An open-source AI agent that lives in your terminal.

🎉 News (2026-02-16): Qwen3.5-Plus is now live! Sign in via Qwen OAuth to use it directly, or get an API key from Alibaba Cloud ModelStudio to access it through the OpenAI-compatible API.

Qwen Code is an open-source AI agent for the terminal, optimized for Qwen3-Coder. It helps you understand large codebases, automate tedious work, and ship faster.

• Multi-protocol, OAuth free tier: use OpenAI / Anthropic / Gemini-compatible APIs, or sign in with Qwen OAuth for 1,000 free requests/day.
• Open-source, co-evolving: both the framework and the Qwen3-Coder model are open-source—and they ship and evolve together.
• Agentic workflow, feature-rich: rich built-in tools (Skills, SubAgents) for a full agentic workflow and a Claude Code-like experience.
• Terminal-first, IDE-friendly: built for developers who live in the command line, with optional integration for VS Code, Zed, and JetBrains IDEs.

curl -fsSL https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen.sh | bash

curl -fsSL -o %TEMP%\install-qwen.bat https://qwen-code-assets.oss-cn-hangzhou.aliyuncs.com/installation/install-qwen.bat && %TEMP%\install-qwen.bat

Note: It's recommended to restart your terminal after installation to ensure environment variables take effect.

Make sure you have Node.js 20 or later installed. Download it from nodejs.org.

npm install -g @qwen-code/qwen-code@latest

brew install qwen-code

# Start Qwen Code (interactive)
qwen

# Then, in the session:
/help
/auth

On first use, you'll be prompted to sign in. You can run /auth anytime to switch authentication methods.

Example prompts:

What does this project do?
Explain the codebase structure.
Help me refactor this function.
Generate unit tests for this module.

Qwen Code supports two authentication methods:

• Qwen OAuth (recommended & free): sign in with your qwen.ai account in a browser.
• API-KEY: use an API key to connect to any supported provider (OpenAI, Anthropic, Google GenAI, Alibaba Cloud Bailian, and other compatible endpoints).

Start qwen, then run:

/auth

Choose Qwen OAuth and complete the browser flow. Your credentials are cached locally so you usually won't need to log in again.

Note: In non-interactive or headless environments (e.g., CI, SSH, containers), you typically cannot complete the OAuth browser login flow. In these cases, please use the API-KEY authentication method.

Use this if you want more flexibility over which provider and model to use. Supports multiple protocols:

• OpenAI-compatible: Alibaba Cloud Bailian, ModelScope, OpenAI, OpenRouter, and other OpenAI-compatible providers
• Anthropic: Claude models
• Google GenAI: Gemini models

The recommended way to configure models and providers is by editing ~/.qwen/settings.json (create it if it doesn't exist). This file lets you define all available models, API keys, and default settings in one place.

Step 1: Create or edit ~/.qwen/settings.json

Here is a complete example:

{
  "modelProviders": {
    "openai": [
      {
        "id": "qwen3-coder-plus",
        "name": "qwen3-coder-plus",
        "baseUrl": "https://dashscope.aliyuncs.com/compatible-mode/v1",
        "description": "Qwen3-Coder via Dashscope",
        "envKey": "DASHSCOPE_API_KEY"
      }
    ]
  },
  "env": {
    "DASHSCOPE_API_KEY": "sk-xxxxxxxxxxxxx"
  },
  "security": {
    "auth": {
      "selectedType": "openai"
    }
  },
  "model": {
    "name": "qwen3-coder-plus"
  }
}

Step 2: Understand each field

Step 3: Start Qwen Code — your configuration takes effect automatically:

qwen

Use the /model command at any time to switch between all configured models.

{
  "modelProviders": {
    "openai": [
      {
        "id": "qwen3.5-plus",
        "name": "qwen3.5-plus (Coding Plan)",
        "baseUrl": "https://coding.dashscope.aliyuncs.com/v1",
        "description": "qwen3.5-plus with thinking enabled from Bailian Coding Plan",
        "envKey": "BAILIAN_CODING_PLAN_API_KEY",
        "generationConfig": {
          "extra_body": {
            "enable_thinking": true
          }
        }
      },
      {
        "id": "qwen3-coder-plus",
        "name": "qwen3-coder-plus (Coding Plan)",
        "baseUrl": "https://coding.dashscope.aliyuncs.com/v1",
        "description": "qwen3-coder-plus from Bailian Coding Plan",
        "envKey": "BAILIAN_CODING_PLAN_API_KEY"
      }
    ]
  },
  "env": {
    "BAILIAN_CODING_PLAN_API_KEY": "sk-xxxxxxxxxxxxx"
  },
  "security": {
    "auth": {
      "selectedType": "openai"
    }
  },
  "model": {
    "name": "qwen3-coder-plus"
  }
}

