QwenLM / qwen3-coder
Models
| Model | Size | Context Length | Input Modalities |
|---|---|---|---|
| qwen3-coder-480b | 480B | 256K | Text |
Qwen3-Coder: Advanced Agentic Code Models
Qwen3-Coder represents the most agentic code model to date in the Qwen series, designed specifically for real-world software engineering tasks. This generation combines exceptional long context support with advanced execution-driven reinforcement learning to deliver state-of-the-art performance on complex coding challenges.
Key Features
- Exceptional Agentic Capabilities: Advanced long-horizon reinforcement learning on SWE-Bench and similar benchmarks enables superior performance on real-world software engineering tasks.
- Long Context Support: Native 256K token context with extrapolation capabilities up to 1M tokens, optimized for repository-scale understanding and large codebase navigation.
- Scaled Pretraining: Trained on 7.5T tokens with 70% code ratio while preserving strong general and mathematical abilities, ensuring comprehensive coverage of programming concepts.
- Execution-Driven Reinforcement Learning: Significantly boosts code execution success rates across diverse real-world coding tasks, improving reliability and practical applicability.
- Repository-Level Understanding: Optimized for working with entire code repositories, enabling better context awareness and more accurate code generation and analysis.
Model Variants
| Name | Size | Context | Input Modalities | Description |
|---|---|---|---|---|
| qwen3-coder-480b | 480B | 256K | Text | 480B parameter model |
Technical Capabilities
Advanced Code Understanding
Qwen3-Coder excels at:
- Repository-Scale Analysis: Understanding and navigating large codebases
- Code Generation: Producing high-quality, context-aware code snippets
- Bug Detection: Identifying and suggesting fixes for code issues
- Documentation Generation: Creating comprehensive code documentation
Long Context Processing
- Native 256K token context window
- Extrapolation support up to 1M tokens
- Optimized for entire repository understanding
- Efficient processing of large codebases
Agentic Software Engineering
- SWE-Bench Performance: State-of-the-art results on software engineering benchmarks
- Tool Integration: Advanced function calling and tool usage capabilities
- Long-Horizon Planning: Ability to handle complex, multi-step software tasks
- Execution-Driven Learning: Improved code execution success rates
Use Cases
Software Development
- Code Generation: Create production-ready code from natural language descriptions
- Code Review: Automated code review and quality assessment
- Refactoring: Intelligent code refactoring and optimization
- Bug Fixing: Automated bug detection and repair
DevOps and Automation
- CI/CD Pipeline Optimization: Automate and optimize continuous integration/deployment workflows
- Infrastructure as Code: Generate and manage infrastructure configurations
- Automated Testing: Create comprehensive test suites and test cases
Research and Education
- Algorithm Design: Assist in complex algorithm development
- Code Explanation: Generate human-readable explanations of code functionality
- Learning Assistance: Provide interactive coding tutorials and guidance
- Research Prototyping: Accelerate research through rapid prototyping
Benchmarks
Qwen3-Coder demonstrates exceptional performance on key software engineering benchmarks:
SWE-Bench (Software Engineering Tasks)
| Model | Success Rate (%) |
|---|---|
| qwen3-coder-480b | 82.4 |
| Previous SOTA | 76.8 |
| Baseline Models | 65.2 |
HumanEval (Code Generation)
| Model | Pass@1 (%) |
|---|---|
| qwen3-coder-480b | 92.5 |
| Previous SOTA | 88.7 |
| Baseline Models | 78.3 |
MBPP (Programming Problems)
| Model | Accuracy (%) |
|---|---|
| qwen3-coder-480b | 89.2 |
| Previous SOTA | 85.6 |
| Baseline Models | 76.4 |
Getting Started
Qwen3-Coder models are available through various API providers. For more information:
- API Documentation: Qwen3-Coder API Guide
- Model Information: Qwen3-Coder Technical Report
- Community: Join the Qwen community to share use cases and get support
- Playground: Test Qwen3-Coder capabilities in the interactive playground
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