Qwen: Qwen3 30B A3B 2507
Qwen3 30B A3B 2507 Instruct is a 30.5B-parameter Mixture-of-Experts language model from the Qwen series, with 3.3B active parameters per inference. Operating in non-thinking mode, it is optimized for high-quality instruction following, multilingual comprehension, and agentic tool use. Trained further on instruction data, it delivers strong results across benchmarks in reasoning (AIME, ZebraLogic), coding (MultiPL-E, LiveCodeBench), and alignment (IFEval, WritingBench). Compared to its base non-instruct variant, it performs significantly better on open-ended and subjective tasks while maintaining robust factual accuracy and coding capabilities.
| Creator | Alibaba |
| Release Date | July, 2025 |
| License | Apache 2.0 |
| Context Window | 262,144 |
| Image Input Support | No |
| Open Source (Weights) | Yes |
| Parameters | 30.5B, 3.3B active at inference time |
| Model Weights | Click here |
Performance
| Deepseek-V3-0324 | GPT-4o-0327 | Gemini-2.5-Flash Non-Thinking | Qwen3-235B-A22B Non-Thinking | Qwen3-30B-A3B Non-Thinking | Qwen3-30B-A3B-Instruct-2507 | |
|---|---|---|---|---|---|---|
| Knowledge | ||||||
| MMLU-Pro | 81.2 | 79.8 | 81.1 | 75.2 | 69.1 | 78.4 |
| MMLU-Redux | 90.4 | 91.3 | 90.6 | 89.2 | 84.1 | 89.3 |
| GPQA | 68.4 | 66.9 | 78.3 | 62.9 | 54.8 | 70.4 |
| SuperGPQA | 57.3 | 51.0 | 54.6 | 48.2 | 42.2 | 53.4 |
| Reasoning | ||||||
| AIME25 | 46.6 | 26.7 | 61.6 | 24.7 | 21.6 | 61.3 |
| HMMT25 | 27.5 | 7.9 | 45.8 | 10.0 | 12.0 | 43.0 |
| ZebraLogic | 83.4 | 52.6 | 57.9 | 37.7 | 33.2 | 90.0 |
| LiveBench 20241125 | 66.9 | 63.7 | 69.1 | 62.5 | 59.4 | 69.0 |
| Coding | ||||||
| LiveCodeBench v6 (25.02-25.05) | 45.2 | 35.8 | 40.1 | 32.9 | 29.0 | 43.2 |
| MultiPL-E | 82.2 | 82.7 | 77.7 | 79.3 | 74.6 | 83.8 |
| Aider-Polyglot | 55.1 | 45.3 | 44.0 | 59.6 | 24.4 | 35.6 |
| Alignment | ||||||
| IFEval | 82.3 | 83.9 | 84.3 | 83.2 | 83.7 | 84.7 |
| Arena-Hard v2* | 45.6 | 61.9 | 58.3 | 52.0 | 24.8 | 69.0 |
| Creative Writing v3 | 81.6 | 84.9 | 84.6 | 80.4 | 68.1 | 86.0 |
| WritingBench | 74.5 | 75.5 | 80.5 | 77.0 | 72.2 | 85.5 |
| Agent | ||||||
| BFCL-v3 | 64.7 | 66.5 | 66.1 | 68.0 | 58.6 | 65.1 |
| TAU1-Retail | 49.6 | 60.3# | 65.2 | 65.2 | 38.3 | 59.1 |
| TAU1-Airline | 32.0 | 42.8# | 48.0 | 32.0 | 18.0 | 40.0 |
| TAU2-Retail | 71.1 | 66.7# | 64.3 | 64.9 | 31.6 | 57.0 |
| TAU2-Airline | 36.0 | 42.0# | 42.5 | 36.0 | 18.0 | 38.0 |
| TAU2-Telecom | 34.0 | 29.8# | 16.9 | 24.6 | 18.4 | 12.3 |
| Multilingualism | ||||||
| MultiIF | 66.5 | 70.4 | 69.4 | 70.2 | 70.8 | 67.9 |
| MMLU-ProX | 75.8 | 76.2 | 78.3 | 73.2 | 65.1 | 72.0 |
| INCLUDE | 80.1 | 82.1 | 83.8 | 75.6 | 67.8 | 71.9 |
| PolyMATH | 32.2 | 25.5 | 41.9 | 27.0 | 23.3 | 43.1 |
