# Gemini 1.5 Flash benchmark scores

Google · model · https://benchgap.net/model/gemini-1-5-flash · data retrieved 2026-10-29

As of 2026-10-29, Gemini 1.5 Flash (Google) has measured scores on 9 benchmarks and estimated scores on 45 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 46.3% | measured |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 3.2% | measured |
| [AA-SciCode](https://benchgap.net/b/aa-sci-code/current.md) | 7.4% | estimated ± 3.9 pp, medium confidence |
| [AIME26](https://benchgap.net/b/aime2026/current.md) | 20.5% | estimated ± 4.6 pp, low confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.2% | estimated ± 2.4 pp, high confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 50.4% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 2.1% | estimated ± 6.9 pp, low confidence |
| [SciCode](https://benchgap.net/b/scicode/current.md) | 7.3% | estimated ± 3.3 pp, medium confidence |
| [AA Coding Index](https://benchgap.net/b/aa-coding-index/current.md) | 23.4% | estimated ± 5.3 pp, low confidence |
| [AA-MMMU-Pro](https://benchgap.net/b/aa-mmmu-pro/current.md) | 48.4% | measured |
| [SWE-bench Verified](https://benchgap.net/b/swe-bench-verified/current.md) | 9.6% | measured |
| [SWE-bench Pro](https://benchgap.net/b/swe-bench-pro/current.md) | 0.0% | estimated ± 4.6 pp, medium confidence |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 66.2% | estimated ± 4.1 pp, medium confidence |
| [AIME 2024](https://benchgap.net/b/aime2024/current.md) | 25.1% | estimated ± 2.6 pp, medium confidence |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 7.1% | measured |
| [BBH](https://benchgap.net/b/bbh/current.md) | 82.7% | estimated ± 4.5 pp, low confidence |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 50.0% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 81.0% | estimated ± 2.7 pp, high confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 13.7% | estimated ± 2.7 pp, low confidence |
| [MATH-500](https://benchgap.net/b/math-500/current.md) | 89.1% | estimated ± 2.1 pp, medium confidence |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 72.5% | estimated ± 1.7 pp, high confidence |
| [MMMU](https://benchgap.net/b/mmmu/current.md) | 58.3% | measured |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 83.3% | estimated ± 1.1 pp, medium confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 14.7% | measured |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 59.7% | estimated ± 8.1 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 30.7% | estimated ± 14.6 pp, low confidence |
| [ParseBench](https://benchgap.net/b/parsebench/current.md) | 41.8% | estimated ± 5.5 pp, low confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 81.3% | estimated ± 5.3 pp, low confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 83.9% | estimated ± 2.1 pp, medium confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 28.6% | estimated ± 4.6 pp, medium confidence |
| [ARC-AGI-3](https://benchgap.net/b/arcagi3/current.md) | 1.4% | estimated ± 7.7 pp, low confidence |
| [CharXiv](https://benchgap.net/b/charxiv/current.md) | 60.8% | estimated ± 6.2 pp, low confidence |
| [AI2D_TEST](https://benchgap.net/b/ai2dtest/current.md) | 87.3% | estimated ± 2.0 pp, high confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 87.7% | estimated ± 1.0 pp, low confidence |
| [CountBench](https://benchgap.net/b/countbench/current.md) | 92.6% | estimated ± 3.2 pp, high confidence |
| [DynaMath](https://benchgap.net/b/dynamath/current.md) | 79.2% | estimated ± 5.8 pp, low confidence |
| [ERQA](https://benchgap.net/b/erqa/current.md) | 47.1% | estimated ± 5.2 pp, low confidence |
| [MathVision](https://benchgap.net/b/mathvision/current.md) | 54.7% | estimated ± 3.6 pp, high confidence |
| [MLVU (M-Avg)](https://benchgap.net/b/mlvuavg/current.md) | 74.1% | estimated ± 2.4 pp, high confidence |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 87.6% | estimated ± 1.2 pp, low confidence |
| [MMMU-Pro](https://benchgap.net/b/mmmu-pro/current.md) | 48.5% | estimated ± 1.6 pp, high confidence |
| [RealWorldQA](https://benchgap.net/b/realworldqa/current.md) | 74.9% | estimated ± 3.6 pp, high confidence |
| [ScreenSpot Pro](https://benchgap.net/b/screenspot-pro/current.md) | 53.0% | estimated ± 7.3 pp, low confidence |
| [SimpleVQA](https://benchgap.net/b/simplevqa/current.md) | 42.5% | estimated ± 7.1 pp, medium confidence |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 61.7% | estimated ± 10.1 pp, low confidence |
| [Video-MME (w/o subtitle)](https://benchgap.net/b/videommenosub/current.md) | 64.0% | estimated ± 1.3 pp, high confidence |
| [Video-MME (with subtitle)](https://benchgap.net/b/videommewithsub/current.md) | 70.3% | estimated ± 3.2 pp, high confidence |
| [VideoMMMU](https://benchgap.net/b/videommmu/current.md) | 48.1% | estimated ± 3.8 pp, high confidence |
| [We-Math](https://benchgap.net/b/wemath/current.md) | 68.8% | estimated ± 7.2 pp, low confidence |
| [HealthBench (length-adjusted)](https://benchgap.net/b/healthbenchlengthadjusted/current.md) | 53.9% | estimated ± 3.3 pp, medium confidence |
| [HealthBench Professional (raw)](https://benchgap.net/b/healthbenchprofessionalraw/current.md) | 49.2% | estimated ± 8.6 pp, low confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 8.6% | measured |
| [MMVU](https://benchgap.net/b/mmvu/current.md) | 58.7% | estimated ± 3.8 pp, medium confidence |
| [MMMU-Pro w/ Python](https://benchgap.net/b/mmmupropython/current.md) | 54.3% | estimated ± 2.0 pp, medium confidence |