- Agentic coding SWE-bench Verified (with parallel test-time compute) 82
- Agentic terminal coding Terminal-Bench (Terminus 2) 50
- Mean of Agentic tool use τ2-bench Retail / Agentic tool use τ2-bench Airline / Agentic tool use τ2-bench Telecom 84.7
- Computer use OSWorld (official OSWorld-Verified framework, 100 max steps) 61.4
- High school math competition AIME 2025 (python) 100
- Graduate-level reasoning GPQA Diamond 83.4
- Multilingual Q&A MMMLU 89.1
- Visual reasoning MMMU (validation) 77.8
- Financial analysis Finance Agent 55.3
Claude Sonnet 4.5
Claude Sonnet 4.5 ranks first on 5 of the 270 benchmarks with five or more models scored.
Claude Sonnet 4.5
Closed weights Mid-size
- Humanity's Last Exam 13.7% #25 /47
- SWE-bench Verified 71.3% #23 /32
- SWE-Bench Pro 43.6% #7 /24
Where it ranks
Its best score on each benchmark, and where that ranks among every model with a score there. We rank each model once, at its best setting.
Knowledge and language
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMLU-Pro | 87.4% | #10 of 212 | Official leaderboard | |
| Phare | 77.6% | #4 of 62 | Official leaderboard | |
| WritingBench | 80.7 | #4 of 45 | Official leaderboard | |
| BullshitBench V2 | 79% | #12 of 129 | Official leaderboard | |
| BullshitBench | 65.5% | #11 of 107 | Official leaderboard | |
| Slop Score | 19.5 | #2 of 17 | Official leaderboard | |
| AraGen | 78.2% | #6 of 42 | Official leaderboard | |
| ConStory-Bench | 0.52 | #2 of 14 | Official leaderboard | |
| IndicGenBench | 60.6 | #2 of 13 | Official leaderboard | |
| LMArena (Elo) | 1,456 | #55 of 335 | Official leaderboard | |
| MMMLU | 89.1% | #13 of 71 | Lab model card | |
| Judgemark v2.1 | 84.6 | #8 of 42 | Official leaderboard | |
| EQ-Bench 3 | 1,535 | #15 of 78 | Official leaderboard | |
| Longform Creative Writing (EQ-Bench) | 71.4 | #38 of 119 | Official leaderboard | |
| IFEval | 85% | #20 of 60 | Official leaderboard | |
| False-premise questions (Anthropic) | 6.90% | #2 of 6 | Lab model card | |
| Creative Writing v3 | 72.2 | #43 of 120 | Official leaderboard | |
| DesignArena ASCII Art | 1,200 | #29 of 77 | Official leaderboard | |
| MultiNRC | 35.8% | #17 of 38 | Official leaderboard | |
| FACTS Search | 69.8% | #14 of 31 | Official leaderboard | |
| Humanity's Last Exam | 13.7% | #25 of 47 | Official leaderboard | |
| SimpleQA | 24.6% | #32 of 60 | Lab model card | |
| AMemGym | 41.6% | #6 of 11 | Official leaderboard | |
| HUMAINE | 27 | #28 of 50 | Official leaderboard | |
| SimpleQA Verified | 29.2% | #32 of 56 | Official leaderboard | |
| 100Q-Hard (Anthropic) | 38.3% | #4 of 7 | Lab model card | |
| MultiChallenge | 55.3% | #26 of 42 | Official leaderboard | |
| Role-play Benchmark (MiniMax) | 69.3 | #5 of 8 | Official leaderboard | |
| Last Translation Benchmark | 4.50 | #23 of 36 | Official leaderboard | |
| FACTS Parametric | 29% | #29 of 45 | Official leaderboard | |
| Honesty human feedback win rate (Anthropic) | 57% | #4 of 6 | Lab model card | |
| Vectara Hallucination Leaderboard (HHEM) | 5.50% | #103 of 148 | Official leaderboard | |
| Extended NYT Connections | 37.3% | #78 of 103 | Official leaderboard | |
| Vectara Hallucination Leaderboard (2025 dataset) | 12% | #79 of 104 | Official leaderboard | |
| Document Arena | 1,448 | #30 of 39 | Official leaderboard | |
| Visual Aesthetic Benchmark | 24.3% | #14 of 18 | Official leaderboard |
