NVIDIA·released 2026-05-11sources disagree
Kimi K2.6 benchmark scores: 16 benchmarks tracked. 38% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 16 benchmarks·best result 96.11 on OTIS Mock AIME 2024-2025 (reproduced)·6 of 16 independently reproduced·$0.95/$4 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 | 96.11accuracy (%) | reproduced· optimizedT1 | 2026-04-20Epoch AI |
| GPQA diamond | 87.71accuracy (%) | reproduced· optimizedT1 | 2026-04-20Epoch AI |
| DTBench | 84.88accuracy (%) | unverifiedT1 | 2026-04-20https://conceptualreasoning.ai/dtbench |
| SWE-Bench verified | 76.65accuracy (%) | reproduced· optimizedT1 | 2026-04-20Epoch AI |
| FrontierMath-Tiers-1-3-v2-Private | 57.19accuracy (%) | reproducedT1 | 2026-04-20Epoch AI |
| WeirdML | 55.86accuracy (%) | unverifiedT1 | 2026-04-20https://htihle.github.io/weirdml.html |
| LMCA | 43.84accuracy (%) | unverifiedT1 | 2026-04-20https://conceptualreasoning.ai/lmca |
| SimpleQA Verified | 34.9accuracy (%) | unverifiedT2 | 2026-04-20 |
| FrontierMath-Tier-4-v2-Private | 25.64accuracy (%) | reproducedT1 | 2026-04-20Epoch AI |
| ExploitBench | 18.4accuracy (%) | unverifiedT2 | 2026-04-20 |
| ProofBench | 16accuracy (%) | unverifiedT1 | 2026-04-20https://www.vals.ai/benchmarks/proof_bench |
| Chess Puzzles | 15.82accuracy (%) | unverifiedT2 | 2026-04-20 |
| Mystery Game Puzzles | 9.67accuracy (%) | unverifiedT2 | 2026-04-20 |
| OSWorld 2.0 | 4.6accuracy (%) | unverifiedT1 | 2026-04-20https://osworld-v2.xlang.ai/ |
| EBR-bench | 2.38accuracy (%) | reproducedT1 | 2026-04-20Epoch AI |
| Furniture Assembly | 0accuracy (%) | unverifiedT2 | 2026-04-20 |
Claims drawn from cited facts, not live model generation.
This model was developed by NVIDIA and released in 2026.
2 cited facts
This model is scored on 16 tracked benchmarks, but it holds no current top score on any 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 42.31 points. It currently holds the top score on none of them.
2 cited facts
6 facts cross-checked across data sources: 1 corroborated, 5 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, huggingface_models, litellm_prices, modelsdev_models +1 more
Kimi K2.6 is an AI model developed by NVIDIA, released 2026-05-11. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Kimi K2.6 has recorded scores on 16 benchmarks, each shown with its evidence status.
Kimi K2.6 has recorded scores on 16 benchmarks — GPQA diamond, OTIS Mock AIME 2024-2025, DTBench, WeirdML, LMCA, SimpleQA Verified, and 10 more. The full table above shows each score with its evidence status.
6 of 16 recorded scores (38%) are independently reproduced rather than self-reported by the lab.
Kimi K2.6 has 16 tracked claims: 6 independently reproduced, 10 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.