Anthropic·released 2025-11-241 source
Claude Opus 4.5 benchmark scores: 30 benchmarks tracked. 23% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 30 benchmarks·best result 86.1 on OTIS Mock AIME 2024-2025 (reproduced)·7 of 30 independently reproduced·$5/$25 per M tokens
Consensus: LiteLLM · Cross-check: models.dev, OpenRouter · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 86.1accuracy (%) | reproduced· optimizedT1 | 2025-11-24Epoch AI |
| DTBench | 83.12accuracy (%) | unverifiedT1 | 2025-11-24https://conceptualreasoning.ai/dtbench |
| Cybench | 82accuracy (%) | self-reported· optimizedT1 | 2025-11-24Opus 4.5 System Card |
| GPQA diamond | 81.4accuracy (%) | reproduced· optimizedT1 | 2025-11-24Epoch AI |
| ARC-AGI | 80accuracy (%) | unverified· optimizedT1 | 2025-11-24ARC Prize Leaderboard |
| SWE-Bench verified | 76.65accuracy (%) | reproduced· optimizedT1 | 2025-11-24Epoch AI |
| GeoBench | 75accuracy (%) | unverifiedT1 | 2025-11-24GeoBench leaderboard |
| METR Time Horizons | 74.97accuracy (%) | unverifiedT1 | 2025-11-24METR - Measuring AI Ability to Complete Long Tasks |
| OSWorld | 66.3accuracy (%) | unverified· optimizedT1 | 2025-11-24Anthropic annoucement |
| WeirdML | 63.74accuracy (%) | unverifiedT1 | 2025-11-24https://htihle.github.io/weirdml.html |
| Terminal Bench | 63.15accuracy (%) | unverifiedT1 | 2025-11-24https://www.tbench.ai/leaderboard/terminal-bench/2.0 |
| DeepResearch Bench | 54.8accuracy (%) | unverifiedT1 | 2025-11-24https://evals.futuresearch.ai/#drb |
| SimpleBench | 54.4accuracy (%) | unverifiedT1 | 2025-11-24SimpleBench Leaderboard |
| LMCA | 52.31accuracy (%) | unverifiedT1 | 2025-11-24https://conceptualreasoning.ai/lmca |
| SimpleQA Verified | 45.7accuracy (%) | unverifiedT2 | 2025-11-24 |
| GDPval | 45.5accuracy (%) | unverifiedT2 | 2025-11-24 |
| Balrog | 43.5accuracy (%) | unverifiedT1 | 2025-11-24Balrog Leaderboard |
| ARC-AGI-2 | 37.64accuracy (%) | unverifiedT2 | 2025-11-24 |
| ProofBench | 36accuracy (%) | unverifiedT1 | 2025-11-24https://www.vals.ai/benchmarks/proof_bench |
| FrontierMath-Tiers-1-3-v2-Private | 34.39accuracy (%) | reproducedT1 | 2025-11-24Epoch AI |
| GSO-Bench | 26.5accuracy (%) | unverifiedT1 | 2025-11-24GSO Leaderboard |
| HLE | 21.43accuracy (%) | unverifiedT2 | 2025-11-24 |
| CL-bench | 21.1accuracy (%) | unverifiedT2 | 2025-11-24 |
| EBR-bench | 14.29accuracy (%) | reproducedT1 | 2025-11-24Epoch AI |
| Mystery Game Puzzles | 14.08accuracy (%) | reproducedT1 | 2025-11-24Epoch AI |
| VPCT | 10accuracy (%) | unverifiedT1 | 2025-11-24Tweet from VPCT creator |
| Chess Puzzles | 9.51accuracy (%) | unverifiedT2 | 2025-11-24 |
| FrontierMath-Tier-4-v2-Private | 4.88accuracy (%) | reproducedT1 | 2025-11-24Epoch AI |
| Remote Labor Index | 3.75accuracy (%) | unverifiedT2 | 2025-11-24 |
| Furniture Assembly | 0accuracy (%) | unverifiedT2 | 2025-11-24 |
Claims drawn from cited facts, not live model generation.
This model was developed by Anthropic and released in 2025.
2 cited facts
This model has scores on 30 tracked benchmarks and currently leads 0 of them. The record’s evidence status is independently reproduced.
3 cited facts
Its mean gap to the best recorded score across its tracked benchmarks is 33.46 points.
1 cited fact
6 facts cross-checked across data sources: 3 corroborated, 2 single-source, 1 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, litellm_prices, modelsdev_models, openrouter_models
Claude Opus 4.5 is an AI model developed by Anthropic, released 2025-11-24. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Claude Opus 4.5 has recorded scores on 30 benchmarks, each shown with its evidence status.
Claude Opus 4.5 has recorded scores on 30 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, WeirdML, LMCA, SimpleQA Verified, and 24 more. The full table above shows each score with its evidence status.
7 of 30 recorded scores (23%) are independently reproduced rather than self-reported by the lab.
Claude Opus 4.5 has 30 tracked claims: 7 independently reproduced, 1 self-reported, 22 unverified.
Listed API pricing: $5 per million input tokens, $25 per million output tokens. See the pricing block for the full breakdown.