Math and science
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| AIME 2025 | 100% | #4 of 143 | Lab model card | |
| MATH Level 5 | 97.7% | #5 of 94 | Epoch AI run | |
| CORE-Bench | 62.2% | #2 of 17 | Official leaderboard | |
| SGI-Bench | 32.2% | #2 of 15 | Official leaderboard | |
| GPQA Main | 68.6% | #11 of 60 | Official leaderboard | |
| SciPredict | 22.6% | #3 of 12 | Official leaderboard | |
| GPQA Diamond | 82.3% | #91 of 229 | Epoch AI run | |
| ForecastBench | 0.13 | #33 of 82 | Official leaderboard | |
| DTBench | 83.2% | #76 of 180 | Official leaderboard | |
| OTIS Mock AIME 2024-2025 | 77.8% | #100 of 212 | Epoch AI run | |
| SimpleBench | 54.3% | #53 of 106 | Official leaderboard | |
| BRUMO 2025 | 90.8% | #21 of 42 | Official leaderboard | |
| FrontierMath | 15.2% | #28 of 55 | Official leaderboard | |
| ProofBench | 19% | #31 of 59 | Official leaderboard | |
| ARC-AGI-2 | 13.6% | #57 of 98 | Official leaderboard | |
| FrontierMath Tier 4 | 4.17% | #32 of 55 | Epoch AI run | |
| ARC-AGI | 63.7% | #58 of 95 | Official leaderboard | |
| HMMT 2025 | 67.5% | #33 of 53 | Official leaderboard | |
| SMT 2025 | 84% | #25 of 40 | Official leaderboard | |
| AMO-Bench | 17.6% | #14 of 21 | Official leaderboard | |
| MathArena (Apex, IMO, USAMO) | 1.56% | #34 of 47 | Official leaderboard | |
| General365 | 48.6% | #18 of 23 | Official leaderboard | |
| SpatialBench (LatchBio) | 41.5% | #11 of 14 | Official leaderboard | |
| FrontierMath Tiers 1-3 v2 | 23.9% | #72 of 86 | Official leaderboard | |
| CMIMC 2025 | 66.3% | #30 of 33 | Official leaderboard | |
| FrontierMath Tier 4 v2 | 2.44% | #63 of 68 | Official leaderboard |
Coding
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Spider 2.0 | 90.5% | #2 of 23 | Official leaderboard | |
| LiveSQLBench | 35.2% | #4 of 36 | Official leaderboard | |
| CodeClash | 1,385 | #1 of 8 | Official leaderboard | |
| METR Time Horizon | 117 min | #4 of 31 | Official leaderboard | |
| ABC-Bench | 63.2% | #1 of 7 | Official leaderboard | |
| OTelBench | 21.7% | #3 of 14 | Official leaderboard | |
| ContextBench | 58.8% | #2 of 9 | Official leaderboard | |
| Snorkel Agentic Coding | 57.6% | #3 of 11 | Official leaderboard | |
| SWE-Bench Pro | 43.6% | #7 of 24 | Official leaderboard | |
| SWE-fficiency | 11.6% | #5 of 17 | Official leaderboard | |
| Vibe Code Bench v1 | 22.6% | #5 of 17 | Official leaderboard | |
| Bird-SQL | 66.8% | #4 of 13 | Official leaderboard | |
| Time series forecasting task (Anthropic) | 5.30 | #3 of 9 | Lab model card | |
| SWE-Review | 10.5% | #2 of 5 | Official leaderboard | |
| SWE-bench-Live | 36% | #5 of 12 | Official leaderboard | |
| IOI (Vals) | 18.3% | #24 of 55 | Official leaderboard | |
| SWE-bench Verified (hard subset) | 45.3% | #4 of 9 | Lab model card | |
| OpenHands Index | 53% | #15 of 33 | Official leaderboard | |
| WeirdML | 47.7% | #52 of 112 | Official leaderboard | |
| GSO-Bench | 14.7% | #15 of 30 | Official leaderboard | |
| CooperBench | 25.9% | #3 of 6 | Official leaderboard | |
| SWE-bench-Live Verified | 40% | #1 of 2 | Official leaderboard | |
| AlgoTune | 1.52× | #10 of 18 | Official leaderboard | |
| DesignArena Code | 1,173 | #80 of 143 | Official leaderboard | |
| DesignArena Website | 1,183 | #85 of 151 | Official leaderboard | |
| Text-based reinforcement learning task (Anthropic) | 0.85 | #4 of 7 | Lab model card | |
