GPT Image 2
ModelsOpenAI's state-of-the-art image generation and editing model behind ChatGPT Images 2.0, designed for higher-quality visual outputs, image inputs, and production-ready text rendering.
Like moving from a poster generator to a production design assistant: DALL-E 3 could paint the scene, while GPT Image 2 is built to revise, compose, and prepare visual assets with much tighter control.
GPT Image 2 is OpenAI's current flagship image generation model, exposed in the API as gpt-image-2 and presented to ChatGPT users through ChatGPT Images 2.0. OpenAI describes it as its state-of-the-art image generation model for fast, high-quality generation and editing, with text and image inputs and image output.
The important shift from DALL-E 3 is that GPT Image 2 is not just a text-to-image endpoint. It sits inside the newer GPT Image family, supports both generation and editing workflows, accepts high-fidelity image inputs, and is designed for conversational or multi-step image work through the Responses API as well as single-prompt image generation through the Image API. In practical terms, it is the model you reach for when the task is closer to producing a usable asset than making a one-off illustration.
GPT Image 2 is especially relevant for design, advertising, product mockups, educational visuals, multilingual typography, UI concepts, infographics, and image editing workflows where prompt adherence and text accuracy matter. OpenAI's launch examples emphasize stronger typography, global scripts, multi-panel layouts, realism, and more precise visual control than earlier generations.
DALL-E 3 vs GPT Image 2
| Feature | DALL-E 3 | GPT Image 2 |
|---|---|---|
| Status in OpenAI API docs | Previous-generation image model, marked deprecated | Current default state-of-the-art image generation model |
| API model name | dall-e-3 | gpt-image-2 |
| Core use case | Generate a new image from a text prompt | Generate and edit high-quality images from text and image inputs |
| Inputs | Text only | Text and image |
| Output | Image | Image |
| Editing workflow | Not the main strength; DALL-E 2 historically handled variations and edits | Built for generation and image edits through GPT Image endpoints |
| Conversation support | ChatGPT can refine prompts for DALL-E 3 | Designed for newer GPT Image workflows, including conversational editing through the Responses API |
| Prompt behavior | Works best with detailed prompts; the API may expand prompts automatically | Better suited for direct production prompts and iterative visual refinement |
| Text inside images | Improved over DALL-E 2, but less reliable for production typography | Stronger text rendering and multilingual visual text, based on ChatGPT Images 2.0 launch examples |
| Sizes and aspect ratios | Fixed API sizes such as 1024x1024, 1024x1536, and 1536x1024 in current docs | Flexible image sizes, with quality, size, format, and compression controls through GPT Image APIs |
| Transparent background | Not the modern default path | Not currently supported for gpt-image-2 in OpenAI docs |
| Best fit | Legacy DALL-E workflows, simple prompt-to-image generation, compatibility | New OpenAI image workflows, higher-fidelity generation, image editing, design assets, and visual production tasks |
The short version: DALL-E 3 made OpenAI image generation much better at following prompts. GPT Image 2 moves the center of gravity from prompt-following image generation to controllable, editable, production-oriented visual creation.
How Developers Use It
Developers can call GPT Image 2 through the Image API when they need a single generation or edit from one prompt. For conversational image experiences, the Responses API lets image generation become part of a larger multi-step flow with image inputs and outputs in context.
OpenAI notes that some organizations may need API organization verification before using GPT Image models. That matters for teams planning production deployments: GPT Image 2 is not just a creative toy inside ChatGPT, it is part of OpenAI's developer platform and carries the same governance and safety expectations as other production API models.
References & Resources
Last updated: May 15, 2026