Qwen3-Coder

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Qwen3-Coder is a Coding & Development tool that provides a code-focused large language model for various coding and agentic tasks. It supports a wide range of coding languages and offers long-context capabilities.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is Qwen3-Coder?

Qwen3-Coder is a code-focused large language model developed by the Qwen team, designed to assist with a wide array of coding and agentic tasks. It is available in multiple sizes, including Qwen3-Coder-Next, and offers exceptional performance comparable to leading models like Claude Sonnet. Key features include efficiency-performance tradeoffs, scaling agentic coding across various platforms, and robust long-context capabilities with native support for 256K tokens, extendable up to 1M tokens using Yarn. The model supports 358 coding languages and retains strong mathematical and general capabilities from its base model. It also supports fill-in-the-middle (FIM) for code insertion tasks and provides instruct models for chatting.

Best used for

Ideal for developers who need to generate code, complete code segments, and automate complex agentic coding tasks. Especially valuable for projects requiring extensive context understanding across many programming languages and for integrating AI into development workflows.

Common actions

generate code

complete code

automate coding tasks

understand code context

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Capabilities

Key features

Code generation
Agentic coding
Long-context understanding
Supports 358 languages
Fill-in-the-middle
Function calling

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the different versions of Qwen3-Coder available?

Qwen3-Coder is available in multiple sizes, including Qwen3-Coder-480B-A35B-Instruct, Qwen3-Coder-30B-A3B-Instruct, and Qwen3-Coder-Next. These models offer varying capabilities and are designed for different coding and agentic tasks, with Qwen3-Coder-Next being optimized for coding agents and local development.

How does Qwen3-Coder handle long code contexts?

Qwen3-Coder boasts strong long-context capabilities, natively supporting 256K tokens. This can be extended further up to 1M tokens using Yarn, making it highly effective for understanding and generating code within large repositories or complex projects.

Can Qwen3-Coder assist with code insertion or 'fill-in-the-middle' tasks?

Yes, Qwen3-Coder fully supports the 'fill-in-the-middle' (FIM) task, which involves inserting code segments to bridge gaps within a given code context. It follows best practices for formatting as outlined in relevant research papers to ensure efficient and accurate code completion.

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