| DesignArena 3D Design | 1,140 | #78 of 136 | Official leaderboard | |
| DesignArena Game Dev | 1,156 | #83 of 143 | Official leaderboard | |
| DesignArena UI Component | 1,163 | #83 of 139 | Official leaderboard | |
| VIBE (MiniMax) | 85.2% | #3 of 5 | Official leaderboard | |
| Vision2Web S1-2026 | 37.5% | #3 of 5 | Official leaderboard | |
| SWE-bench Multilingual | 67% | #8 of 13 | Official leaderboard | |
| Quadruped reinforcement learning task (Anthropic) | 1.30 | #5 of 8 | Lab model card | |
| WebDev Arena | 1,391 | #70 of 105 | WebDev Arena Leaderboard, via Epoch AI | |
| Internal AI research evaluation suite 2 | 0.51 | #4 of 6 | Lab model card | |
| ALE-Bench | 1,192 | #85 of 126 | Official leaderboard | |
| DesignArena Data Visualization | 1,165 | #82 of 118 | Official leaderboard | |
| DesignArena SVG | 1,105 | #72 of 103 | Official leaderboard | |
| Vibe Code Bench | 22.6% | #84 of 120 | Official leaderboard | |
| Code Arena | 1,393 | #90 of 128 | Official leaderboard | |
| DesignArena React Native | 1,132 | #40 of 56 | Official leaderboard | |
| SWE-bench Verified | 71.3% | #23 of 32 | Epoch AI run | |
| PostTrainBench | 9.94% | #18 of 23 | Official leaderboard | |
| DesignArena Agentic Overall | 1,059 | #58 of 74 | Official leaderboard | |
| Internal model use survey (Anthropic) | 0% | #4 of 5 | Lab model card | |
| APEX-SWE | 31% | #53 of 65 | Official leaderboard | |
| OctoCodingbench | 22.8% | #5 of 6 | Official leaderboard | |
| DesignArena Full Stack | 1,029 | #41 of 49 | Official leaderboard | |
| GameDevBench | 34.8% | #15 of 17 | Official leaderboard | |
| DesignArena Frontend Web App | 1,041 | #49 of 53 | Official leaderboard |
Agents and tools
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BFCL V4 | 73.2% | #2 of 65 | Official leaderboard | |
| AgentBench FC | 58.9% | #1 of 12 | Official leaderboard | |
| SnakeBench | 33 | #19 of 188 | Official leaderboard | |
| Terminal-Bench | 46.5% | #2 of 18 | tbench.ai, via Epoch AI | |
| MCP-Universe | 35.1% | #4 of 30 | Official leaderboard | |
| Elimination Game | 5 | #11 of 56 | Official leaderboard | |
| MCPMark | 32.1% | #6 of 28 | Official leaderboard | |
| MobileWorld | 46% | #4 of 18 | Official leaderboard | |
| OSWorld-MCP | 49.5% | #2 of 9 | Official leaderboard | |
| Step Race | 3 | #14 of 59 | Official leaderboard | |
| LLM-WikiRace | 10.1% | #5 of 21 | Official leaderboard | |
| GAIA | 73.4% | #16 of 64 | Official leaderboard | |
| LisanBench | 2665.3 | #38 of 133 | Official leaderboard | |
| CompileBench | 86.7% | #6 of 20 | Official leaderboard | |
| BalatroBench | 11.9 | #5 of 16 | Official leaderboard | |
| tau2-bench | 84.7% | #27 of 79 | Lab model card | |
| VitaBench 2.0 | 41.7% | #6 of 17 | Official leaderboard | |
| OSWorld | 62.9% | #3 of 8 | OS World Website, via Epoch AI | |
| PinchBench | 71.3% | #19 of 48 | Official leaderboard | |
| EnterpriseOps-Gym | 34.1% | #5 of 12 | Official leaderboard | |
| Toolathlon | 38.9% | #21 of 50 | Official leaderboard | |
| OSWorld-Verified | 62.9% | #14 of 33 | Official leaderboard | |
| Terminal-Bench 2.0 | 46.5% | #19 of 43 | Official leaderboard | |
| VITA-Bench | 23.5% | #8 of 18 | Official leaderboard | |
| AgencyBench | 46.4% | #4 of 9 | Official leaderboard | |
| DeepResearch Bench | 47.5% | #10 of 22 | evals.futuresearch.ai, via Epoch AI | |
