gpt-image-1
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
- 23 April 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Image generation, Vision
- Task
- Image generation, Text-to-image
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
- API access
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- Significant use
- Record confidence
- Unknown
"When we introduced image generation in ChatGPT last month, it quickly became one of our most popular features: over 130 million users around the world created more than 700 million images in just the first week." They also describe the model as SOTA: https://platform.openai.com/docs/models/gpt-image-1
Sources
Where this record came from and when it was last checked.
- Reference
- Introducing our latest image generation model in the API
- Last updated
- 28 November 2025
What the numbers mean
Background
gpt-image-1 was published by OpenAI, in United States of America, in April 2025. It comes out of industry.
It works in Image generation, Vision, and is recorded as doing image generation, Text-to-image.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
How it was trained
The reason it appears in this catalogue at all is significant use.
Answers
gpt-image-1 — common questions
Who created gpt-image-1?
gpt-image-1 was published by OpenAI, based in United States of America, categorised as industry.
When was gpt-image-1 released?
gpt-image-1 was published in April 2025.
What is gpt-image-1 used for?
gpt-image-1 works in Image generation, Vision, and is recorded as handling image generation, Text-to-image. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run gpt-image-1?
None. gpt-image-1 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.
Is gpt-image-1 open source?
No. gpt-image-1 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does gpt-image-1 have?
No parameter count has been published for gpt-image-1, which is why no memory or speed figure appears on this page.
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.