Qwen3 Coder - Agentic Coding Adventure

Step into a new era of AI-powered development with Qwen3 Coder
the world’s most agentic open-source coding model.

WebDev GitHub Hugging Face

What Is Qwen3 Coder?

Qwen3 Coder is part of the Qwen3 family and represents a milestone in agentic code generation. It is optimized for tasks that go beyond simple code completion—enabling tool use, file manipulation, autonomous multi-step workflows, and repository-scale reasoning with long context windows.

Qwen3-Coder Architecture

Final Open Release of Qwen3-2507 Series

Qwen3-4B-Instruct-2507 and Qwen3-4B-Thinking-2507 Now Available!

The final open release of the Qwen3-2507 series is here, featuring Qwen3-4B-Instruct-2507 for fast, efficient instruction following and Qwen3-4B-Thinking-2507 for advanced reasoning with step-by-step outputs. Both models offer powerful capabilities, multilingual support, and 256K-token context—fully open and ready for deployment.

Qwen3-4B-Instruct-2507

Key Features

01

Massive Mixture of Experts Architecture


  • 480B parameter architecture with 35B active parameters per query.
  • High efficiency and performance on par with closed models, especially on complex coding tasks.
02

Agentic Coding & Tool Use


  • Native support for function calling, file writing, and step-by-step automation.
  • Perfect for AI agents that build and modify code over time.
  • Supports browser-like interactions, expanding usability for developer agents.
03

Long Context Handling


  • Native 256K token context window, extendable up to 1 million tokens.
  • Capable of reasoning over entire codebases, project documentation, and multi-file repositories.
04

Language Support


  • Compatible with 350+ programming languages, covering Python, JavaScript, Go, Rust, SQL, and even obscure syntaxes.
05

OpenAI Compatible API


  • Seamlessly integrates with the OpenAI SDK using compatible endpoints.
  • Available via Alibaba Cloud Model Studio, OpenRouter, DeepInfra, Fireworks, or self-hosted with weights from Hugging Face or ModelScope.

Qwen3 Coder API Key

To interact with Qwen3 Coder programmatically whether you're deploying an agent, coding assistant, or automation workflow—you’ll need a valid API key. Depending on your region and preferred platform, you can obtain this key through several providers that support OpenAI compatible endpoints.

Advanced Pre-Training

Performance Benchmarks

480B
Parameters (35B Active)
256K
Native Context Length
1M
Extended Context (YaRN)
7.5T
Training Tokens

Qwen3-Coder-30B-A3B-Instruct-FP8

Qwen3-Coder-30B-A3B-Instruct-FP8

Qwen3 Coder-30B-A3B-Instruct-FP8 is a high performance, fine tuned language model designed for advanced agentic coding tasks. It features 30.5 billion parameters (with only 3.3B activated at runtime) and supports long context understanding with native 256K token input extendable up to 1 million tokens using Yarn. This model is quantized using fine grained FP8 for maximum efficiency and reduced memory usage, making it ideal for large scale inference on modern GPUs. Read More

Qwen3 Coder Model Variants: FP8 & Standard Instruct Models with 256K Context Support

The Qwen3-Coder series offers multiple instruction-tuned models optimized for agentic coding and long-context tasks. All models in this lineup support a 256k token context window, with efficient download and deployment options via Hugging Face and ModelScope.

01

Qwen3-Coder-480B-A35B-Instruct


02

Qwen3-Coder-480B-A35B-Instruct-FP8


  • FP8-quantized version of the 480B model for efficient inference with reduced memory use.
  • Hugging Face
  • ModelScope
03

Qwen3-Coder-30B-A3B-Instruct


04

Qwen3-Coder-30B-A3B-Instruct-FP8


Each model is suitable for instruction following, multi language code generation, and long document comprehension making the Qwen3 Coder lineup ideal for building developer tools, autonomous agents, and research assistants.

How to Use Qwen3 Coder

Get started with Qwen3 Coder using your favorite development tools. Choose from three popular options:

Option 1: Qwen Code CLI

Research purpose CLI tool adapted from Gemini CLI with enhanced parser support

1

Install Node.js 20+

curl -qL https://www.npmjs.com/install.sh | sh
2

Install Qwen Code

npm i -g @qwen-code/qwen-code

Or install from source:

git clone https://github.com/QwenLM/qwen-code.git
cd qwen-code && npm install && npm install -g
3

Configure Environment

export OPENAI_API_KEY="your_api_key_here"
export OPENAI_BASE_URL="https://dashscope-intl.aliyuncs.com/compatible-mode/v1"
export OPENAI_MODEL="qwen3-coder-plus"
4

Start Coding

qwen

Now enjoy your vibe coding with Qwen-Code and Qwen!

