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What is Qwen Code?

Qwen3-Coder is a sophisticated coding model available in multiple sizes, with its standout 480B-parameter Mixture-of-Experts variant (featuring 35B active parameters) capable of handling 256K-token contexts that can be expanded to 1M, showcasing superior performance in Agentic Coding, Browser-Use, and Tool-Use tasks, effectively competing with Claude Sonnet 4. The model undergoes a pre-training phase that utilizes a staggering 7.5 trillion tokens, of which 70% consist of code, alongside synthetic data improved from Qwen2.5-Coder, thereby boosting its coding proficiency and overall functionality. Its post-training phase benefits from extensive execution-driven reinforcement learning across 20,000 parallel environments, allowing it to tackle complex multi-turn software engineering tasks like SWE-Bench Verified without requiring test-time scaling. Furthermore, the open-source Qwen Code CLI, adapted from Gemini Code, enables the implementation of Qwen3-Coder in agentic workflows through customized prompts and function calling protocols, ensuring seamless integration with platforms like Node.js and OpenAI SDKs. This blend of powerful features and versatile accessibility makes Qwen3-Coder an invaluable asset for developers aiming to elevate their coding endeavors and streamline their workflows effectively. As a result, it serves as a pivotal resource in the rapidly evolving landscape of programming tools.

What is GPT-5.1-Codex?

GPT-5.1-Codex represents a sophisticated evolution of the GPT-5.1 framework, tailored specifically for coding and software development tasks that necessitate a degree of independence. This model shines in interactive programming scenarios as well as in the sustained execution of complex engineering endeavors, encompassing activities such as building applications from scratch, improving functionalities, debugging, performing comprehensive code refactoring, and conducting code reviews. It adeptly harnesses a variety of tools while merging seamlessly into development environments, modulating its reasoning skills according to the complexity of the tasks at hand; it swiftly resolves straightforward issues while allocating additional resources to more complex challenges. Users have noted that GPT-5.1-Codex consistently produces cleaner and higher-quality code compared to its general-purpose alternatives, demonstrating a better alignment with developer needs and a significant decrease in errors. Moreover, access to the model is provided via the Responses API rather than the typical chat API, and it includes distinct configurations such as a “mini” version for those on a budget and a “max” variant that offers the highest level of performance. This specialized iteration is designed not only to improve productivity but also to significantly enhance efficiency in software development processes, ultimately leading to a smoother workflow for engineers. Its adaptability and targeted features make it a valuable asset in the fast-evolving landscape of software engineering.

Media

Media

Integrations Supported

Alibaba AI Coding Plan
Claude Opus 5.5
OpenSpec
Qwen3.8-27B
Qwen3.8-Max
SuperBased

Integrations Supported

C#
ChatGPT Plus
F#
GPT-6 Astra
GPT-6 Sol
GPT-6.1 Terra
Holo4
Laravel
OpenAI Codex
SQL
Scala
TypeScript
Visual Basic
Zo Computer

API Availability

API Availability

Has API

Pricing Information

Free
Free Version

Pricing Information

$1.25 per input
Free Version

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Qwen

Date Founded

2023

Company Location

China

Company Website

github.com/QwenLM/qwen-code

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

platform.openai.com/docs/models/gpt-5.1-codex

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

Categories and Features

Agentic AI

Not specified

AI Coding Agents

Not specified

AI Coding Models

Not specified

AI Models

Not specified

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