CodeQwen

CodeQwen

Alibaba
Codestral

Codestral

Mistral AI
Java

Java

Oracle

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

We introduce Codestral, our first-ever code model. Codestral is an open-weight generative AI model explicitly designed for code generation tasks. It helps developers write and interact with code through a shared instruction and completion API endpoint. As it masters code and English, it can be used to design advanced AI applications for software developers. Codestral is trained on a diverse dataset of 80+ programming languages, including the most popular ones, such as Python, Java, C, C++, JavaScript, and Bash. It also performs well on more specific ones like Swift and Fortran. This broad language base ensures Codestral can assist developers in various coding environments and projects.

About

The Java™ Programming Language is a general-purpose, concurrent, strongly typed, class-based object-oriented language. It is normally compiled to the bytecode instruction set and binary format defined in the Java Virtual Machine Specification. In the Java programming language, all source code is first written in plain text files ending with the .java extension. Those source files are then compiled into .class files by the javac compiler. A .class file does not contain code that is native to your processor; it instead contains bytecodes — the machine language of the Java Virtual Machine1 (Java VM). The java launcher tool then runs your application with an instance of the Java Virtual Machine.

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

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 interested in a large language model for coding

Audience

Developers looking for a Programming Language solution

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

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

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Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5

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

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

Mistral AI
Founded: 2023
France
mistral.ai/

Company Information

Oracle
docs.oracle.com/javase/8/docs/technotes/guides/language/index.html

Company Information

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

Alternatives

CodeGemma

CodeGemma

Google

Alternatives

Codestral Mamba

Codestral Mamba

Mistral AI

Alternatives

Alternatives

Qwen-7B

Qwen-7B

Alibaba
Qwen2

Qwen2

Alibaba
DeepSeek-V2

DeepSeek-V2

DeepSeek
Qwen2.5-Max

Qwen2.5-Max

Alibaba
Qwen3-Max

Qwen3-Max

Alibaba
ChatGPT

ChatGPT

OpenAI
Qwen2.5-Max

Qwen2.5-Max

Alibaba

Categories

Categories

Categories

Categories

Integrations

16x Prompt
Activeeon ProActive
Aserto
CI Fuzz
CTRLpotato
Codespy
EvalsOne
FusionCharts
Gemini 2.0
Gemini 2.5 Pro
GuardRails
LEADTOOLS Recognition SDK
ManagePrompt
Nakama
Opengrep
PDFreactor
Superinterface
TinyMCE
Weave
Yandex Object Storage

Integrations

16x Prompt
Activeeon ProActive
Aserto
CI Fuzz
CTRLpotato
Codespy
EvalsOne
FusionCharts
Gemini 2.0
Gemini 2.5 Pro
GuardRails
LEADTOOLS Recognition SDK
ManagePrompt
Nakama
Opengrep
PDFreactor
Superinterface
TinyMCE
Weave
Yandex Object Storage

Integrations

16x Prompt
Activeeon ProActive
Aserto
CI Fuzz
CTRLpotato
Codespy
EvalsOne
FusionCharts
Gemini 2.0
Gemini 2.5 Pro
GuardRails
LEADTOOLS Recognition SDK
ManagePrompt
Nakama
Opengrep
PDFreactor
Superinterface
TinyMCE
Weave
Yandex Object Storage

Integrations

16x Prompt
Activeeon ProActive
Aserto
CI Fuzz
CTRLpotato
Codespy
EvalsOne
FusionCharts
Gemini 2.0
Gemini 2.5 Pro
GuardRails
LEADTOOLS Recognition SDK
ManagePrompt
Nakama
Opengrep
PDFreactor
Superinterface
TinyMCE
Weave
Yandex Object Storage
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