
Discover the powerful capabilities that make Qwen3 stand out in the world of large language models.
Advanced Pre-training
Trained on 36 trillion tokens covering 119 languages and dialects, with expanded knowledge from web and PDF-like documents.
Four-Stage Training
Developed through long chain-of-thought cold start, reasoning-based RL, thinking mode fusion, and general RL to create a versatile AI system.
Robust Model Family
Eight models ranging from 0.6B to 235B parameters, including two efficient MoE models that reduce both training and inference costs.
Extended Context Length
Up to 128K token context length for complex document processing and analysis with no blind spots.
Benchmark Excellence
Superior performance in tasks like Arena-Hard, LiveBench, LiveCodeBench, GPQA-Diamond, and MMLU-Pro.
AI-Ready Deployment
Pre-configured for easy deployment with frameworks like SGLang, vLLM, and compatible with OpenAI-like endpoints.
数据统计
数据评估
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