| Agent Poker Bench | 1,056 | #8 of 17 | Official leaderboard | |
| Pencil Puzzle Bench | 3.30% | #25 of 53 | Official leaderboard | |
| Deep Research Bench (FutureSearch) | 0.47 | #10 of 21 | Official leaderboard | |
| LLM Chess | 113 | #61 of 123 | Official leaderboard | |
| Game Arena Coin Game | 358 | #20 of 39 | Official leaderboard | |
| Game Arena Poker | -0.72 | #17 of 31 | Official leaderboard | |
| Game Arena Clobber | 226 | #24 of 39 | Official leaderboard | |
| ITBench | 45.8% | #8 of 13 | Official leaderboard | |
| DeepPlanning | 26.8% | #10 of 15 | Official leaderboard | |
| τ³-bench Banking | 25.3% | #17 of 25 | Official leaderboard | |
| Mystery Game Puzzles | 17% | #58 of 84 | Epoch AI run | |
| Game Arena Word Association | 127 | #28 of 40 | Official leaderboard | |
| Game Arena Bargaining | 161 | #28 of 39 | Official leaderboard | |
| tau2-bench Verified | 73.3% | #8 of 11 | Official leaderboard | |
| Game Arena Ultimate Tic-Tac-Toe | 176 | #29 of 39 | Official leaderboard | |
| VAKRA | 32.8% | #3 of 4 | Official leaderboard | |
| LMArena Search Arena | 1,175 | #29 of 37 | Official leaderboard | |
| Game Arena Lines of Action | 226 | #31 of 39 | Official leaderboard | |
| Game Arena Checkers | 566 | #33 of 41 | Official leaderboard | |
| Game Arena Chess Openings | 228 | #9 of 11 | Official leaderboard | |
| Game Arena Word Art | 217 | #32 of 39 | Official leaderboard | |
| Kaggle Game Arena | 177 | #35 of 42 | Official leaderboard | |
| MCP Atlas | 59.5% | #31 of 37 | Official leaderboard | |
| Game Arena Nine Men's Morris | 359 | #33 of 39 | Official leaderboard | |
| Game Arena Reversi | 150 | #33 of 39 | Official leaderboard | |
| RuneBench | 3.20 | #65 of 76 | Official leaderboard | |
| WorldTravel | 10% | #6 of 7 | Official leaderboard | |
| SkillsBench | 36.2% | #19 of 22 | Official leaderboard | |
| Game Arena Four in a Row | 157 | #38 of 43 | Official leaderboard | |
| Game Arena Go | 325 | #35 of 39 | Official leaderboard | |
| DeepSearchQA | 16% | #9 of 10 | Official leaderboard | |
| Chess Puzzles | 10% | #85 of 93 | Epoch AI run | |
| Game Arena Dots and Boxes | 544 | #37 of 40 | Official leaderboard | |
| EBR-bench | 2.38% | #30 of 31 | Epoch AI run | |
| Game Arena Dark Hex | 40 | #40 of 41 | Official leaderboard | |
| Game Arena Chess | 0 | #42 of 42 | Official leaderboard | |
| Game Arena Five in a Row | 0 | #20 of 20 | Official leaderboard | |
| tau3-bench | 76.4% | #7 of 7 | Official leaderboard | |
| X Browse (xAI) | 14.6% | #4 of 4 | Official leaderboard |
Professional work
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| Vals Finance Agent v1 | 55.3% | #3 of 47 | Official leaderboard | |
| LEXam | 62.8% | #3 of 30 | Official leaderboard | |
| PLawBench | 65.9% | #3 of 11 | Official leaderboard | |
| LegalBench | 84.1% | #39 of 138 | Official leaderboard | |
| Vals Finance Agent | 54.5% | #16 of 49 | Official leaderboard | |
| MedScribe | 84.5% | #33 of 97 | Official leaderboard | |
| CaseLaw v2 | 62.2% | #19 of 53 | Official leaderboard | |
| TaxEval v2 | 73.3% | #49 of 129 | Official leaderboard | |
| MedCode | 44.1% | #40 of 96 | Official leaderboard | |
| CorpFin v2 | 62% | #50 of 119 | Official leaderboard | |
| Vending-Bench | $2,465 | #4 of 9 | Official leaderboard | |
| ProfBench | 48.1% | #36 of 72 | Official leaderboard | |
| Vals Index v1 | 53.2% | #17 of 34 | Official leaderboard | |
