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

Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts model and an early preview of the architecture planned for Qwen4. It systematically upgrades attention, residual connections, embeddings, and optimization to improve capability, computational efficiency, model capacity, and training stability. Its hybrid architecture combines Gated DeltaNet, which efficiently compresses historical information, with Qwen Sparse Attention, which selects important context at the micro-block level to reduce attention and indexing costs on long sequences. Gated Residual widens the residual stream into four branches and dynamically controls information flow across layers, while N-gram Embedding adds large-scale local-pattern memory with very little extra per-token computation and can be offloaded to host memory. The model uses a 125B-parameter main network plus 51B N-gram embedding parameters, while activating only 6B parameters per token.

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

Developers, researchers, and AI teams seeking to run or study an efficient multimodal open-weight model with long-context reasoning, coding, multilingual, and agentic capabilities

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

$2 per 1M (input)
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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Review this Software

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/blog

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Qwen-7B

Qwen-7B

Alibaba
Qwen2.5-Max

Qwen2.5-Max

Alibaba
GPT-5.6 Sol

GPT-5.6 Sol

OpenAI
Qwen2

Qwen2

Alibaba
Qwen3.5

Qwen3.5

Alibaba
Qwen3.8-27B

Qwen3.8-27B

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Ollama
Python
Qwen Studio
AtCoder
Cherry Studio
Cline
Code Llama
GPT-4
Happy Shrimp 1.0
Hermes Agent
LangChain
LeetCode
Model Context Protocol (MCP)
Novita AI
OpenClaw
Qwen
QwenWork

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Ollama
Python
Qwen Studio
AtCoder
Cherry Studio
Cline
Code Llama
GPT-4
Happy Shrimp 1.0
Hermes Agent
LangChain
LeetCode
Model Context Protocol (MCP)
Novita AI
OpenClaw
Qwen
QwenWork
Claim CodeQwen and update features and information
Claim CodeQwen and update features and information
Claim Qwen3.8-Flash-Next and update features and information
Claim Qwen3.8-Flash-Next and update features and information