Qwen3 Coder

Open Source

Product Features of Qwen3 Coder

Overview

Qwen3 Coder is an advanced, agentic code model developed by QwenLM, designed to revolutionize code generation and software development. It leverages a powerful Mixture-of-Experts (MoE) architecture, offering exceptional performance in coding, agentic browser-use, and agentic tool-use tasks. Qwen3 Coder aims to integrate seamlessly into various developer workflows, providing state-of-the-art AI assistance for complex coding challenges.

Main Purpose and Target User Group

• Main Purpose: To provide highly agentic and intelligent code generation, refactoring, and problem-solving capabilities, significantly enhancing developer productivity and automating complex software engineering tasks.
• Target User Group: Software developers, engineers, AI researchers, and teams involved in large-scale software development, particularly those working on complex projects requiring advanced code intelligence, multi-turn interactions, and tool integration.

Function Details and Operations

• Agentic Coding Capabilities:
  • Qwen3-Coder-480B-A35B-Instruct: The most powerful variant, a 480B-parameter MoE model with 35B active parameters.
  • Context Length: Natively supports 256K tokens, extendable up to 1M tokens with extrapolation methods (YaRN), optimized for repository-scale and dynamic data (e.g., Pull Requests).
  • State-of-the-Art Performance: Achieves new state-of-the-art results among open models on Agentic Coding, Agentic Browser-Use, and Agentic Tool-Use, comparable to Claude Sonnet 4.
• Pre-Training Advancements:
  • Scaling Tokens: Trained on 7.5T tokens with a 70% code ratio, excelling in coding while preserving general and math abilities.
  • Scaling Synthetic Data: Leverages Qwen2.5-Coder for cleaning and rewriting noisy data, significantly improving overall data quality.
• Post-Training Enhancements:
  • Scaling Code RL: Utilizes execution-driven large-scale reinforcement learning on diverse real-world coding tasks, significantly boosting code execution success rates.
  • Scaling Long-Horizon RL (Agent RL): Employs multi-turn interaction with environments for real-world software engineering tasks (e.g., SWE-Bench), involving planning, tool use, feedback, and decision-making. Supported by a scalable system capable of running 20,000 independent environments in parallel.
• Command-Line Tools and Integrations:
  • Qwen Code: An open-sourced command-line interface (CLI) tool for agentic coding, forked from Gemini Code, with customized prompts and function calling protocols.
    • Installation: Via npm (npm i -g @qwen-code/qwen-code) or from source.
    • Configuration: Supports OpenAI SDK compatibility with environment variables (OPENAI_API_KEY, OPENAI_BASE_URL, OPENAI_MODEL).
  • Claude Code Integration: Seamlessly integrates with Claude Code, allowing users to leverage Qwen3 Coder through the Claude Code environment.
    • API Key: Requires an API key from Alibaba Cloud Model Studio.
    • Proxy API: Supports ANTHROPIC_BASE_URL and ANTHROPIC_AUTH_TOKEN for proxy access.
    • Router Customization: Utilizes claude-code-router and claude-code-config npm packages for flexible backend model configuration.
  • Cline Integration: Configurable within Cline for AI assistance, using OpenAI Compatible API settings with a custom base URL and model name (qwen3-coder-plus).
• API Access: Directly accessible via Alibaba Cloud Model Studio API, with Python examples provided for integration using the OpenAI client library.

User Benefits

• Enhanced Productivity: Automates and accelerates complex coding tasks, freeing up developers to focus on higher-level design and innovation.
• Improved Code Quality: Leverages advanced training and reinforcement learning to generate more accurate, robust, and executable code.
• Agentic Problem Solving: Capable of multi-turn interactions, planning, and tool use, enabling it to tackle real-world software engineering challenges.
• Versatile Integration: Seamlessly integrates with popular developer tools and environments (Qwen Code, Claude Code, Cline), ensuring a smooth workflow.
• Scalability: Supports large context windows, making it suitable for repository-scale codebases and complex projects.
• State-of-the-Art Performance: Provides leading performance in agentic coding benchmarks, ensuring cutting-edge AI assistance.

Compatibility and Integration

• Operating Systems: Compatible with environments supporting Node.js (for Qwen Code and Claude Code CLI tools).
• Development Environments: Integrates with various IDEs and development workflows through its CLI tools and API.
• APIs: Offers a direct API for programmatic access, compatible with OpenAI client libraries.
• Cloud Platforms: Hosted on Alibaba Cloud Model Studio, providing robust infrastructure for its operation.

