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Qwen3-Coder
Coding
Freemium

Qwen3-Coder

Advanced code-specialized LLM by Alibaba with Hybrid Thinking, 256K context, and support for 119 languages. Optimized for autonomous coding agents and deep repository reasoning.

Rating
0
Reviews
0
Upvotes
3 months ago
Listed
Coding
Open Source
Large Language Model
AI Agent
Software Development
Code Generation
Mixture of Experts
Deep Learning
Tool information
Provider
Alibaba Cloud / Qwen Team
Platforms
Web
API
Windows
macOS
Linux
Languages
English
Chinese
Python
Java
C++
JavaScript
TypeScript
Go
Rust
PHP
Swift
Kotlin
API Available
Yes
Added to directory
3 months ago
Last updated
about 1 month ago
Rating
Not available
Pricing
Freemium

About Qwen3-Coder

What the tool does and who it's for

Qwen3-Coder is a specialized large language model series developed by Alibaba's Qwen team, optimized for advanced software development tasks. Released in mid-2025, it features a unique Hybrid Thinking Architecture that intelligently switches between a Deep Thinking Mode for complex logic and a Fast Response Mode for routine code completion. The flagship variant is a 480B parameter Mixture-of-Experts (MoE) model trained on over 7.5 trillion tokens, with code comprising 70% of its training data. It supports 119 programming languages and natively handles context windows up to 256K tokens (extensible to 1M). Built for agentic workflows, it includes native support for the Model Context Protocol (MCP) and the Fill-In-the-Middle (FIM) task, making it a powerful engine for AI coding assistants like Claude Code, Cline, and Cursor.

Key capabilities

Hybrid Thinking Architecture: Switches between deep reasoning and millisecond-level response based on task complexity.
119 Language Support: Covers a vast range of programming languages and dialects for global development.
MoE Architecture: Flagship 480B model uses 35B active parameters per token for high efficiency.
Massive Context Window: Supports 256K tokens natively, extendable to 1M tokens for repository-scale analysis.
Agentic Training: Specifically trained for tool use, environment interaction, and multi-turn coding workflows.
Model Context Protocol (MCP): Built-in support for seamless integration with external tools and databases.
Fill-In-The-Middle (FIM): Native capability for real-time code insertion and completion tasks.
Open Weights: Available under Apache 2.0 license for local deployment and commercial use.

Pricing

Freemium — plans below

Open Source Edition

Free

  • Apache 2.0 License
  • Local deployment via Hugging Face/ModelScope
  • Full access to weights (0.6B to 480B)
  • Commercial use allowed

Model Studio Pay-As-You-Go

Most popular

From $0.22/1M tokens

  • No monthly commitment
  • OpenAI & Anthropic compatible API
  • High-concurrency support
  • Managed infrastructure

Coding Plan Pro

$50/month

  • Up to 90,000 requests per month
  • Access to qwen3-coder-plus & next
  • Optimized for tools like Cursor/Cline
  • Sliding window quota reset

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