Qwen3 30B A3B
30.5B-parameter Mixture-of-Experts chat model with 3.3B activated parameters optimized for conversational AI and reasoning tasks across 119 languages.
About model
Qwen3-30B-A3B is a large language model offering advanced reasoning, instruction-following, and multilingual support, with seamless switching between thinking and non-thinking modes for optimal performance in various scenarios, including mathematics, coding, and creative writing.
To run this model you first need to deploy it on a Dedicated Endpoint.
Model card
Architecture Overview:
• Mixture-of-Experts with 48 layers, 32 query heads, 4 key-value heads
• 128 expert networks with 8 activated per token for efficient inference
• 128K context window with sparse activation patterns
• Expert routing system with learned gating functions
Training Methodology:
• Combined next-token prediction with expert specialization training
• Different experts develop specialized capabilities in math, coding, science, and creative writing
• Expert balancing techniques to prevent expert collapse
• Reinforcement learning optimization for both expert utilization and response quality
Performance Characteristics:
• Superior parameter efficiency compared to dense alternatives
• Achieves performance comparable to much larger models
• Faster inference speeds with lower memory requirements
• Dynamic computation allocation based on input complexity
Prompting
Conversation Format:
• Advanced system/user/assistant format with dynamic expert activation
• Supports complex multi-turn dialogues with reasoning chains
• Efficient inference through mixture-of-experts architecture
• Strong performance on coding, mathematics, and creative tasks
Expert Utilization:
• Different experts activated based on input content and task requirements
• Seamless switching between mathematical, coding, and linguistic experts
• Contextual understanding with efficient resource allocation
• Maintains conversation quality while optimizing computational efficiency
Optimization Strategies:
• Leverages specialized experts for domain-specific tasks
• Benefits from explicit task specification in prompts
• Responds well to structured reasoning requests
• Optimized for both creative and analytical applications
Applications & use cases
High-Performance Applications:
• Enterprise conversational AI requiring efficient large-scale deployment
• Advanced STEM education and tutoring with specialized knowledge domains
• Sophisticated coding assistance and development tools
• Creative writing and content generation for professional applications
Technical Solutions:
• Multilingual customer support with cultural context awareness
• Research and analysis assistance across multiple disciplines
• Complex reasoning tasks requiring expert-level knowledge
• Applications demanding premium conversation quality with computational efficiency
Specialized Domains:
• Mathematical modeling and scientific computation
• Code generation, review, and debugging assistance
• Legal document analysis and regulatory compliance
• Financial modeling and investment analysis tools
- TypeChat
- Main use casesChatSmall & FastMedium General Purpose
- Fine tuningSupported
- DeploymentOn-Demand DedicatedMonthly Reserved
- Parameters30.5B
- Activated parameters3.3B
- Context length128K
- Input modalitiesText
- Output modalitiesText
- ReleasedApril 26, 2025
- External link
- CategoryChat