Benchmarks
Choose an evaluation to inspect its task, method and published model scores.
| Benchmark | Capability | Source | Leading configuration | Score | Coverage |
|---|---|---|---|---|---|
| SWE-Bench Pro (version unspecified)Reported by Anthropic | Repository coding | Vendor reports | No independent field | — | 2 reported values |
| SWE-bench MultimodalReported by Anthropic | Repository coding | Vendor reports | No independent field | — | 3 reported values |
| FrontierCode v1.1 (Extended)Reported by Anthropic | Agentic coding | Vendor reports | No independent field | — | 3 reported values |
| ProgramBench (hidden test pass rate)Reported by Anthropic | Long-context coding | Vendor reports | No independent field | — | 3 reported values |
| DRACO (Anthropic harness)Reported by Anthropic | Deep research | Vendor reports | No independent field | — | 4 reported values |
| WANDR (frozen index)Reported by Anthropic | Wide research | Vendor reports | No independent field | — | 4 reported values |
| BenchCAD Vision2Code (no tools)Reported by Anthropic | CAD reasoning | Vendor reports | No independent field | — | 5 reported values |
| BenchCAD Vision2Code (with tools)Reported by Anthropic | CAD reasoning | Vendor reports | No independent field | — | 5 reported values |
| OSWorld 2.1 (offline strict pass)Reported by Anthropic | Computer use | Vendor reports | No independent field | — | 6 reported values |
| OfficeQAReported by Anthropic | Document reasoning | Vendor reports | No independent field | — | 3 reported values |
| OfficeQA ProReported by Anthropic | Document reasoning | Vendor reports | No independent field | — | 3 reported values |
| HealthBench (length-adjusted)Reported by Anthropic | Healthcare | Vendor reports | No independent field | — | 2 reported values |
| HealthBench (raw)Reported by Anthropic | Healthcare | Vendor reports | No independent field | — | 1 reported values |
| HealthBench Professional (length-adjusted)Reported by Anthropic | Healthcare | Vendor reports | No independent field | — | 4 reported values |
| HealthBench Professional (raw)Reported by Anthropic | Healthcare | Vendor reports | No independent field | — | 1 reported values |
| PhysicianBenchReported by Anthropic | Healthcare | Vendor reports | No independent field | — | 6 reported values |
| Global MMLUReported by Anthropic | Multilingual knowledge | Vendor reports | No independent field | — | 4 reported values |
| MILUReported by Anthropic | Multilingual knowledge | Vendor reports | No independent field | — | 4 reported values |
| SpatialBench VerifiedReported by Anthropic | Life sciences | Vendor reports | No independent field | — | 2 reported values |
| SingleCellBenchReported by Anthropic | Life sciences | Vendor reports | No independent field | — | 2 reported values |
| Morphology-to-molecule matchingReported by Anthropic | Life sciences | Vendor reports | No independent field | — | 2 reported values |
| Medicinal chemistry (ADME)Reported by Anthropic | Life sciences | Vendor reports | No independent field | — | 4 reported values |
| Protein design (sequence generation)Reported by Anthropic | Life sciences | Vendor reports | No independent field | — | 3 reported values |
| Protein design (library ranking)Reported by Anthropic | Life sciences | Vendor reports | No independent field | — | 3 reported values |
| Biomedical image analysisReported by Anthropic | Life sciences | Vendor reports | No independent field | — | 2 reported values |
| Protocols (troubleshooting)Reported by Anthropic | Life sciences | Vendor reports | No independent field | — | 3 reported values |
| Protocols (understanding V2)Reported by Anthropic | Life sciences | Vendor reports | No independent field | — | 3 reported values |
| APEX-Agents-AAMercor / Artificial Analysis | Knowledge work | Artificial Analysis | Gemini 3.5 Flash | 47.05% | 32 models |
| τ³-BankingSierra Research | Tool use | Artificial Analysis | Qwen3.8 Max | 51.34% | 154 models |
| ITBench-AAIBM / Artificial Analysis | IT operations | Artificial Analysis | GPT-5.6 Sol | 56.21% | 42 models |
