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Average Ratings 0 Ratings

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features
design
support

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Description

The GPT-5.1-Codex-Max represents the most advanced version within the GPT-5.1-Codex lineup, specifically tailored for software development and complex coding tasks. It enhances the foundational GPT-5.1 framework by emphasizing extended objectives like comprehensive project creation, significant refactoring efforts, and independent management of bugs and testing processes. This model incorporates adaptive reasoning capabilities, allowing it to allocate computational resources more efficiently based on the complexity of the tasks at hand, ultimately enhancing both performance and the quality of its outputs. Furthermore, it facilitates the use of various tools, including integrated development environments, version control systems, and continuous integration/continuous deployment (CI/CD) pipelines, while providing superior precision in areas such as code reviews, debugging, and autonomous operations compared to more general models. In addition to Max, other lighter variants like Codex-Mini cater to budget-conscious or scalable application scenarios. The entire GPT-5.1-Codex suite is accessible through developer previews and integrations, such as those offered by GitHub Copilot, making it a versatile choice for developers. This extensive range of options ensures that users can select a model that best fits their specific needs and project requirements.

Description

GPT-5.3-Codex-Spark is OpenAI’s first model purpose-built for real-time coding within the Codex ecosystem. Engineered for ultra-low latency, it can generate more than 1000 tokens per second when running on Cerebras’ Wafer Scale Engine hardware. Unlike larger frontier models designed for long-running autonomous tasks, Codex-Spark specializes in rapid iteration, targeted edits, and immediate feedback loops. Developers can interrupt, redirect, and refine outputs interactively, making it ideal for collaborative coding sessions. The model features a 128k context window and is currently text-only during its research preview phase. End-to-end latency improvements—including WebSocket streaming and inference stack optimizations—reduce time-to-first-token by 50% and overall roundtrip overhead by up to 80%. Codex-Spark performs strongly on benchmarks such as SWE-Bench Pro and Terminal-Bench 2.0 while completing tasks significantly faster than its larger counterpart. It is available to ChatGPT Pro users in the Codex app, CLI, and VS Code extension with separate rate limits during preview. The model maintains OpenAI’s standard safety training and evaluation protocols. Codex-Spark represents the beginning of a dual-mode Codex future that blends real-time interaction with long-horizon reasoning capabilities.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Codex CLI Yes 
Codex Security Yes 
Microsoft Foundry Yes 
OpenAI Codex Yes 
ChatGPT Enterprise Yes 
Devin Desktop Yes 
Elixir Yes 
GPT-5.1 Yes 
GPT-5.4 Pro Yes 
GPT-5.4 nano Yes 
GPT-5.5 Yes 
GPT-5.5 Pro Yes 
GPT-5.6 Terra Yes 
GPT-6 Sol Yes 
GitHub Yes 
Go Yes 
Holo4 Yes 
OpenAI No 
Python Yes 
Scala Yes 

Integrations

Codex CLI Yes 
Codex Security Yes 
Microsoft Foundry Yes 
OpenAI Codex Yes 
ChatGPT Enterprise No 
Devin Desktop No 
Elixir No 
GPT-5.1 No 
GPT-5.4 Pro No 
GPT-5.4 nano No 
GPT-5.5 No 
GPT-5.5 Pro No 
GPT-5.6 Terra No 
GPT-6 Sol No 
GitHub No 
Go No 
Holo4 No 
OpenAI Yes 
Python No 
Scala No 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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) No 
In Person No 

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com/index/gpt-5-1-codex-max/

Vendor Details

Company Name

OpenAI

Founded

2015

Country

United States

Website

openai.com

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