Qwen3-30B-A3B-Instruct-2507 is a 30.5B-parameter mixture-of-experts language model from Qwen, with 3.3B active parameters per inference. It operates in non-thinking mode and is designed for high-quality instruction following, multilingual understanding, and...
Tested on 7 benchmarks with 55.3% average. Top scores: Chatbot Arena Elo — Overall (1383.3%), OpenCompass — IFEval (83.9%), OpenCompass — MMLU-Pro (73.9%).
OpenCompass Live Code Bench v6. Fresh competitive programming problems to evaluate code generation without memorization.
OpenCompass evaluation on AIME 2025 problems. Tests mathematical reasoning on fresh competition problems.
OpenCompass MMLU-Pro evaluation. Harder knowledge test with more answer choices.
OpenCompass evaluation of GPQA Diamond. PhD-level science questions from the hardest subset.
OpenCompass evaluation of Humanitys Last Exam. Expert-level cross-discipline knowledge test.
- Typetext
- Context131K tokens (~66 books)
- ReleasedJul 2025
- LicenseOpen Source
- StatusActive
- Cost / Message~$0.000