| OccuBench | 64.9% | #7 of 14 | Official leaderboard | |
| Finch (FinWorkBench) | 29.1% | #3 of 6 | Official leaderboard | |
| MortgageTax | 64% | #46 of 87 | Official leaderboard | |
| FailureSensorIQ | 64.2% | #13 of 24 | Official leaderboard | |
| Vending-Bench 2 | $3,839 | #43 of 67 | Official leaderboard | |
| TaxCalcBench | 31.4% | #12 of 17 | Official leaderboard | |
| Vending-Bench Arena | $2,602 | #23 of 32 | Official leaderboard | |
| PRBench | 40.8% | #35 of 48 | Official leaderboard | |
| FoodTruck Bench | $1,388 | #45 of 59 | Official leaderboard | |
| Remote Labor Index | 2.08% | #15 of 19 | Official leaderboard | |
| prinzbench | 20.0 | #23 of 26 | Official leaderboard | |
| QF-Bench | 46.2% | #8 of 9 | Official leaderboard | |
| JobBench | 20.7% | #15 of 16 | Official leaderboard |
Vision, audio and robotics
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| MMMU | 77.8% | #14 of 136 | Official leaderboard | |
| MADQA | 80.6% | #2 of 18 | Official leaderboard | |
| MicroVQA | 54.4% | #4 of 19 | Official leaderboard | |
| MATH-Vision (MathVision) | 71.1% | #25 of 105 | Official leaderboard | |
| VISTA | 48.8% | #14 of 54 | Official leaderboard | |
| MMMU-Pro | 68.9% | #15 of 57 | Official leaderboard | |
| DISBench | 22.1% | #3 of 9 | Official leaderboard | |
| WorldVQA | 20% | #9 of 22 | Official leaderboard | |
| MotionBench | 61.1% | #5 of 12 | Official leaderboard | |
| vCX Benchmark | 87% | #19 of 42 | Official leaderboard | |
| OCR Arena | 1,631 | #6 of 11 | Official leaderboard | |
| VPCT | 39.8% | #16 of 27 | VPCT leaderboard, via Epoch AI | |
| VisFactor | 21.5% | #18 of 26 | Official leaderboard | |
| ZeroBench | 5.00% | #53 of 76 | Official leaderboard | |
| Math Kangaroo 2025 (MathArena) | 75.8% | #16 of 22 | Official leaderboard | |
| GeoBench | 60% | #36 of 48 | Official leaderboard | |
| MineBench | 1,140 | #60 of 75 | Official leaderboard | |
| ClockBench | 7.80% | #33 of 37 | Official leaderboard | |
| VoxelBench | 1,247 | #55 of 56 | Official leaderboard |
Safety and security
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| BioTIER Refuse | 98.2% | #2 of 69 | Official leaderboard | |
| AIR-Bench 2024 | 89.8% | #3 of 82 | Official leaderboard | |
| Spiral-Bench v1.2 | 70.3 | #2 of 21 | Official leaderboard | |
| FORTRESS | 12.8% | #9 of 73 | Official leaderboard | |
| Agentic misalignment suite (Anthropic) | 0% | #1 of 7 | Lab model card | |
| HELM Safety | 97.1 | #11 of 75 | Official leaderboard | |
| nocot-bench (NCRI) | 94.0 | #34 of 185 | Official leaderboard | |
| KORA | 63.6% | #8 of 42 | Official leaderboard | |
| Computer use prompt injection evaluation (Anthropic) | 78% | #1 of 5 | Lab model card | |
| Single-turn benign request evaluations (Anthropic) | 0.02% | #4 of 19 | Lab model card | |
| DTap Direct Misuse | 26.6% | #2 of 8 | Official leaderboard | |
| BrowseSafe-Bench | 86.3% | #1 of 4 | Official leaderboard | |
| Single-turn harmful request evaluations (Anthropic) | 99.3% | #5 of 19 | Lab model card | |
| Molecular Biology Capabilities Test | 54.1% | #24 of 90 | Official leaderboard | |
| AutoBaxBench | 35.5% | #3 of 11 | Official leaderboard | |
| SCONE-bench | $436,700,000 | #2 of 7 | Official leaderboard | |
| SimpleSafetyTests | 100% | #22 of 75 | Official leaderboard | |
| Spiral-Bench v1.0 | 76.4 | #4 of 13 | Official leaderboard | |
| LAB-Bench CloningScenarios | 66.7% | #4 of 12 | Lab model card | |
