The Qwen3 Technical Report presents the latest version of the Qwen model family, featuring dense and Mixture-of-Expert (MoE) architectures with parameter scales from 0.6 to 235 billion. A key innovation is the integration of thinking mode for complex reasoning and non-thinking mode for rapid responses into a unified framework, eliminating the need to switch between different models.
- Qwen3 introduces a thinking budget mechanism that allows users to allocate computational resources adaptively during inference to balance latency and performance.
- The model series achieves state-of-the-art results across diverse benchmarks, including code generation, mathematical reasoning, and agent tasks.
- Multilingual support expands from 29 to 119 languages and dialects compared to its predecessor Qwen2.5.
- All Qwen3 models are publicly accessible under the Apache 2.0 license to facilitate reproducibility and community-driven research.
This unified approach enables dynamic mode switching based on user queries, while the expanded language support enhances global accessibility through improved cross-lingual understanding.