Qwen3-Coder: Redefining AI Programming with Hybrid Thinking Mode
Alibaba's latest code generation AI model supporting 119 languages, flexibly switching from deep reasoning to fast response.
Industry-leading code generation, repair, and Agent capabilities.
💡 Complete model series from 0.6B to 235B parameters
See What Qwen3-Coder Can Do
Watch real application demos to see how Qwen3-Coder helps developers build amazing applications.
加载视频中...
This demo showcases real application cases built with Qwen3-Coder, experience the power of AI programming.

What is Qwen3-Coder
Qwen3-Coder is the latest code generation AI model released by Alibaba's Qwen team in April 2025, featuring innovative hybrid thinking mode design.
- Hybrid Thinking ArchitectureUnique switching between thinking and non-thinking modes, flexibly balancing deep reasoning and fast response.
- Multi-language SupportSupports 119 programming languages and dialects, covering mainstream development scenarios globally.
- Complete Model SeriesFrom 0.6B lightweight to 235B flagship, meeting different performance and resource requirements.
Revolutionary Hybrid Thinking Mode
Intelligently selects thinking strategies based on task complexity, finding the perfect balance between quality and efficiency.



Core Advantages of Qwen3-Coder
AI programming assistant tailored for modern software development.
Multi-Model Specifications
0.6B, 1.7B, 4B, 8B, 14B, 32B dense models, and 30B, 235B MoE models.
Open Source License
Apache 2.0 license supporting commercial use and secondary development.
Excellent Performance
Competitive performance with top-tier models in code, math, and general capability evaluations.
Efficient Training
Trained on 36 trillion tokens, twice the training data of Qwen2.5.
Native Multi-language
Supports 119 languages and dialects, truly global AI programming assistant.
Agent Ready
Built-in MCP protocol support for easy construction of intelligent agents and automated workflows.
Impressive Performance Metrics
Demonstrates excellent performance in various benchmark tests.
Language Support
119+
Programming Languages
Training Data
36T
Tokens
Model Parameters
235B
Maximum Scale
What Developers Say About Qwen3-Coder
Hear genuine feedback from developers and teams using Qwen3-Coder.
Zhang Zhiming
Senior Software Engineer
The hybrid thinking mode is amazing! Deep analysis for complex algorithms, fast response for simple code. Development efficiency improved by 300%.
Lisa Chen
AI Technical Director
MCP support gives our Agent development wings. Qwen3-Coder's code quality and reasoning capabilities exceed expectations.
Tanaka Taro
Independent Developer
From Python to Rust, frontend to backend, Qwen3-Coder's support for 119 languages lets me focus on creative implementation.
Maria Rodriguez
Startup CTO
Apache 2.0 license allows us to confidently integrate Qwen3-Coder into commercial products. Performance and open source combined!
Frequently Asked Questions About Qwen3-Coder
For more technical details, visit the official documentation or contact technical support.
What distinguishes Qwen3-Coder from other code models?
Qwen3-Coder's core innovation is the hybrid thinking mode, which can intelligently adjust reasoning depth based on task complexity. It also supports 119 languages and has enhanced Agent capabilities with MCP protocol support.
How to choose the right model specification?
For lightweight applications choose 0.6B-4B models; for medium complexity choose 8B-14B; for high performance needs choose 32B; for enterprise applications recommend 30B-235B MoE models.
How does the hybrid thinking mode work?
The model automatically recognizes task complexity: simple tasks use fast response mode for millisecond-level responses; complex tasks switch to deep thinking mode for step-by-step analysis and reasoning.
Does it support local deployment?
Fully supported! Apache 2.0 license allows free deployment and commercial use. Complete model weights and deployment documentation provided.
What features does MCP protocol support include?
Supports seamless integration with external tools, APIs, and databases, enabling construction of intelligent agent workflows and automated code review, deployment, and monitoring.
How accurate is the code generation?
Excellent performance in various code benchmarks, with generated code achieving industry-leading levels in syntax correctness, logical reasonableness, and performance optimization.
Start Your AI Programming Journey
Experience the powerful capabilities of Qwen3-Coder and redefine your development efficiency.