| IFBenchAllen Institute for AI | Instruction following | Artificial Analysis | Grok 4.20 0309 | 82.93% | 331 models |
| AIME 2025Mathematical Association of America | Mathematics | Artificial Analysis | GPT-5.2 | 99.00% | 208 models |
| AA-AnalystAgentArtificial Analysis | Data analysis | Artificial Analysis | Gemini 3.7 Flash | 60.00% | 33 models |
| MLCR-AAWisedocs / Artificial Analysis | Medical reasoning | Artificial Analysis | Claude Sonnet 5.5 | 75.00% | 70 models |
| ARC-AGI-3ARC Prize | Interactive reasoning | ARC Prize · Standard | GPT-6 Astra (Max) | 62.71% | 17 models |
| SWE-Bench Pro V2 FullScale AI / SEAL | Repository coding | Scale AI / SEAL | Opus 5 (Claude Code) xhigh | 99.40% | 10 models |
| SWE-Bench Pro V2 HARDScale AI / SEAL | Repository coding | Scale AI / SEAL | Opus 5 (Claude Code) xhigh | 98.00% | 11 models |
| Vals RSI IndexVals AI | Autonomous research | Vals AI | Claude Opus 5.5 | 37.31% | 23 models |
| Vibe Code Bench 1–100Vals AI | Application development | Vals AI | Claude Opus 5.5 | 30.36% | 20 models |
| CUA-benchVals AI | Computer use | Vals AI | GPT-6 Astra | 19.17% | 8 models |
| τ²-Bench TelecomArtificial Analysis | Tool use | Artificial Analysis | JT-35B-Flash | 99.12% | 323 models |
| Harvey LAB-AAArtificial Analysis | Legal reasoning | Artificial Analysis | Muse Spark 1.3 | 95.48% | 42 models |
| EnterpriseOps-Gym-AAArtificial Analysis | Enterprise workflows | Artificial Analysis | Claude Fable 5 | 51.12% | 47 models |
| Humanity's Last Exam (text-only, without tools)Center for AI Safety and Scale AI; subset reported by DeepSeek | Multidisciplinary reasoning | Vendor reports | No independent field | — | 3 reported values |
| Apex Bench v1.1Reported by DeepSeek | Reasoning | Vendor reports | No independent field | — | 6 reported values |
| PLawBenchPLawBench authors | Professional knowledge | Vendor reports | No independent field | — | 5 reported values |
| SWE-Bench Pro v1Scale AI / SEAL, reported by Reflection AI | Repository coding | Vendor reports | No independent field | — | 5 reported values |
| SWE Atlas Codebase QnAScale AI / SEAL, reported by Reflection AI | Codebase understanding | Vendor reports | No independent field | — | 3 reported values |
| SWE-bench MultilingualSWE-bench, reported by Reflection AI | Repository coding | Vendor reports | No independent field | — | 5 reported values |
| AIME 2026Mathematical Association of America, reported by Reflection AI | Mathematics | Vendor reports | No independent field | — | 3 reported values |
| AutomationBench (public split)Zapier, reported by Reflection AI | Business workflows | Vendor reports | No independent field | — | 6 reported values |
| MCP AtlasScale AI / SEAL, reported by Reflection AI | Agentic tooling | Vendor reports | No independent field | — | 7 reported values |
| BrowseComp (context management)OpenAI, reported by Reflection AI | Web research | Vendor reports | No independent field | — | 4 reported values |
| DeepSearchQA (context management)Google DeepMind, reported by Reflection AI | Web research | Vendor reports | No independent field | — | 2 reported values |
| AA-LCR (version not specified)Artificial Analysis, reported by Reflection AI | Long-context reasoning | Vendor reports | No independent field | — | 8 reported values |
| LongBench v2LongBench, reported by Reflection AI | Long-context reasoning | Vendor reports | No independent field | — | 4 reported values |
| AA-Omniscience (public split)Artificial Analysis, evaluated and reported by Reflection AI | Factual knowledge | Vendor reports | No independent field | — | 5 reported values |
| LABBench 2Reported by Google DeepMind | Scientific reasoning | Vendor reports | No independent field | — | 4 reported values |
| RiemannBenchSurge AI, quoted by Google DeepMind | Mathematics | Vendor reports | No independent field | — | 4 reported values |
| GraphWalks (up to 128k)Reported by Google DeepMind | Long context | Vendor reports | No independent field | — | 4 reported values |
