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Description

GPT-5.1-Codex is an advanced iteration of the GPT-5.1 model specifically designed for software development and coding tasks that require autonomy. The model excels in both interactive coding sessions and sustained, independent execution of intricate engineering projects, which include tasks like constructing applications from the ground up, enhancing features, troubleshooting, conducting extensive code refactoring, and reviewing code. It effectively utilizes various tools, seamlessly integrates into developer environments, and adjusts its reasoning capacity based on task complexity, quickly addressing simpler challenges while dedicating more resources to intricate ones. Users report that GPT-5.1-Codex generates cleaner, higher-quality code than its general counterparts, showcasing a closer alignment with developer requirements and a reduction in inaccuracies. Additionally, the model is accessible through the Responses API route instead of the conventional chat API, offering different configurations such as a “mini” version for budget-conscious users and a “max” variant that provides the most robust capabilities. Overall, this specialized version aims to enhance productivity and efficiency in software engineering practices.

Description

Qwen3-Coder is a versatile coding model that comes in various sizes, prominently featuring the 480B-parameter Mixture-of-Experts version with 35B active parameters, which naturally accommodates 256K-token contexts that can be extended to 1M tokens. This model achieves impressive performance that rivals Claude Sonnet 4, having undergone pre-training on 7.5 trillion tokens, with 70% of that being code, and utilizing synthetic data refined through Qwen2.5-Coder to enhance both coding skills and overall capabilities. Furthermore, the model benefits from post-training techniques that leverage extensive, execution-guided reinforcement learning, which facilitates the generation of diverse test cases across 20,000 parallel environments, thereby excelling in multi-turn software engineering tasks such as SWE-Bench Verified without needing test-time scaling. In addition to the model itself, the open-source Qwen Code CLI, derived from Gemini Code, empowers users to deploy Qwen3-Coder in dynamic workflows with tailored prompts and function calling protocols, while also offering smooth integration with Node.js, OpenAI SDKs, and environment variables. This comprehensive ecosystem supports developers in optimizing their coding projects effectively and efficiently.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Shiori Yes 
Brokk No 
ChatGPT Yes 
ChatGPT Pro Yes 
Codex Security Yes 
Elixir Yes 
GPT-6 Astra Yes 
Gemini Enterprise No 
GitHub Yes 
Go Yes 
JavaScript Yes 
Julia Yes 
Kotlin Yes 
Laravel Yes 
NexaSDK No 
OpenCode No 
PHP Yes 
R Yes 
Tinfoil No 
Visual Studio Code Yes 

Integrations

Shiori Yes 
Brokk Yes 
ChatGPT No 
ChatGPT Pro No 
Codex Security No 
Elixir No 
GPT-6 Astra No 
Gemini Enterprise Yes 
GitHub No 
Go No 
JavaScript No 
Julia No 
Kotlin No 
Laravel No 
NexaSDK Yes 
OpenCode Yes 
PHP No 
R No 
Tinfoil Yes 
Visual Studio Code No 

Pricing Details

$1.25 per input
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

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

Vendor Details

Company Name

Qwen

Founded

2023

Country

China

Website

qwenlm.github.io/blog/qwen3-coder/

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