Qwen·released 2026-05-191 source
Qwen3.7-Max benchmark scores: 13 benchmarks tracked. 46% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 13 benchmarks·best result 95.55 on OTIS Mock AIME 2024-2025 (reproduced)·6 of 13 independently reproduced·$2.5/$7.5 per M tokens
Source: models.dev, OpenRouter · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 95.55accuracy (%) | reproduced· optimizedT1 | 2026-05-19Epoch AI |
| GPQA diamond | 87.88accuracy (%) | reproduced· optimizedT1 | 2026-05-19Epoch AI |
| DTBench | 87.12accuracy (%) | unverifiedT1 | 2026-05-19https://conceptualreasoning.ai/dtbench |
| SWE-Bench verified | 77.27accuracy (%) | reproduced· optimizedT1 | 2026-05-19Epoch AI |
| FrontierMath-Tiers-1-3-v2-Private | 64.56accuracy (%) | reproducedT1 | 2026-05-19Epoch AI |
| SimpleBench | 64.48accuracy (%) | unverifiedT1 | 2026-05-19SimpleBench Leaderboard |
| SimpleQA Verified | 55.77accuracy (%) | unverifiedT2 | 2026-05-19 |
| LMCA | 51.79accuracy (%) | unverifiedT1 | 2026-05-19https://conceptualreasoning.ai/lmca |
| FrontierMath-Tier-4-v2-Private | 34.15accuracy (%) | reproducedT1 | 2026-05-19Epoch AI |
| ProofBench | 26accuracy (%) | unverifiedT1 | 2026-05-19https://www.vals.ai/benchmarks/proof_bench |
| Mystery Game Puzzles | 25.09accuracy (%) | unverifiedT2 | 2026-05-19 |
| Chess Puzzles | 22.14accuracy (%) | unverifiedT2 | 2026-05-19 |
| EBR-bench | 9.52accuracy (%) | reproducedT1 | 2026-05-19Epoch AI |
Claims drawn from cited facts, not live model generation.
This model was developed by Qwen and released in 2026.
2 cited facts
This model has scores on 13 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
5 facts cross-checked across data sources: 2 corroborated, 1 single-source, 2 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, modelsdev_models, openrouter_models
Qwen3.7-Max is an AI model developed by Qwen, released 2026-05-19. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Qwen3.7-Max has recorded scores on 13 benchmarks, each shown with its evidence status.
Qwen3.7-Max has recorded scores on 13 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, LMCA, SimpleQA Verified, Chess Puzzles, and 7 more. The full table above shows each score with its evidence status.
6 of 13 recorded scores (46%) are independently reproduced rather than self-reported by the lab.
Qwen3.7-Max has 13 tracked claims: 6 independently reproduced, 7 unverified.
Listed API pricing: $2.5 per million input tokens, $7.5 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.