| GraphWalks (256k to 1M)Reported by Google DeepMind | Long context | Vendor reports | No independent field | — | 4 reported values |
| LVBenchReported by Google DeepMind | Video understanding | Vendor reports | No independent field | — | 4 reported values |
| CWE-bench v1CWE-bench authors, quoted by Google DeepMind | Security | Vendor reports | No independent field | — | 4 reported values |
| AutomationBench-AAReported independently by Artificial Analysis | Workflow automation | Artificial Analysis | Gemini 4 Argon | 77.51% | 140 models |
| SciCodeReported independently by Artificial Analysis | Scientific coding | Artificial Analysis | Claude Opus 5.5 | 66.90% | 144 models |
| GDP.pdfReported independently by Artificial Analysis | Document reasoning | Artificial Analysis | GPT-6.1 Sol | 31.00% | 130 models |
| CritPtReported independently by Artificial Analysis | Scientific reasoning | Artificial Analysis | GPT-5.6 Sol | 32.29% | 386 models |
| AA-OmniscienceReported independently by Artificial Analysis | Factual knowledge | Artificial Analysis | Claude Opus 5.5 | 46.42 | 383 models |
| AA-LCR v1.1Reported independently by Artificial Analysis | Long-context reasoning | Artificial Analysis | Kimi K3 | 88.67% | 386 models |
| Terminal-Bench 4.0Terminal-Bench community and Harbor (open source) | Agentic coding | Artificial Analysis | Claude Sonnet 5.5 | 63.64% | 137 models |
| Terminal-Bench 2.1Terminal-Bench community and Harbor (open source) | Agentic coding | Vals AI | Claude Opus 5.5 | 87.64% | 75 models |
| SWE-bench (Verified)Princeton and Stanford researchers | Software engineering | Vals AI | Claude Opus 5 | 97.00% | 88 models |
| LiveCodeBenchLiveCodeBench maintainers | Code generation | Vals AI | Claude Fable 5.1 | 90.52% | 143 models |
| GPQA DiamondRein, Hou, et al. | Science reasoning | Vals AI | Gemini 3.1 Pro | 95.45% | 138 models |
| MMLU ProTIGER-Lab | Knowledge | Vals AI | Claude Fable 5.1 | 92.38% | 138 models |
| MMMU ProMMMU team | Multimodal reasoning | Vals AI | Claude Fable 5.1 | 90.64% | 93 models |
| Vibe Code Bench v1.1Vals AI | Product coding | Vals AI | Claude Sonnet 5.5 | 92.39% | 106 models |
| Terminal-Bench Science 0.1Terminal-Bench community and Harbor | Agentic science | Artificial Analysis | GPT-6 Astra | 63.33% | 27 models |
| ProgramBenchVals AI | Agentic coding | Vals AI | Claude Opus 5.5 | 18.50% | 54 models |
| ProofBench v1.1Vals AI | Mathematics | Vals AI | Claude Sonnet 5.5 | 100.00% | 46 models |
| LegalBenchStanford Hazy Research | Professional knowledge | Vals AI | Claude Fable 5 | 88.56% | 149 models |
| Harvey's Legal Agent BenchmarkHarvey and Vals AI | Professional knowledge | Vals AI | Muse Spark 1.2 | 25.42% | 73 models |
| SkillsBenchVals AI | Agentic tooling | Vals AI | DeepSeek V4.1 Flash | 69.80% | 35 models |
| MysteryMechanismVals AI | Scientific reasoning | Vals AI | GPT-6 Astra | 53.15% | 21 models |
| Vals Multimodal IndexVals AI | Composite | Vals AI | Claude Fable 5 | 74.15% | 33 models |
| Vals IndexVals AI | Composite | Vals AI | Gemini 4 Argon | 68.90% | 41 models |
| BioMysteryBenchAnthropic, run by Vals AI | Agentic science | Vals AI | Claude Sonnet 5.5 | 81.11% | 21 models |
| Code MigrationVals AI | Agentic coding | Vals AI | Claude Sonnet 5.5 | 69.83% | 71 models |
| CyberBench v1.1Vals AI, building on CyberGym and ARVO | Security | Vals AI | GPT-6 Sol | 77.98% | 43 models |
| EMBVals AI | Financial modelling | Vals AI | Claude Fable 5.1 | 76.67% | 69 models |
| Finance Agent (v2)Vals AI | Financial analysis | Vals AI | Gemini 4 Argon | 65.40% | 73 models |
| IOIVals AI, on International Olympiad in Informatics problems | Competitive programming | Vals AI | Gemini 4 Argon | 100.00% | 38 models |
| Legal Research BenchVals AI with practising lawyers | Professional knowledge | Vals AI | Muse Spark 1.3 Max | 55.29% | 72 models |
| MedCodeVals AI with Protege | Healthcare administration | Vals AI | Claude Opus 5 | 63.57% | 104 models |
| MedScribeVals AI with Protege | Healthcare administration | Vals AI | Claude Opus 5.5 | 91.43% | 106 models |