{
  "modelProviders": {
    "openai": [
      {
        "id": "gpt-4o",
        "name": "GPT-4o",
        "envKey": "OPENAI_API_KEY",
        "baseUrl": "https://api.openai.com/v1"
      }
    ],
    "anthropic": [
      {
        "id": "claude-sonnet-4-20250514",
        "name": "Claude Sonnet 4",
        "envKey": "ANTHROPIC_API_KEY"
      }
    ],
    "gemini": [
      {
        "id": "gemini-2.5-pro",
        "name": "Gemini 2.5 Pro",
        "envKey": "GEMINI_API_KEY"
      }
    ]
  },
  "env": {
    "OPENAI_API_KEY": "sk-xxxxxxxxxxxxx",
    "ANTHROPIC_API_KEY": "sk-ant-xxxxxxxxxxxxx",
    "GEMINI_API_KEY": "AIzaxxxxxxxxxxxxx"
  },
  "security": {
    "auth": {
      "selectedType": "openai"
    }
  },
  "model": {
    "name": "gpt-4o"
  }
}

{
  "modelProviders": {
    "openai": [
      {
        "id": "qwen3.5-plus",
        "name": "qwen3.5-plus (thinking)",
        "envKey": "DASHSCOPE_API_KEY",
        "baseUrl": "https://dashscope.aliyuncs.com/compatible-mode/v1",
        "generationConfig": {
          "extra_body": {
            "enable_thinking": true
          }
        }
      }
    ]
  },
  "env": {
    "DASHSCOPE_API_KEY": "sk-xxxxxxxxxxxxx"
  },
  "security": {
    "auth": {
      "selectedType": "openai"
    }
  },
  "model": {
    "name": "qwen3.5-plus"
  }
}

Tip: You can also set API keys via export in your shell or .env files, which take higher priority than settings.json → env. See the authentication guide for full details.

Security note: Never commit API keys to version control. The ~/.qwen/settings.json file is in your home directory and should stay private.

As an open-source terminal agent, you can use Qwen Code in four primary ways:

1. Interactive mode (terminal UI)
2. Headless mode (scripts, CI)
3. IDE integration (VS Code, Zed)
4. TypeScript SDK

cd your-project/
qwen

Run qwen in your project folder to launch the interactive terminal UI. Use @ to reference local files (for example @src/main.ts).

cd your-project/
qwen -p "your question"

Use -p to run Qwen Code without the interactive UI—ideal for scripts, automation, and CI/CD. Learn more: Headless mode.

Use Qwen Code inside your editor (VS Code, Zed, and JetBrains IDEs):

• Use in VS Code
• Use in Zed
• Use in JetBrains IDEs

Build on top of Qwen Code with the TypeScript SDK:

• Use the Qwen Code SDK

• /help - Display available commands
• /clear - Clear conversation history
• /compress - Compress history to save tokens
• /stats - Show current session information
• /bug - Submit a bug report
• /exit or /quit - Exit Qwen Code

• Ctrl+C - Cancel current operation
• Ctrl+D - Exit (on empty line)
• Up/Down - Navigate command history

Learn more about Commands

Tip: In YOLO mode (--yolo), vision switching happens automatically without prompts when images are detected. Learn more about Approval Mode

Qwen Code can be configured via settings.json, environment variables, and CLI flags.

The most commonly used top-level fields in settings.json:

See the Authentication section above for complete settings.json examples, and the settings reference for all available options.

Looking for a graphical interface?

• AionUi A modern GUI for command-line AI tools including Qwen Code
• Gemini CLI Desktop A cross-platform desktop/web/mobile UI for Qwen Code

If you encounter issues, check the troubleshooting guide.

To report a bug from within the CLI, run /bug and include a short title and repro steps.

• Discord: https://discord.gg/ycKBjdNd
• Dingtalk: https://qr.dingtalk.com/action/joingroup?code=v1,k1,+FX6Gf/ZDlTahTIRi8AEQhIaBlqykA0j+eBKKdhLeAE=&_dt_no_comment=1&origin=1

This project is based on Google Gemini CLI. We acknowledge and appreciate the excellent work of the Gemini CLI team. Our main contribution focuses on parser-level adaptations to better support Qwen-Coder models.