4o Image Generation
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- OpenAI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 25 March 2025
- Authors
- Leadership Gabriel Goh: Image Generation Jackie Shannon: ChatGPT Product Mengchao Zhong, Wayne Chang: ChatGPT Engineering Rohan Sahai: Sora Product and Engineering Brendan Quinn, Tomer Kaftan: Inference Prafulla Dhariwal: Multimodal Organization Research Foundational Research Allan Jabri, David Medina, Gabriel Goh, Kenji Hata, Lu Liu, Prafulla Dhariwal Core Research Aditya Ramesh, Alex Nichol, …
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation
- Task
- Image generation, Text-to-image
- Base model
- GPT-4o
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Hosted access (no API)
- Training code
- Unreleased
"4o image generation rolls out starting today to Plus, Pro, Team, and Free users as the default image generator in ChatGPT, with access coming soon to Enterprise and Edu. It’s also available to use in Sora. For those who hold a special place in their hearts for DALL·E, it can still be accessed through a dedicated DALL·E GPT. Developers will soon be able to generate images with GPT‑4o via the API, with access rolling out in the next few weeks."
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Introducing 4o Image Generation Unlocking useful and valuable image generation with a natively multimodal model capable of precise, accurate, photorealistic outputs.
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
4o Image Generation was published by OpenAI, in the country recorded as United States of America, during March 2025. It comes out of an organisation categorised as industry.
It works in the domain of Image generation, and is recorded as performing the task of image generation, Text-to-image.
It builds on GPT-4o. That is the usual way a specialised model is produced.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
4o Image Generation — common questions
4o Image Generation— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
4o Image Generation— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
4o Image Generation— who created it?
It was published by OpenAI, based in United States of America, an organisation categorised as industry.
4o Image Generation— when was it released?
It was published in March 2025.
4o Image Generation— what is it used for?
It works in the domain of Image generation, and is recorded as handling the task of image generation, Text-to-image. These are the areas it was designed around; they describe intent rather than a hard boundary.
4o Image Generation— what GPU do I need to run it?
None. This is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.