CodeQwen

CodeQwen

Alibaba
Qwen 4

Qwen 4

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

Qwen 4 is Alibaba’s next-generation Qwen foundation model, announced on September 22, 2026, and currently in training. It will follow the Qwen3.8 generation as part of Alibaba’s broader roadmap for increasingly capable foundation and agentic AI models. Alibaba has not yet published Qwen 4’s parameter count, architecture, benchmark results, context window, pricing, release date, or availability details. The announcement places Qwen 4 within a research strategy focused on large-scale model training, agentic reinforcement learning, multimodal intelligence, and recursive self-improvement. Alibaba separately said that later Qwen 4.5 and Qwen 5 models are expected to scale into the 5-to-10-trillion-parameter range, but that figure was not attributed specifically to Qwen 4. Because Qwen 4 has not yet been released, detailed performance comparisons and production capabilities remain unconfirmed.

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 developers, researchers, enterprises, agent builders, and organizations following Alibaba’s next generation of foundation models, although its final production use cases cannot yet be determined because the model remains in training

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

No images available

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
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

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Qwen3.8-27B

Qwen3.8-27B

Alibaba
Qwen-7B

Qwen-7B

Alibaba
Qwen2

Qwen2

Alibaba
Qwen2.5-Max

Qwen2.5-Max

Alibaba
Qwen3.6

Qwen3.6

Alibaba
Qwen2

Qwen2

Alibaba
Qwen3.8-27B

Qwen3.8-27B

Alibaba
Qwen3.8-Max

Qwen3.8-Max

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Ollama
Python
Qwen Studio
Alibaba Cloud Model Studio
Cline
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
Happy Shrimp 1.0
Hermes Agent
Model Context Protocol (MCP)
OpenClaw
PyTorch
Qwen Code
QwenWork

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Ollama
Python
Qwen Studio
Alibaba Cloud Model Studio
Cline
Code Llama
Codeforces
Conda
DeepSeek Coder
GPT-3.5
Happy Shrimp 1.0
Hermes Agent
Model Context Protocol (MCP)
OpenClaw
PyTorch
Qwen Code
QwenWork
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
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Claim Qwen 4 and update features and information