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Alibaba launches open source Qwen3 model that surpasses OpenAI o1 and DeepSeek R1
- Alibaba's Qwen team has launched a new series of open source AI models called Qwen3, surpassing OpenAI o1 and DeepSeek R1 in performance.
- Qwen3 features two "mixture-of-experts" models and six dense models, setting it apart in the AI landscape.
- The 235-billion parameter version of Qwen3 outperforms DeepSeek's R1 and approaches performance levels of Google's Gemini 2.5-Pro.
- Qwen3 offers hybrid reasoning capabilities, toggling between fast responses and more intensive reasoning steps.
- Users can access and deploy Qwen3 models across various platforms and engage in 'Thinking Mode' for complex tasks.
- Qwen3 includes MoE and dense models under the Apache 2.0 open-source license, with variations in size and architecture.
- The models offer expanded multilingual support across 119 languages and dialects, widening their global applications.
- Qwen3's training process involves a substantial increase in pretraining dataset size and training improvements over Qwen2.5.
- Deployment options for Qwen3 models are versatile, catering to different user needs and frameworks.
- Qwen3 marks a significant step towards AGI and ASI goals, with plans for further scaling and enhancements in the future.
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