# Qwen3 32B benchmark scores

Alibaba (Qwen) · model · https://benchgap.net/model/qwen3-32b · data retrieved 2026-10-29

As of 2026-10-29, Qwen3 32B (Alibaba (Qwen)) has measured scores on 9 benchmarks and estimated scores on 17 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 52.4% | estimated ± 6.3 pp, medium confidence |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 4.6% | estimated ± 5.0 pp, high confidence |
| [AIME26](https://benchgap.net/b/aime2026/current.md) | 25.6% | estimated ± 4.6 pp, low confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.0% | estimated ± 2.9 pp, low confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 55.0% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 10.0% | estimated ± 6.8 pp, medium confidence |
| [IFBench](https://benchgap.net/b/ifbench/current.md) | 51.1% | estimated ± 9.2 pp, medium confidence |
| [IFEval](https://benchgap.net/b/ifeval/current.md) | 83.2% | measured |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 73.9% | estimated ± 1.1 pp, high confidence |
| [AA-IFBench](https://benchgap.net/b/aa-if-bench/current.md) | 30.2% | estimated ± 8.8 pp, medium confidence |
| [AIME 2024](https://benchgap.net/b/aime2024/current.md) | 31.0% | measured |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 7.7% | estimated ± 3.8 pp, low confidence |
| [BBH](https://benchgap.net/b/bbh/current.md) | 82.7% | estimated ± 4.5 pp, low confidence |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 54.6% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 87.1% | estimated ± 4.3 pp, high confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 21.6% | estimated ± 8.1 pp, medium confidence |
| [MATH-500](https://benchgap.net/b/math-500/current.md) | 88.6% | measured |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 76.5% | measured |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 82.4% | estimated ± 1.0 pp, low confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 20.2% | measured |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 11.6% | estimated ± 5.2 pp, low confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 83.3% | measured |
| [INCLUDE](https://benchgap.net/b/include/current.md) | 70.9% | measured |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 85.7% | measured |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 51.3% | estimated ± 4.1 pp, high confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 16.8% | estimated ± 14.6 pp, low confidence |