Qwen3-30B-A3B-Instruct-2507

Qwen3-30B-A3B-Instruct-2507 Highlights We introduce the updated version of the **Qwen3-30B-A3B non-thinking mode**, named **Qwen3-30B-A3B-Instruct-2507**, featuring the following key enhancements: **Significant improvements** in general capabilities, including **instruction following, logical reasoning, text comprehension, mathematics, science, coding and tool usage**. **Substantial gains** in long-tail knowledge coverage across **multiple languages**. **Markedly better alignment** with user preferences in **subjective and open-ended tasks**, enabling more helpful responses and higher-quality text generation. **Enhanced capabilities** in **256K long-context understanding**. Model Overview Qwen3-30B-A3B-Instruct-2507** has the following features: Type: Causal Language Models Training Stage: Pretraining & Post-training Number of Parameters: 30.5B in total and 3.3B activated Number of Paramaters (Non-Embedding): 29.9B Number of Layers: 48 Number of Attention Heads (GQA): 32 for Q and 4 for KV Number of Experts: 128 Number of Activated Experts: 8 Context Length: **262,144 natively**. NOTE: This model supports only non-thinking mode and does not generate `` `` blocks in its output. Meanwhile, specifying `enable_thinking=False` is no longer required.** For more details, including benchmark evaluation, hardware requirements, and inference performance, please refer to our blog, GitHub, and Documentation. 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.