Option 2: Claude Code Integration

Use Qwen3 Coder with Claude Code for seamless development experience

1

Install Claude Code

npm install -g @anthropic-ai/claude-code
2

Configure Proxy API (Option A)

export ANTHROPIC_BASE_URL=https://dashscope-intl.aliyuncs.com/api/v2/apps/claude-code-proxy
export ANTHROPIC_AUTH_TOKEN=your-dashscope-apikey
2B

Or Configure Router (Option B)

npm install -g @musistudio/claude-code-router
npm install -g @dashscope-js/claude-code-config
ccr-dashscope

Then start using: ccr code

Option 3: Cline Configuration

Configure Qwen3 Coder with Cline for enhanced development workflow

Configuration Steps:

  • Go to the Cline configuration settings
  • For API Provider, select 'OpenAI Compatible'
  • For the OpenAI Compatible API Key, enter the key obtained from Dashscope
  • Check 'Use custom base URL' and enter:
https://dashscope-intl.aliyuncs.com/compatible-mode/v1
  • Enter model name: qwen3 coder-plus

Qwen3 Coder - Agentic Coding Adventure

Step into a new era of AI powered development with Qwen3 Coder the world’s most agentic open source coding model.

Hugging Face GitHub Modelscope Discord

Qwen3-Coder CLI

Qwen3-Coder-30B-A3B-Instruct-FP8

Qwen3 Coder CLI is a command-line interface tool that enables fast, interactive, and scriptable access to Qwen3 Coder models directly from your terminal. Designed for developers, researchers, and AI engineers, the CLI allows you to run prompts, test code generation, perform function calling, and manage long context inputs without the need for complex server setups.
Key features include:

  • Quick Prompts: Send messages to Qwen3-Coder with multi-turn dialogue support.
  • Tool Integration: Easily define and invoke tools or functions using structured function calling syntax.
  • 256K Context Support: Handle large files or multi-file repositories with native long-context input.
  • Scripting & Automation: Integrate with shell scripts or pipelines for batch inference tasks.
  • Lightweight & Fast: Run locally or connect to remote inference servers (via APIs like vLLM or OpenAI-compatible endpoints).

Whether you're building coding assistants, testing prompt strategies, or exploring large codebases, Qwen3 Coder CLI gives you a powerful yet flexible interface to harness the full capabilities of Qwen3 models directly from your terminal.Read More

FAQ's about Qwen3 Coder

What sets Qwen3 Coder apart from other code models?

Qwen3 Coder is Alibaba Cloud's most agentic code model to date, built on a 480B-parameter Mixture-of-Experts architecture with 35B active parameters. It supports 256K token context length natively, extendable to 1 million tokens, and achieves state-of-the-art results on Agentic Coding, Tool Use, and Browser Use tasks—comparable to Claude Sonnet 4.

How was Qwen3 Coder trained?

Qwen3 Coder was trained on 7.5 trillion tokens, with a 70% code-heavy dataset. Its training leveraged:

  • Synthetic data filtering with Qwen2.5-Coder
  • Large-scale reinforcement learning (RL)
  • Long-horizon Agent RL across 20,000 parallel environments

This follows the principle of “Hard to Solve, Easy to Verify”, ensuring robust performance in real-world development scenarios.

Which tools are compatible with Qwen3 Coder?

You can use Qwen3 Coder with:

  • Qwen Code - A dedicated CLI adapted from Gemini CLI
  • Claude Code - Via DashScope’s OpenAI-compatible proxy
  • Cline With OpenAI API settings

All tools connect via the DashScope API for a consistent developer experience.

How do I get API access to Qwen3 Coder?

  1. Sign up at Alibaba Cloud’s Model Studio
  2. Request an API key via DashScope
  3. Configure your environment:

OPENAI_API_KEY=your_api_key
OPENAI_BASE_URL=https://dashscope-intl.aliyuncs.com/compatible-mode/v1
OPENAI_MODEL=qwen3-coder-plus.

What programming languages does Qwen3 Coder support?

Qwen3 Coder supports 350+ languages, including:
Python, JavaScript, TypeScript, Java, C++, Rust, Go, and more. Thanks to its diverse code dataset, it performs especially well in repository-scale tasks and complex, multi-language codebases.

What is the context length capability?

Qwen3 Coder handles:

  • 256,000 tokens natively
  • Up to 1 million tokens with YaRN extrapolation. Perfect for analyzing entire repos, large documents, and long prompt chains in agentic workflows.

How well does Qwen3 Coder perform on coding benchmarks?

Qwen3 Coder leads among open models on:

  • SWE-Bench Verified
  • Agentic Coding
  • Agentic Tool Use and Browser Use

It delivers Claude-level performance while remaining open-source and accessible to the developer community.

Can I use Qwen3 Coder for commercial projects?

Yes. Qwen3 Coder is built as an open foundation model suitable for real-world applications. However, make sure to check the license and usage terms on DashScope before deploying in commercial environments.

What makes Qwen3 Coder “agentic”?

It’s trained for long-horizon, multi-step tasks using Agent RL, enabling it to:

  • Plan and reason
  • Use tools autonomously
  • Handle feedback
  • Execute multi-turn actions like a true software agent

This makes it ideal for autonomous development agents and workflow automation.

How do I get started with Qwen Code CLI?

  1. Install Node.js v20+
  2. Run: npm i -g @qwen-code/qwen-code
  3. Set your DashScope API key and environment variables
  4. Launch the CLI withqwen

This CLI is fully optimized for Qwen3 Coder, supporting enhanced parsing, function calling, and multi-turn workflows.