Google DeepMind·released 2026-07-211 source
Gemini 3.6 Flash 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 94.16 on OTIS Mock AIME 2024-2025 (reproduced)·5 of 17 independently reproduced
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| OTIS Mock AIME 2024-2025 | 94.16accuracy (%) | reproduced· optimizedT1 | 2026-07-21Epoch AI |
| DTBench | 92.45accuracy (%) | unverifiedT1 | 2026-07-21https://conceptualreasoning.ai/dtbench |
| GPQA diamond | 92.17accuracy (%) | reproduced· optimizedT1 | 2026-07-21Epoch AI |
| ARC-AGI | 91.17accuracy (%) | unverified· optimizedT1 | 2026-07-21https://arcprize.org/leaderboard |
| SimpleQA Verified | 66.2accuracy (%) | unverifiedT2 | 2026-07-21 |
| ARC-AGI-2 | 60.42accuracy (%) | unverifiedT2 | 2026-07-21 |
| FrontierMath-Tiers-1-3-v2-Private | 58.95accuracy (%) | reproducedT1 | 2026-07-21Epoch AI |
| WeirdML | 56.1accuracy (%) | unverifiedT1 | 2026-07-21https://htihle.github.io/weirdml.html |
| LMCA | 52.86accuracy (%) | unverifiedT1 | 2026-07-21https://conceptualreasoning.ai/lmca |
| APEX-Agents | 46.9accuracy (%) | unverifiedT2 | 2026-07-21 |
| DeepSWE | 46.68accuracy (%) | unverifiedT1 | 2026-07-21https://deepswe.datacurve.ai/ |
| Chess Puzzles | 38.97accuracy (%) | unverifiedT2 | 2026-07-21 |
| ProofBench | 36accuracy (%) | unverifiedT1 | 2026-07-21https://www.vals.ai/benchmarks/proof_bench |
| FrontierCode | 34.37accuracy (%) | unverifiedT1 | 2026-07-21https://cognition.com/frontiercode |
| Mystery Game Puzzles | 22.89accuracy (%) | reproducedT1 | 2026-07-21Epoch AI |
| FrontierMath-Tier-4-v2-Private | 21.95accuracy (%) | reproducedT1 | 2026-07-21Epoch AI |
| Furniture Assembly | 0accuracy (%) | unverifiedT2 | 2026-07-21 |
Claims drawn from cited facts, not live model generation.
This model was developed by Google DeepMind and released in 2026.
2 cited facts
This model is scored on 17 tracked benchmarks. It currently holds no 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 32.97 points. It currently holds the top score on none of them.
2 cited facts
1 facts cross-checked across data sources: 1 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks
Gemini 3.6 Flash is an AI model developed by Google DeepMind, released 2026-07-21. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Gemini 3.6 Flash has recorded scores on 17 benchmarks, each shown with its evidence status.
Gemini 3.6 Flash 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.
Gemini 3.6 Flash has 17 tracked claims: 5 independently reproduced, 12 unverified.