Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.
| Date | Stars |
|---|---|
| 2026-07-31 | 16753 |
| 2026-08-01 | 16753 |
| 2026-08-03 | 16762 |
| 2026-08-06 | 16762 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<a name="readme-top"></a>
<p align="center">
<img src="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-Coder/qwen3_coder.png" width="400"/>
</p>
<p align="center">
<img src="https://qianwen-res.oss-accelerate-overseas.aliyuncs.com/Qwen3-Coder-Next/swebench_pro.png" width="800"/>
</p>
<p align="center">
💜 <a href="https://chat.qwen.ai/"><b>Qwen Chat</b></a>   |   🤗 <a href="https://huggingface.co/collections/Qwen/qwen3-coder-687fc861e53c939e52d52d10">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/organization/qwen">ModelScope</a>   |    📑 <a href="https://qwenlm.github.io/blog/qwen3-coder-next/">Blog</a>    |   📖 <a href="https://qwen.readthedocs.io/">Documentation</a>
<br>
🌍 <a href="https://huggingface.co/spaces/Qwen/Qwen3-Coder-WebDev">WebDev</a>   |   💬 <a href="https://github.com/QwenLM/Qwen/blob/main/assets/wechat.png">WeChat (微信)</a>   |   🫨 <a href="https://discord.gg/CV4E9rpNSD"> Discord</a>   |    📄 <a href="https://github.com/QwenLM/Qwen3-Coder/blob/main/qwen3_coder_next_tech_report.pdf">Arxiv</a>   |    👽 <a href="https://github.com/QwenLM/qwen-code">Qwen Code</a>
</p>
Visit our Hugging Face or ModelScope organization (click links above), search checkpoints with names starting with `Qwen3-Coder-`, and you will find all you need! Enjoy!
---
## Table of Contents
- [Introduction](#introduction)
- [Key Features](#key-features)
- [Basic Information](#basic-information)
- [Quick Start](#quick-start)
- [👉🏻 Chat with Qwen3-Coder](#-chat-with-qwen3-coder)
- [Fill in the middle with Qwen3-Coder](#fill-in-the-middle-with-qwen3-coder)
- [Use Cases](#use-cases)
- [Example: Releasing a Website](#example-releasing-a-website)
- [Example: Desktop Tidy](#example-desktop-tidy)
- [Example: Zombies vs. Plants](#example-zombies-vs-plants)
- [Example: Sound ASCII Art](#example-sound-ascii-art)
- [Example: Vibe Checking](#example-vibe-checking)
- [Example: Parkour Game](#example-parkour-game)
- [Star History](#star-history)
- [Citation](#citation)
- [Contact Us](#contact-us)
---
# Qwen3-Coder-Next: Pushing Small Hybrid Models on Agentic Coding
## Introduction
We are announcing Qwen3-Coder, our most agentic code model to date. **Qwen3-Coder** is available in multiple sizes, **Qwen3-Coder-480B-A35B-Instruct**, **Qwen3-Coder-30B-A3B-Instruct**, **Qwen3-Coder-Next**, offering exceptional performance in both coding and agentic tasks.
**Qwen3-Coder-Next**, an open-weight language model designed specifically for coding agents and local development. Built on top of **Qwen3-Next-80B-A3B-Base**, which adopts a novel architecture with hybrid attention and MoE, Qwen3-Coder-Next has been agentically trained at scale on large-scale executable task synthesis, environment interaction, and reinforcement learning, obtaining strong coding and agentic capabilities with significantly lower inference costs.
### Key Features
💻 **Efficiency-Performance Tradeoff**: among open models on **Agentic Coding**, **Agentic Browser-Use**, and other foundational coding tasks, achieving results comparable to Claude Sonnet.
🛠 **Scaling Agentic Coding**: supporting most platforms such as **Qwen Code**, **CLINE**, **Claude Code**, featuring a specially designed function call format;
📚 **Long-context Capabilities**: with native support for **256K** tokens, extendable up to **1M** tokens using Yarn, optimized for repository-scale understanding.
---
## Basic Information
1. ✨ Supporting long context understanding and generation with the context length of 256K tokens;
2. ✨ Supporting 358 coding languages;
<details>
<summary>Click to view all supported languages</summary>
```
['ABAP', 'ActionScript', 'Ada', 'Agda', 'Alloy', 'ApacheConf', 'AppleScript', 'Arc', 'Arduino', 'AsciiDoc', 'AspectJ', 'Assembly', 'Augeas', 'AutoHotkey', 'AutoIt', 'AwExcerpt of 20,851 characters
Read on GitHubzeyu cui · DAMO Institute, Alibaba Group · China
97
Binyuan Hui · Formerly @ Qwen · Singapore
96
87
Junyang Lin · China
10
9
8
7
4
4
3
Ikko Eltociear Ashimine · Japan
2
Fangyu Lei · China
2
2
Lalit Kumar Singh · India
1
Xiaochuan Li · United States
1
Ty Dunn · Pause · United States
1
DBA CODES · India
1
Nishant Rana · India
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:c3e513002aaf5191, llm:Repository description: 'Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.' Language: Python. No topics provided.
matched fp:c3e513002aaf5191, llm:Repository description: 'Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.' Language: Python. No topics provided.
matched fp:c3e513002aaf5191, llm:Repository description: 'Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.' Language: Python. No topics provided.