OpenAI's GPT-5 Image, released on October 14, 2025, is a cutting-edge multimodal model that seamlessly integrates text and image processing. With a substantial context length of 400,000 tokens, it excels in handling complex tasks involving both text and images. Users can input text, images, or files, and receive outputs in text or image formats, making it versatile for a wide range of applications. Key features include enhanced reasoning, improved code quality, and detailed image editing. GPT-5 Image is designed to follow instructions with precision, making it a reliable tool for diverse needs.
Use Cases
Here are a few ways teams apply OpenAI: GPT-5 Image in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Generate detailed images from text prompts
Edit images with precise instructions
Improve text-based reasoning tasks
Develop high-quality code snippets
Create structured outputs from multimodal inputs
Key Features
A quick look at the capabilities that make this model useful in real projects.
Integrates text and image processing
400,000 token context window
Enhanced reasoning capabilities
Improved code quality
Detailed image editing
Precision in instruction following
Specs
Overview
Vendor
openai
Model ID
openai/gpt-5-image
Release
2025-10-14
Modalities & context
Input
image · text · file
Output
image · text
Context
400,000 tokens
Parameters & defaults
Supported parameters: frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, presence_penalty, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: OpenAI: GPT-5 Image
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
The OpenAI GPT-5 Image model is designed to generate and analyze images based on textual descriptions. It utilizes advanced machine learning techniques to interpret and create visual content, making it suitable for applications in graphic design, marketing, and content creation. Typical use cases include generating illustrations, enhancing visual storytelling, and providing creative visual solutions based on user prompts.
However, users should be aware of certain constraints, such as potential limitations in accurately depicting complex scenes or adhering strictly to specific artistic styles. Additionally, the model may require fine-tuning for specialized applications to achieve optimal results. Overall, GPT-5 Image serves as a versatile tool for users seeking to integrate AI-generated imagery into their workflows.
Run this prompt on Upend.AI