| Public Benefits Bench v1.1Center for Civic Futures, run by Vals AI | Public services | Vals AI | Claude Opus 5 | 76.93% | 45 models |
| SAGEVals AI | Education | Vals AI | Claude Opus 4.7 | 56.10% | 90 models |
| SRE BenchVals AI | Security | Vals AI | GPT-6 Astra | 56.87% | 16 models |
| Tax Agent BenchVals AI | Professional knowledge | Vals AI | Claude Fable 5.1 | 77.64% | 64 models |
| OSWorld 2.0XLANG Lab and contributors (open source) | Computer use | Vendor reports | No independent field | — | 11 reported values |
| OSWorld 2.1XLANG Lab and contributors (open source) | Computer use | Vendor reports | No independent field | — | 13 reported values |
| AutomationBenchZapier | Business workflows | Vendor reports | No independent field | — | 40 reported values |
| CursorBench 4.0Cursor | Agentic coding | Vendor reports | No independent field | — | 7 reported values |
| DeepSWE v1.1Datacurve | Software engineering | Datacurve | GPT-6 Astra | 74.12% | 28 models |
| FrontierCode v1.1Reported by OpenAI and Anthropic | Agentic coding | Vendor reports | No independent field | — | 23 reported values |
| GDPval-AA v2.1Artificial Analysis | Knowledge work | Artificial Analysis | Claude Opus 5.5 | 1,846.17 | 188 models |
| AA-Briefcase v1.1Artificial Analysis | Knowledge work | Artificial Analysis | Claude Opus 5.5 | 1,821.85 | 142 models |
| ChartographyReported by Anthropic and Google DeepMind | Visual chart recognition | Vendor reports | No independent field | — | 39 reported values |
| Humanity's Last ExamCenter for AI Safety and Scale AI | Multidisciplinary reasoning | Artificial Analysis | Claude Opus 5.5 | 61.35% | 466 models |
| ARC-AGI-2ARC Prize Foundation | Abstract reasoning | Vendor reports | No independent field | — | 5 reported values |
| FrontierMath Tier 4 (v2)Epoch AI | Mathematics | Vendor reports | No independent field | — | 5 reported values |
| Agents' Last ExamReported by OpenAI and Google DeepMind | Computer use | Vendor reports | No independent field | — | 28 reported values |
| Artificial Analysis Intelligence IndexArtificial Analysis | Composite | Artificial Analysis | Claude Opus 5.5 | 58 | 492 models |
| Terminal-Bench 3.0Terminal-Bench community and Harbor (open source) | Agentic coding | Vendor reports | No independent field | — | 13 reported values |
| NL2Repo-BenchDing et al. (2025) | Agentic coding | Vendor reports | No independent field | — | 19 reported values |
| CyberGymSunblaze group, UC Berkeley (open source) | Security | Vendor reports | No independent field | — | 14 reported values |
| SEC-bench ProSEC-bench team (open source) | Security | Vendor reports | No independent field | — | 4 reported values |
| ExploitGymWang et al. (2026) | Security | Vendor reports | No independent field | — | 20 reported values |
| MathArena ApexSRI Lab, ETH Zurich and INSAIT | Mathematics | Vendor reports | No independent field | — | 4 reported values |
| Codeforces (rating)Codeforces (platform); internal harness reported by DeepSeek | Competitive programming | Vendor reports | No independent field | — | 3 reported values |
| BabyVisionChen et al. (2026) | Multimodal | Vendor reports | No independent field | — | 9 reported values |
| ZeroBench (main set)Roberts et al. | Multimodal | Vendor reports | No independent field | — | 9 reported values |
| FrontierSWEFrontierSWE community (open methodology) | Agentic research | Vendor reports | No independent field | — | 11 reported values |
| SWE-MarathonSWE-Marathon project | Agentic coding | Vendor reports | No independent field | — | 6 reported values |
| PostTrainBenchPostTrainBench authors (aisa-group), verification by Epoch AI | AI research | Vendor reports | No independent field | — | 10 reported values |
| ExploitBenchExploitBench (exploitbench.ai) | Security | Vendor reports | No independent field | — | 7 reported values |
| Toolathlon VerifiedHKUST NLP (Toolathlon), ICLR 2026 | Agentic tooling | Vendor reports | No independent field | — | 8 reported values |
| GDPval-AA v2Reported by Z.ai | Knowledge work | Vendor reports | No independent field | — | 8 reported values |