Qwen3 235B A22B 2507 Instruct is a multilingual, instruction-tuned Mixture-of-Experts model built on the Qwen3-235B architecture, activating 22B parameters per forward pass. It is optimized for versatile text generation tasks, including instruction following, logical reasoning, mathematics, coding, and tool use. The model supports a native 262K context window but does not include “thinking mode” (<think> blocks).
Compared to its base variant, this version offers substantial improvements in knowledge coverage, long-context reasoning, coding benchmarks, and open-ended alignment. It demonstrates particularly strong performance in multilingual understanding, mathematical reasoning (AIME, HMMT), and evaluation benchmarks such as Arena-Hard and WritingBench.
| Creator | Alibaba |
| Release Date | July, 2025 |
| License | Apache 2.0 |
| Context Window | 262,144 |
| Image Input Support | No |
| Open Source (Weights) | Yes |
| Parameters | 235B, 22.0B active at inference time |
| Model Weights | Click here |
Performance
| Deepseek-V3-0324 | GPT-4o-0327 | Claude Opus 4 Non-thinking | Kimi K2 | Qwen3-235B-A22B Non-thinking | Qwen3-235B-A22B-Instruct-2507 | |
|---|---|---|---|---|---|---|
| Knowledge | ||||||
| MMLU-Pro | 81.2 | 79.8 | 86.6 | 81.1 | 75.2 | 83.0 |
| MMLU-Redux | 90.4 | 91.3 | 94.2 | 92.7 | 89.2 | 93.1 |
| GPQA | 68.4 | 66.9 | 74.9 | 75.1 | 62.9 | 77.5 |
| SuperGPQA | 57.3 | 51.0 | 56.5 | 57.2 | 48.2 | 62.6 |
| SimpleQA | 27.2 | 40.3 | 22.8 | 31.0 | 12.2 | 54.3 |
| CSimpleQA | 71.1 | 60.2 | 68.0 | 74.5 | 60.8 | 84.3 |
| Reasoning | ||||||
| AIME25 | 46.6 | 26.7 | 33.9 | 49.5 | 24.7 | 70.3 |
| HMMT25 | 27.5 | 7.9 | 15.9 | 38.8 | 10.0 | 55.4 |
| ARC-AGI | 9.0 | 8.8 | 30.3 | 13.3 | 4.3 | 41.8 |
| ZebraLogic | 83.4 | 52.6 | – | 89.0 | 37.7 | 95.0 |
| LiveBench 20241125 | 66.9 | 63.7 | 74.6 | 76.4 | 62.5 | 75.4 |
| Coding | ||||||
| LiveCodeBench v6 (25.02-25.05) | 45.2 | 35.8 | 44.6 | 48.9 | 32.9 | 51.8 |
| MultiPL-E | 82.2 | 82.7 | 88.5 | 85.7 | 79.3 | 87.9 |
| Aider-Polyglot | 55.1 | 45.3 | 70.7 | 59.0 | 59.6 | 57.3 |
| Alignment | ||||||
| IFEval | 82.3 | 83.9 | 87.4 | 89.8 | 83.2 | 88.7 |
| Arena-Hard v2* | 45.6 | 61.9 | 51.5 | 66.1 | 52.0 | 79.2 |
| Creative Writing v3 | 81.6 | 84.9 | 83.8 | 88.1 | 80.4 | 87.5 |
| WritingBench | 74.5 | 75.5 | 79.2 | 86.2 | 77.0 | 85.2 |
| Agent | ||||||
| BFCL-v3 | 64.7 | 66.5 | 60.1 | 65.2 | 68.0 | 70.9 |
| TAU1-Retail | 49.6 | 60.3# | 81.4 | 70.7 | 65.2 | 71.3 |
| TAU1-Airline | 32.0 | 42.8# | 59.6 | 53.5 | 32.0 | 44.0 |
| TAU2-Retail | 71.1 | 66.7# | 75.5 | 70.6 | 64.9 | 74.6 |
| TAU2-Airline | 36.0 | 42.0# | 55.5 | 56.5 | 36.0 | 50.0 |
| TAU2-Telecom | 34.0 | 29.8# | 45.2 | 65.8 | 24.6 | 32.5 |
| Multilingualism | ||||||
| MultiIF | 66.5 | 70.4 | – | 76.2 | 70.2 | 77.5 |
| MMLU-ProX | 75.8 | 76.2 | – | 74.5 | 73.2 | 79.4 |
| INCLUDE | 80.1 | 82.1 | – | 76.9 | 75.6 | 79.5 |
| PolyMATH | 32.2 | 25.5 | 30.0 | 44.8 | 27.0 | 50.2 |
