Qwen: Qwen3 30B A3B Instruct 2507Model24/100 via “multilingual instruction comprehension and response generation”
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...
Unique: Trained on balanced multilingual instruction-following datasets with explicit optimization for non-English languages, particularly Chinese. Uses shared expert routing across languages rather than language-specific expert branches, enabling efficient cross-lingual knowledge transfer while maintaining per-language instruction semantics.
vs others: More balanced multilingual performance than GPT-4 or Claude (which prioritize English) while maintaining instruction-following quality comparable to English-optimized models; more cost-effective than deploying separate language-specific models.