| Cybench | 60% | #3 of 9 | Claim in Opus 4.5 System Card, via Epoch AI | |
| BABE | 41.9% | #2 of 6 | Official leaderboard | |
| Apollo Research strategic deception evaluations | 0% | #1 of 3 | Lab model card | |
| Human Pathogen Capabilities Test | 56% | #32 of 86 | Official leaderboard | |
| DTap Prompt Injection | 25.2% | #3 of 8 | Official leaderboard | |
| BinaryAudit | 26.3% | #8 of 20 | Official leaderboard | |
| LAB-Bench ProtocolQA | 83.3% | #7 of 16 | Lab model card | |
| Reward-hack-prone coding tasks (Anthropic) | 1.00% | #4 of 8 | Lab model card | |
| Prompt injection robustness against adaptive attackers, browser use (Anthropic) | 1.90% | #2 of 4 | Official leaderboard | |
| Tool use prompt injection evaluation (Anthropic) | 96% | #1 of 2 | Lab model card | |
| Creative biology | 48.8% | #4 of 7 | Lab model card | |
| LAB-Bench SeqQA | 78% | #7 of 12 | Lab model card | |
| Anthropic political even-handedness eval | 94% | #3 of 5 | Official leaderboard | |
| Average in-eval reward hacking rate (Anthropic) | 15.4% | #3 of 5 | Lab model card | |
| BBQ (Bias Benchmark for QA) | 82.2% | #16 of 25 | Lab model card | |
| CyberGym | 28.9% | #23 of 34 | Official leaderboard | |
| World-Class Bio | 37.9% | #51 of 74 | Official leaderboard | |
| Anthropic Red Team | 98.2% | #54 of 75 | Official leaderboard | |
| LAB-Bench FigQA | 49.7% | #8 of 11 | Lab model card | |
| SHADE-Arena | 1.50% | #13 of 16 | Lab model card | |
| UK AISI and CAISI simulated enterprise network range | 9.40 | #5 of 6 | Official leaderboard | |
| Gray Swan Agent Red Teaming (ART) benchmark | 40% | #12 of 14 | Lab model card | |
| Virology Capabilities Test (VCT) | 39.7% | #27 of 31 | Lab model card | |
| Impossible tasks (Anthropic) | 53% | #10 of 11 | Lab model card | |
| ABC Bench Liquid-Handling Robot | 6.30% | #32 of 34 | Official leaderboard | |
| BioTIER Permit | 69.2% | #67 of 69 | Official leaderboard | |
| Agentic coding malicious requests (Anthropic) | 98.7% | #5 of 5 | Lab model card | |
| CyberGym-E2E (615 tasks) | 10.6% | #4 of 4 | Official leaderboard | |
| CTI-REALM | 58.7% | #3 of 3 | Official leaderboard | |
| Training distribution hack rate (Anthropic) | 2.00% | #3 of 3 | Lab model card | |
| MCP prompt injection evaluation (Anthropic) | 92% | #2 of 2 | Lab model card |
Other
| Benchmark | Score | Rank | Source | |
|---|---|---|---|---|
| HELM Capabilities | 76.2 | #12 of 60 | Official leaderboard | |
| CAIS Risk Index | 40.5 | #17 of 67 | Official leaderboard | |
| ACCoRD | 70.7 | #51 of 152 | Official leaderboard | |
| LMCA | 38.8% | #60 of 147 | Official leaderboard | |
| Conceptual Reasoning Index | 51.8 | #64 of 151 | Official leaderboard | |
| CAIS Text Capabilities Index | 22.9 | #48 of 68 | Official leaderboard | |
| CAIS Vision Capabilities Index | 42.1 | #41 of 53 | Official leaderboard | |
| SAGE (Vals) | 36.1% | #64 of 81 | Official leaderboard | |
| TutorBench | 49% | #18 of 20 | Official leaderboard |
Its lab's numbers put it at 143.8, 3.8 points below its ECI
The Self-Reported Index fits one score to the 11 capability results Anthropic reported for this model, on the scale of the Epoch Capabilities Index. Labs choose which benchmarks to show and how to run them, so read it as the lab's claim, not an independent measurement. The 90% interval runs from 140.2 to 147.4. How we compute it.
