Alibaba launches open source Qwen3 model that surpasses OpenAI o1 and DeepSeek R1

The Qwen3 models also significantly expand multilingual support, now covering 119 languages and dialects across major language families. Model training and architectureIn terms of model training, Qwen3 represents a substantial step up from its predecessor, Qwen2.5. The data sources include web crawls, PDF-like document extractions, and synthetic content generated using previous Qwen models focused on math and coding. The training improvements allow the dense base models of Qwen3 to match or exceed the performance of much larger Qwen2.5 models. Users can integrate Qwen3 models using frameworks such as SGLang and vLLM, both of which offer OpenAI-compatible endpoints.