GPT-5.1-Codex, released on November 13, 2025, is a model by OpenAI designed specifically for software engineering. With a context window of 400,000 tokens, it accepts both text and image inputs, producing text outputs. This model excels in interactive development and can handle complex engineering tasks, including project creation, debugging, and code reviews. Codex adapts its reasoning effort based on the task, offering quick responses for small jobs and sustained performance for larger projects. It integrates seamlessly into various developer environments, enhancing productivity with its multimodal capabilities and tool integration.
Use Cases
Here are a few ways teams apply OpenAI: GPT-5.1-Codex in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Build projects from scratch efficiently
Develop and debug features seamlessly
Conduct thorough code reviews
Refactor code at scale
Integrate tools for enhanced workflows
Key Features
A quick look at the capabilities that make this model useful in real projects.
Optimized for software engineering tasks
Handles multimodal inputs like images
Supports structured code reviews
Integrates into developer environments
Adjustable reasoning effort for tasks
Specs
Overview
Vendor
openai
Model ID
openai/gpt-5.1-codex
Release
2025-11-13
Modalities & context
Input
text · image
Output
text
Context
400,000 tokens
Parameters & defaults
Supported parameters: include_reasoning, max_tokens, reasoning, response_format, seed, structured_outputs, tool_choice, tools
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: OpenAI: GPT-5.1-Codex
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
Artificial intelligence promises to positively upend work, leisure, and creativity by automating repetitive tasks while amplifying uniquely human strengths. In the workplace, AI-driven data interpretation and predictive analytics can expose hidden opportunities, freeing employees to cultivate strategic thinking, interpersonal collaboration, and informed decision-making. When routine chores consume less time, professionals may iterate faster and pursue continual learning, creating agile workplaces infused with curiosity. Leisure also gains depth: personalized recommendations can curate immersive experiences, while AI-managed logistics simplify travel, events, and household planning, letting people focus on meaningful interaction rather than tedious coordination. Creativity receives a generative partner—algorithms capable of suggesting novel harmonies, visual motifs, or narrative arcs based on vast cultural datasets. Working alongside these tools, artists can prototype ideas rapidly, explore cross-genre fusions, and revive archival techniques. Ultimately, AI’s supportive presence enables individuals to allocate their energy toward purpose, bonding, and experimentation, enriching both productivity and personal fulfillment.
Run this prompt on Upend.AI