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About

Qwen2.5-Coder-32B-Instruct has become the current SOTA open source code model, matching the coding capabilities of GPT-4o. While demonstrating strong and comprehensive coding abilities, it also possesses good general and mathematical skills. As of now, Qwen2.5-Coder has covered six mainstream model sizes to meet the needs of different developers. We explore the practicality of Qwen2.5-Coder in two scenarios, including code assistants and artifacts, with some examples showcasing the potential applications of Qwen2.5-Coder in real-world scenarios. Qwen2.5-Coder-32B-Instruct, as the flagship model of this open source release, has achieved the best performance among open source models on multiple popular code generation benchmarks and has competitive performance with GPT-4o. Code repair is an important programming skill. Qwen2.5-Coder-32B-Instruct can help users fix errors in their code, making programming more efficient.

About

Qwen3-Coder-Next is an open-weight language model specifically designed for coding agents and local development that delivers advanced coding reasoning, complex tool usage, and robust performance on long-horizon programming tasks with high efficiency, using a mixture-of-experts architecture that balances powerful capabilities with resource-friendly operation. It provides enhanced agentic coding abilities that help software developers, AI system builders, and automated coding workflows generate, debug, and reason about code with deep contextual understanding while recovering from execution errors, making it well-suited for autonomous coding agents and development-oriented applications. By achieving strong performance comparable to much larger parameter models while requiring fewer active parameters, Qwen3-Coder-Next enables cost-effective deployment for dynamic and complex programming workloads in research and production environments.

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

Researchers and anyone wanting a solution to streamline and automate their tasks with AI

Audience

Developers, AI researchers, and teams building coding assistant agents or local development tools wanting a tool for complex code reasoning, tool use, and long-horizon programming tasks

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

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

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
qwenlm.github.io/blog/qwen2.5-coder-family/

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Alternatives

DeepCoder

DeepCoder

Agentica Project

Alternatives

DeepSeek Coder

DeepSeek Coder

DeepSeek
MiniMax M2.5

MiniMax M2.5

MiniMax
Qwen3.5

Qwen3.5

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
BLACKBOX AI
C
C#
C++
CSS
Elixir
F#
Go
HTML
Hyperbolic
Java
Kotlin
PHP
Python
Qwen Chat
Ruby
Sesterce
TypeScript
Visual Basic

Integrations

Alibaba Cloud
BLACKBOX AI
C
C#
C++
CSS
Elixir
F#
Go
HTML
Hyperbolic
Java
Kotlin
PHP
Python
Qwen Chat
Ruby
Sesterce
TypeScript
Visual Basic
Claim Qwen2.5-Coder and update features and information
Claim Qwen2.5-Coder and update features and information
Claim Qwen3-Coder-Next and update features and information
Claim Qwen3-Coder-Next and update features and information