Qwen3-Next-80B-A3B-Thinking

Architecture Overview:
• 48 layers with 2048 hidden dimension and hybrid layout pattern
• 512 total experts with 10 activated and 1 shared expert per MoE layer
• Multi-token prediction mechanism for faster analytical processing

Thinking Mode Optimization:
• Supports only thinking mode with automatic tag inclusion
• Specialized post-training for complex reasoning chains on 15T tokens
• May generate longer thinking content for comprehensive analysis

Performance Characteristics:
• 262K native context length, extensible to 1M tokens with YaRN scaling
• More than 10x higher throughput on contexts over 32K tokens
• SGLang and vLLM deployment support with Multi-Token Prediction

‍

Research & Analysis:
• Scientific research and hypothesis generation with detailed reasoning
• Complex data analysis and pattern recognition
• Academic writing and literature review with analytical depth

Problem Solving:
• Engineering design challenges requiring multi-step analysis
• Strategic business planning and decision-making support
• Mathematical problem solving and proof generation

Professional Applications:
• Legal case analysis and argument construction
• Medical diagnosis assistance with reasoning transparency
• Financial modeling and risk assessment with detailed rationale

‍