Qwen3-Coder
Qwen3-Coder is an open-source Mixture-of-Experts language model built by Alibaba for autonomous coding tasks. It’s trained on 7.5 trillion tokens, mostly code, and activates 35B parameters per task from a 480B total parameter pool. It’s designed for agent-based workflows like pull request bots, debugge…
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Developer
Alibaba Group is a global technology company developing open models and infrastructure, including the Qwen series for AI applications.
Pricing and Plans
| Plan | Price | Features |
|---|---|---|
| Free (Open Source) | Free |
|
| API (via OpenRouter or Alibaba Cloud) | $2/per 1M tokens (approx) |
|
System Requirements
Operating System
Memory (RAM)
16GB+ recommended for local CLI agent tasks
Processor
Modern CPU or GPU for local model use
Disk Space
10GB+ if downloading model locally
AI Capabilities
Code understanding and debugging
Autonomous agent task execution
Multi-step reasoning over file systems
Command line interface with natural language goals
Efficient codebase navigation and refactoring
Open API compatibility