Customer Feedback and Case Studies

• Use Cases Demonstrated:
  • Physics-Based Chimney Demolition Simulation with Controlled Explosion
  • Qwen with Cline integration
  • Qwen Chat Web Development
  • WPM Testing with Famous Quotes
  • Bouncing Ball in Rotation Hypercube
  • Solar System Simulation
  • DUET Game
• Performance Metrics: Achieves state-of-the-art performance among open-source models on SWE-Bench Verified without test-time scaling.

Access and Activation Method

• Model Access: Available through Alibaba Cloud Model Studio.
• CLI Tools:
  • Qwen Code: Installable via npm (npm i -g @qwen-code/qwen-code) or source.
  • Claude Code: Installable via npm (npm install -g @anthropic-ai/claude-code), with configuration options for Qwen3 Coder.
• API Key: Obtainable from Alibaba Cloud Model Studio platform for API and tool integrations.
• Configuration: Requires setting environment variables or .env files for API keys and base URLs when using CLI tools or direct API calls.

What is Qwen3 Coder?

Qwen3 Coder is QwenLM's most agentic code model to date, designed for advanced AI Code Generation. It is available in multiple sizes, with the most powerful variant being Qwen3-Coder-480B-A35B-Instruct, a 480B-parameter Mixture-of-Experts model. It offers exceptional performance in coding and agentic tasks, setting new state-of-the-art results among open models.

How does Qwen3 Coder achieve its high performance in AI Code Generation?

Qwen3 Coder's superior performance is attributed to several key advancements:

• Scaling Tokens:

  Trained on 7.5T tokens with a 70% code ratio, excelling in coding while preserving general and math abilities.

• Scaling Context:

  Natively supports 256K context and can be extended up to 1M with YaRN, optimized for repo-scale and dynamic data.

• Scaling Synthetic Data:

  Leveraged Qwen2.5-Coder to clean and rewrite noisy data, significantly improving overall data quality.

• Scaling Code RL:

  Utilizes execution-driven large-scale reinforcement learning on a broader set of real-world coding tasks.

• Scaling Long-Horizon RL:

  Incorporates Agent RL to encourage the model to solve real-world tasks through multi-turn interactions using tools, supported by a scalable system capable of running 20,000 independent environments in parallel.

What is Qwen Code and how can I use it with Qwen3 Coder?

Qwen Code is a research-purpose command-line interface (CLI) tool adapted from Gemini CLI, with enhanced parser and tool support specifically for Qwen3 Coder models. You can install it via npm or from the source. After installation, configure your OpenAI API key, base URL, and model (e.g., qwen3-coder-plus) as environment variables or in a .env file, then simply type qwen! to start coding.

Can I use Qwen3 Coder with Claude Code?

Yes, you can use Qwen3 Coder with Claude Code. You will need to request an API key from the Alibaba Cloud Model Studio platform and install Claude Code. There are two options for integration:

• Claude Code proxy API:

  Export ANTHROPIC_BASE_URL and ANTHROPIC_AUTH_TOKEN to use Qwen3 Coder through a proxy.

• claude-code-config npm package:

  Install @musistudio/claude-code-router and @dashscope-js/claude-code-config, then run ccr-dashscope to configure the router for DashScope support.

How can I access the Qwen3 Coder API directly?

You can directly access the API of Qwen3 Coder through Alibaba Cloud Model Studio. An example Python script using the OpenAI library is provided, demonstrating how to create a client with your DASHSCOPE_API_KEY and the appropriate base_url (international or mainland China), and then send requests to the qwen3-coder-plus model.

What are the future plans for Qwen3 Coder?

The QwenLM team is actively working to improve the performance of their Coding Agent, aiming for it to handle more complex and tedious software engineering tasks. More model sizes of Qwen3 Coder are planned to offer strong performance with reduced deployment costs. Additionally, they are exploring the exciting direction of self-improvement for the Coding Agent.

Qwen3 Coder Login

Qwen3 Coder is a model, not a platform with a direct login. Access to the model is typically through API keys obtained from platforms like Alibaba Cloud Model Studio. For related services or platforms, please refer to their respective login pages.

Qwen3 Coder Sign up

To use Qwen3 Coder via its API, you would typically sign up for an account on the Alibaba Cloud Model Studio platform or a similar service that hosts the model. The sign-up process would be handled by that platform.