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A head-to-head benchmark comparison of Qwen3-30B-A3B vs Qwen3-235B-A22B across 27 evaluations. Qwen3-235B-A22B leads on the most benchmarks (22).
Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, ac.
Full Qwen3-30B-A3B specs →Today, we are excited to announce the release of Qwen3, the latest addition to the Qwen family of large language models. Our flagship model, Qwen3-235B-A22B, ac.
Full Qwen3-235B-A22B specs →| Benchmark | Qwen3-30B-A3B | Qwen3-235B-A22B |
|---|---|---|
| code | ||
| Codeforces Elo | 1,974 | 2,056 |
| LiveCodeBench v5 | 62.6% | 70.7% |
| SciCode | 28.5% | — |
| general | ||
| AlignBench v1.1 | 8.7 | 8.94 |
| ArenaHard | 91% | 96.1% |
| C-Eval | 86.6% | 89.6% |
| Creative Writing v3 | 79.1 | 84.6 |
| IFEval | 86.5% | 83.4% |
| LiveBench | 74.3 | 77.1 |
| MMLU-Redux | 89.5% | 92.7% |
| MMMLU | 78.4% | 84.3% |
| Multi-IF | 72.2 | 71.9 |
| WritingBench | 7.7 | 8.03 |
| knowledge | ||
| INCLUDE | 71.9 | 78.7 |
| math | ||
| AIME 2024 | 80.4% | 86.68% |
| AIME 2025 | 70.9% | 81.5% |
| HMMT February 2025 | 23.54% | 61.88% |
| MATH-500 | 98% | 98% |
| MT-AIME 2024 | 73.9 | 80.8 |
| Omni-MATH-HARD | 23.87% | 56.91% |
| PolyMath-en | 46.1 | 54.7 |
| reasoning | ||
| AutoLogi | 88.7 | 89 |
| GPQA Diamond | 65.8% | 71.1% |
| Humanity's Last Exam | 6.14% | 14.23% |
| MLogiQA | 70.1 | 77.1 |
| ZebraLogic | 89.5% | 80.3% |
| tool-use | ||
| BFCL v3 | 69.1% | 70.8% |
Best result per row highlighted in cyan. Each benchmark links to its definition and sources; each model links to its full scorecard.
Across the 27 benchmarks compared here, Qwen3-235B-A22B leads on the most (22). The right choice still depends on your task — check the per-benchmark table above for coding, reasoning and math.
Qwen3-235B-A22B has the strongest result on Codeforces Elo among the models compared here. See the code-category rows in the table for the full picture.
This comparison covers 27 benchmarks on which at least one of the selected models has a published score.
Scores are aggregated from official model cards, technical reports and standard public evaluations, and link back to each benchmark's source. They are updated as new results are published.
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