CodeQwen

CodeQwen

Alibaba
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About

CodeQwen is the code version of Qwen, the large language model series developed by the Qwen team, Alibaba Cloud. It is a transformer-based decoder-only language model pre-trained on a large amount of data of codes. Strong code generation capabilities and competitive performance across a series of benchmarks. Supporting long context understanding and generation with the context length of 64K tokens. CodeQwen supports 92 coding languages and provides excellent performance in text-to-SQL, bug fixes, etc. You can just write several lines of code with transformers to chat with CodeQwen. Essentially, we build the tokenizer and the model from pre-trained methods, and we use the generate method to perform chatting with the help of the chat template provided by the tokenizer. We apply the ChatML template for chat models following our previous practice. The model completes the code snippets according to the given prompts, without any additional formatting.

About

Qwen3‑Coder is an agentic code model available in multiple sizes, led by the 480B‑parameter Mixture‑of‑Experts variant (35B active) that natively supports 256K‑token contexts (extendable to 1M) and achieves state‑of‑the‑art results comparable to Claude Sonnet 4. Pre‑training on 7.5T tokens (70 % code) and synthetic data cleaned via Qwen2.5‑Coder optimized both coding proficiency and general abilities, while post‑training employs large‑scale, execution‑driven reinforcement learning, scaling test‑case generation for diverse coding challenges, and long‑horizon RL across 20,000 parallel environments to excel on multi‑turn software‑engineering benchmarks like SWE‑Bench Verified without test‑time scaling. Alongside the model, the open source Qwen Code CLI (forked from Gemini Code) unleashes Qwen3‑Coder in agentic workflows with customized prompts, function calling protocols, and seamless integration with Node.js, OpenAI SDKs, and environment variables.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone seeking an AI tool to improve their natural language understanding operations and text generation tasks

Audience

AI researchers and software engineers wanting a solution offering an agentic coding model with large‑context support and turnkey CLI tools for real‑world, automated code generation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
github.com/QwenLM/CodeQwen1.5

Company Information

Qwen
Founded: 2023
China
qwenlm.github.io/blog/qwen3-coder/

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Qwen-7B

Qwen-7B

Alibaba
Composer 1

Composer 1

Cursor
Qwen2.5-Max

Qwen2.5-Max

Alibaba
DeepCoder

DeepCoder

Agentica Project
Qwen2

Qwen2

Alibaba
Qwen3

Qwen3

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
AtCoder
Brokk
Codeforces
Conda
DeepSeek Coder
Hugging Face
LangChain
LlamaIndex
NexaSDK
Node.js
OpenClaw
PyTorch
Python
Qwen Chat
Qwen2.5
Shiori
SiliconFlow
StarCoder
Tinfoil

Integrations

Alibaba Cloud
AtCoder
Brokk
Codeforces
Conda
DeepSeek Coder
Hugging Face
LangChain
LlamaIndex
NexaSDK
Node.js
OpenClaw
PyTorch
Python
Qwen Chat
Qwen2.5
Shiori
SiliconFlow
StarCoder
Tinfoil
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
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Claim Qwen3-Coder and update features and information