# Qwen3 235B-A22B (Reasoning) benchmark scores

Alibaba (Qwen) · model · https://benchgap.net/model/qwen3-235b-a22b-reasoning · data retrieved 2026-10-29

As of 2026-10-29, Qwen3 235B-A22B (Reasoning) (Alibaba (Qwen)) has measured scores on 9 benchmarks and estimated scores on 22 more.

| Benchmark | Score | Source |
|---|---|---|
| [AA-GPQA Diamond](https://benchgap.net/b/aa-gpqa-diamond/current.md) | 69.1% | estimated ± 6.3 pp, medium confidence |
| [AA-HLE](https://benchgap.net/b/aa-hle/current.md) | 7.8% | estimated ± 5.0 pp, high confidence |
| [AIME26](https://benchgap.net/b/aime2026/current.md) | 82.0% | estimated ± 4.6 pp, medium confidence |
| [CritPt](https://benchgap.net/b/critpt/current.md) | 0.0% | estimated ± 0.8 pp, low confidence |
| [GPQA Diamond](https://benchgap.net/b/gpqa-diamond/current.md) | 71.3% | estimated ± 1.2 pp, high confidence |
| [HLE](https://benchgap.net/b/hle/current.md) | 21.2% | estimated ± 2.3 pp, low confidence |
| [IFBench](https://benchgap.net/b/ifbench/current.md) | 51.5% | estimated ± 9.2 pp, medium confidence |
| [IFEval](https://benchgap.net/b/ifeval/current.md) | 83.4% | measured |
| [MMLU-Pro](https://benchgap.net/b/mmlu-pro/current.md) | 84.5% | estimated ± 1.1 pp, high confidence |
| [AA-IFBench](https://benchgap.net/b/aa-if-bench/current.md) | 30.5% | estimated ± 8.8 pp, medium confidence |
| [AIME 2024](https://benchgap.net/b/aime2024/current.md) | 85.7% | measured |
| [Artificial Analysis Intelligence Index](https://benchgap.net/b/artificialanalysis/current.md) | 13.7% | estimated ± 3.8 pp, medium confidence |
| [GPQA](https://benchgap.net/b/gpqa/current.md) | 71.1% | measured |
| [MMLU](https://benchgap.net/b/mmlu/current.md) | 87.9% | estimated ± 4.3 pp, high confidence |
| [AA-Omniscience Accuracy](https://benchgap.net/b/omniscienceaccuracy/current.md) | 17.1% | estimated ± 5.4 pp, low confidence |
| [MATH-500](https://benchgap.net/b/math-500/current.md) | 98.0% | measured |
| [MMMLU](https://benchgap.net/b/mmmlu/current.md) | 84.3% | measured |
| [AA MMLU-Pro](https://benchgap.net/b/aa-mmlu-pro/current.md) | 85.0% | estimated ± 1.0 pp, low confidence |
| [AIME 2025](https://benchgap.net/b/aime2025/current.md) | 81.5% | measured |
| [ARC-AGI-1](https://benchgap.net/b/arcagi1/current.md) | 18.0% | estimated ± 7.0 pp, low confidence |
| [ARC-AGI-2](https://benchgap.net/b/arc-agi-2/current.md) | 0.0% | estimated ± 11.6 pp, low confidence |
| [Vals GPQA Diamond](https://benchgap.net/b/vals-gpqa-diamond/current.md) | 57.2% | estimated ± 4.8 pp, medium confidence |
| [Vals MMLU-Pro](https://benchgap.net/b/vals-mmlu-pro/current.md) | 28.7% | estimated ± 1.2 pp, medium confidence |
| [HLE w/o tools](https://benchgap.net/b/hlenotools/current.md) | 11.7% | estimated ± 5.2 pp, medium confidence |
| [SWE Multilingual](https://benchgap.net/b/swe-bench-multilingual/current.md) | 73.2% | estimated ± 3.7 pp, low confidence |
| [C-Eval](https://benchgap.net/b/ceval/current.md) | 89.6% | measured |
| [HMMT Feb 2025](https://benchgap.net/b/hmmtfeb2025/current.md) | 73.2% | estimated ± 3.1 pp, high confidence |
| [INCLUDE](https://benchgap.net/b/include/current.md) | 78.7% | measured |
| [MMLU-Redux](https://benchgap.net/b/mmluredux/current.md) | 92.7% | measured |
| [SuperGPQA](https://benchgap.net/b/supergpqa/current.md) | 64.4% | estimated ± 2.0 pp, low confidence |
| [SimpleQA](https://benchgap.net/b/simpleqa/current.md) | 31.7% | estimated ± 14.6 pp, low confidence |