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What is Qwen3-Coder-Next?

Qwen3-Coder-Next is an open-weight language model designed specifically for coding agents and local development, excelling in complex coding reasoning, proficient tool utilization, and effectively managing long-term programming tasks with exceptional efficiency through a mixture-of-experts framework that balances strong capabilities with a resource-conscious design. This model significantly boosts the coding abilities of software developers, AI system designers, and automated coding systems, enabling them to create, troubleshoot, and understand code with a deep contextual insight while skillfully recovering from execution errors, making it particularly suitable for autonomous coding agents and development-focused applications. Additionally, Qwen3-Coder-Next offers remarkable performance comparable to models with larger parameters but operates with a reduced number of active parameters, making it a cost-effective solution for tackling complex and dynamic programming challenges in both research and production environments. Ultimately, this innovative model is designed to enhance the efficiency and effectiveness of the development process, paving the way for more agile and responsive software creation. Its ability to streamline workflows further underscores its potential to transform how programming tasks are approached and executed.

What is Qwen Code?

Qwen3-Coder is a sophisticated coding model available in multiple sizes, with its standout 480B-parameter Mixture-of-Experts variant (featuring 35B active parameters) capable of handling 256K-token contexts that can be expanded to 1M, showcasing superior performance in Agentic Coding, Browser-Use, and Tool-Use tasks, effectively competing with Claude Sonnet 4. The model undergoes a pre-training phase that utilizes a staggering 7.5 trillion tokens, of which 70% consist of code, alongside synthetic data improved from Qwen2.5-Coder, thereby boosting its coding proficiency and overall functionality. Its post-training phase benefits from extensive execution-driven reinforcement learning across 20,000 parallel environments, allowing it to tackle complex multi-turn software engineering tasks like SWE-Bench Verified without requiring test-time scaling. Furthermore, the open-source Qwen Code CLI, adapted from Gemini Code, enables the implementation of Qwen3-Coder in agentic workflows through customized prompts and function calling protocols, ensuring seamless integration with platforms like Node.js and OpenAI SDKs. This blend of powerful features and versatile accessibility makes Qwen3-Coder an invaluable asset for developers aiming to elevate their coding endeavors and streamline their workflows effectively. As a result, it serves as a pivotal resource in the rapidly evolving landscape of programming tools.

Media

Media

Integrations Supported

Alibaba AI Coding Plan
Claude Fable 5
Claude Fable 5.1
Claude Fable 5.5
Claude Mythos 5
Claude Mythos 5.1
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.8
Claude Opus 5.5
Melaya
Node.js
OpenAI
OpenSpec
PrintHaus
Qwen2.5
Qwen3.8-2.4T-A95B
Step 5 Preview
SuperBased

API Availability

Has API

API Availability

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Free
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac

Supported Platforms

Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai/blog

Company Facts

Organization Name

Qwen

Date Founded

2023

Company Location

China

Company Website

github.com/QwenLM/qwen-code

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

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