web research | Muse Spark Eval Methodology |
| Terminal-Bench 2.1 (Vals) Terminal-Bench 2.1, Vals AI run | 84.6 | Difficult terminal tasks | Frontier agentic | Vals AI Terminal-Bench 2.1, Vals AI run leaderboard |
| ApprenticeBench ApprenticeBench: end-to-end computer use, continual learning, and long-horizon agency on a real accounts-payable job | 36 | 100 vendor bills processed in sequence inside a simulated construction company | Long-horizon computer use with offline and online continual learning | ApprenticeBench: a step change in AI's job readiness |
Multimodal & Grounded
| Benchmark | Value | Tasks | Difficulty | Provenance |
|---|---|---|---|---|
| Chartography (no tools) Chartography without tools | 29.6 | 100 specialized chart types | Professional chart reasoning | Chartography |
| Chartography (tools) Chartography with image and code tools | 83.0 | 100 specialized chart types | Professional chart reasoning | Chartography |
| BenchCAD Vision2Code (no tools) BenchCAD Vision2Code voxel IoU without tools | 0.366 | 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 | 0.821 | 1,000-file Vision2Code subset | Programmatic CAD generation | BenchCAD: A comprehensive, industry-standard benchmark for programmatic CAD |
| GDP.pdf (no tools) GDP.pdf mean criteria pass rate without tools | 83.4 | 100 professional document prompts | Professional document reasoning | GDP.pdf |
| GDP.pdf (tools) GDP.pdf mean criteria pass rate with tools | 85.5 | 100 professional document prompts | Professional document reasoning | GDP.pdf |
| OfficeQA OfficeQA | 78.1 | Historical Treasury Bulletin questions | Professional document reasoning | Claude Opus 5 System Card |
| AA-MMMU-Pro Artificial Analysis MMMU-Pro | 84.7 | Multimodal academic reasoning | Frontier multimodal | Artificial Analysis MMMU-Pro Benchmark Leaderboard |
| Design Arena Website Design Arena Website Elo | 1319 | Website generation comparisons | Design and website generation | OpenRouter Grok 4.3 benchmarks |
| OfficeQA Pro OfficeQA Pro | 66.9 | Document and spreadsheet tasks | Enterprise grounded reasoning | OfficeQA Pro: An Enterprise Benchmark for End-to-End Grounded Reasoning |
Lifecycle and limitations log
Lifecycle events the source associates with this model, plus what this profile does not claim.
What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-09-17 17:17 UTC.