Moonshot AI·released 2026-06-121 source
Kimi K2.7 Code benchmark scores: 12 benchmarks tracked. 33% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 12 benchmarks·best result 95.55 on OTIS Mock AIME 2024-2025 (reproduced)·4 of 12 independently reproduced·$0.95/$4 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 | 2026-06-12Epoch AI |
| GPQA diamond | 83.84accuracy (%) | reproduced· optimizedT1 | 2026-06-12Epoch AI |
| WeirdML | 54.12accuracy (%) | unverifiedT1 | 2026-06-12https://htihle.github.io/weirdml.html |
| FrontierMath-Tiers-1-3-v2-Private | 54.04accuracy (%) | reproducedT1 | 2026-06-12Epoch AI |
| SimpleBench | 49.48accuracy (%) | unverifiedT1 | 2026-06-12https://lmcouncil.ai/benchmarks |
| Surface Evolver Bench | 48.75accuracy (%) | unverifiedT1 | 2026-06-12https://yhenon.github.io/surface-evolver-llm-eval/ |
| APEX-Agents | 37.6accuracy (%) | unverifiedT2 | 2026-06-12 |
| SimpleQA Verified | 36.5accuracy (%) | unverifiedT2 | 2026-06-12 |
| DeepSWE | 30.53accuracy (%) | unverifiedT1 | 2026-06-12https://deepswe.datacurve.ai/ |
| FrontierCode | 30.06accuracy (%) | unverifiedT1 | 2026-06-12https://cognition.com/frontiercode |
| FrontierMath-Tier-4-v2-Private | 12.2accuracy (%) | reproducedT1 | 2026-06-12Epoch AI |
| Chess Puzzles | 9.51accuracy (%) | unverifiedT2 | 2026-06-12 |
Claims drawn from cited facts, not live model generation.
This model was developed by Moonshot AI and released in 2026.
2 cited facts
This model has scores on 12 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 39.45 points.
1 cited fact
6 facts cross-checked across data sources: 1 corroborated, 2 single-source, 3 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, modelsdev_models, openrouter_models
Kimi K2.7 Code is an AI model developed by Moonshot AI, released 2026-06-12. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Kimi K2.7 Code has recorded scores on 12 benchmarks, each shown with its evidence status.
Kimi K2.7 Code has recorded scores on 12 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, WeirdML, SimpleQA Verified, Chess Puzzles, SimpleBench, and 6 more. The full table above shows each score with its evidence status.
4 of 12 recorded scores (33%) are independently reproduced rather than self-reported by the lab.
Kimi K2.7 Code has 12 tracked claims: 4 independently reproduced, 8 unverified.
Listed API pricing: $0.95 per million input tokens, $4 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.