Anthropic·released 2026-06-30✓ 2 sources
Claude Sonnet 5 benchmark scores: 17 benchmarks tracked. 29% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 17 benchmarks·best result 94.72 on OTIS Mock AIME 2024-2025 (reproduced)·5 of 17 independently reproduced·$2/$10 per M tokens
Consensus: LiteLLM · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.72accuracy (%) | reproduced· optimizedT1 | 2026-06-30Epoch AI |
| DTBench | 87.47accuracy (%) | unverifiedT1 | 2026-06-30https://conceptualreasoning.ai/dtbench |
| GPQA diamond | 87.37accuracy (%) | reproduced· optimizedT1 | 2026-06-30Epoch AI |
| ProofBench | 77accuracy (%) | unverifiedT1 | 2026-06-30https://www.vals.ai/benchmarks/proof_bench |
| WeirdML | 68.78accuracy (%) | unverifiedT1 | 2026-06-30https://htihle.github.io/weirdml.html |
| FrontierMath-Tiers-1-3-v2-Private | 65.61accuracy (%) | reproducedT1 | 2026-06-30Epoch AI |
| Surface Evolver Bench | 60accuracy (%) | unverifiedT1 | 2026-06-30https://yhenon.github.io/surface-evolver-llm-eval/ |
| LMCA | 58.85accuracy (%) | unverifiedT1 | 2026-06-30https://conceptualreasoning.ai/lmca |
| APEX-Agents | 54.5accuracy (%) | unverifiedT2 | 2026-06-30 |
| DeepSWE | 53.85accuracy (%) | unverifiedT1 | 2026-06-30https://deepswe.datacurve.ai/ |
| SimpleBench | 52.72accuracy (%) | unverifiedT1 | 2026-06-30SimpleBench Leaderboard |
| FrontierCode | 42.73accuracy (%) | unverifiedT1 | 2026-06-30https://cognition.com/frontiercode |
| Chess Puzzles | 42.13accuracy (%) | unverifiedT2 | 2026-06-30 |
| GSO-Bench | 37.25accuracy (%) | unverifiedT1 | 2026-06-30https://gso-bench.github.io/index.html |
| SimpleQA Verified | 33.7accuracy (%) | unverifiedT2 | 2026-06-30 |
| FrontierMath-Tier-4-v2-Private | 29.27accuracy (%) | reproducedT1 | 2026-06-30Epoch AI |
| Mystery Game Puzzles | 28.4accuracy (%) | reproducedT1 | 2026-06-30Epoch AI |
Claims drawn from cited facts, not live model generation.
This model was developed by Anthropic. It was released in 2026.
2 cited facts
This model is scored on 17 tracked benchmarks. It holds no current top score on any of them. The record's evidence status is independently reproduced.
3 cited facts
Across its tracked benchmarks, the mean gap to the best recorded score is 28.84 points.
1 cited fact
6 facts cross-checked across data sources: 1 corroborated, 5 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: curated_models, epoch_benchmarks, litellm_prices
Claude Sonnet 5 is an AI model developed by Anthropic, released 2026-06-30. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Claude Sonnet 5 has recorded scores on 17 benchmarks, each shown with its evidence status.
Claude Sonnet 5 has recorded scores on 17 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, WeirdML, LMCA, SimpleQA Verified, and 11 more. The full table above shows each score with its evidence status.
5 of 17 recorded scores (29%) are independently reproduced rather than self-reported by the lab.
Claude Sonnet 5 has 17 tracked claims: 5 independently reproduced, 12 unverified.
Listed API pricing: $2 per million input tokens, $10 per million output tokens. See the pricing block for the full breakdown.