- AIME 2025 100
- MMMLU 89.1
- tau2-bench 84.7
- GPQA Diamond 83.4
- SWE-bench Verified 82
- MMMU 77.8
- OSWorld-Verified 61.4
- Vals Finance Agent 55.3
- Terminal-Bench 50
- SWE-bench Verified (hard subset) 45.3
- SimpleQA 24.6
Its lab's numbers next to 8 leaderboards
Where the benchmark's own leaderboard, or Epoch AI's run, also has this model. Gaps mostly come from different harnesses, effort levels and task subsets. Every pair.
| Benchmark | Lab says | Board says | Gap |
|---|---|---|---|
| AIME 2025 | 100% High school math competition AIME 2025 (python) | 84.2% Leaderboard, thinking | +16 pts |
| SWE-bench Verified | 82% Agentic coding SWE-bench Verified (with parallel test-time compute) | 74.8% Leaderboard, Sonar Foundation Agent | +7.2 pts |
| OSWorld-Verified | 61.4% Computer use OSWorld (official OSWorld-Verified framework, 100 max steps) | 62.9% Leaderboard, 100 steps | −1.5 pts |
| GPQA Diamond | 83.4% Graduate-level reasoning GPQA Diamond | 82.3% Epoch AI run, 59k thinking | +1.1 pts |
| Vals Finance Agent | 55.3% Financial analysis Finance Agent | 54.5% Leaderboard, thinking | +0.8 pts |
| tau2-bench | 84.7% Mean of Agentic tool use τ2-bench Retail / Agentic tool use τ2-bench Airline / Agentic tool use τ2-bench Telecom | 84.7% Leaderboard | Same |
| CyberGym | 28.9% CyberGym vulnerability reproduction, 1 trial, $2 cost constraint per trial, probability of success 0.289. 30 trials 0.667. New vulnerability discovery 0.050 at 1 trial and 0.334 at 30 trials (Figures 5.2.1.A to 5.2.1.C) | 28.9% Leaderboard, Anthropic Agent | Same |
| MMMU | 77.8% Visual reasoning MMMU (validation) | 77.8% Leaderboard | Same |
Anthropic's models over time
Anthropic's models in color, against every other model on the Epoch Capabilities Index, by release date.
Source: Epoch Capabilities Index, Epoch AI (CC BY 4.0)
Its launch post
The benchmarks the lab chose to headline, with the scores it gave.
Its system card
Every result in the longer documents the lab published with it. 56 of them aren't in the launch post.
Hallucination
Safety
Robustness
Alignment
- Average in-eval reward hacking rate (Anthropic) 15.4
- Reward-hack-prone coding tasks (Anthropic) 1
- Impossible tasks (Anthropic) 53
- Training distribution hack rate (Anthropic) 2
- Anthropic automated behavioral audit
- Petri
- UK AISI alignment and monitorability evaluations
- Apollo Research strategic deception evaluations 0
- Cooperation with user deception (Anthropic)
- Agentic misalignment suite (Anthropic) 0
- Sycophancy prompts (Anthropic)
- Self-preference bias (Anthropic)
- Subversion Strategy Eval
- Research sandbagging (Anthropic)
- SHADE-Arena 1.5
Bio and chem risk
Cyber risk
AI R&D risk
- SWE-bench Verified (hard subset) 45.3
- Kernels task (Anthropic) 108.6
- Time series forecasting task (Anthropic) 5.3
- Text-based reinforcement learning task (Anthropic) 0.85
- LLM training task (Anthropic) 5.5
- Quadruped reinforcement learning task (Anthropic) 1.3
- Novel compiler task (Anthropic)
- Internal AI research evaluation suite 2 0.514
- Internal model use survey (Anthropic) 0