DALL·E 3
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
- 19 October 2023
- Authors
- James Betker, Gabriel Goh, Li Jing, Tim Brooks, Jianfeng Wang, Linjie Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Yufei Guo, Wesam Manassra, Prafulla Dhariwal, Casey Chu, Yunxin Jiao, Aditya Ramesh
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
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
https://platform.openai.com/docs/models/dall-e
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Foundation model
- Yes
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- SOTA improvement
- Record confidence
- Unknown
- Citations
- 1,448
"we train DALL-E 3, a new state of the art text to image generator. " Section 4.1
Sources
Where this record came from and when it was last checked.
- Reference
- Improving Image Generation with Better Captions
- Last updated
- 1 January 2026
What the numbers mean
Where it came from
DALL·E 3 was published by OpenAI, in United States of America, in October 2023. The organisation is categorised as industry.
It works in Image generation, and is recorded as doing image generation, Text-to-image.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
What went into building it
The reason it appears in this catalogue at all is sOTA improvement.
Answers
DALL·E 3 — common questions
Who created DALL·E 3?
DALL·E 3 was published by OpenAI, based in United States of America, categorised as industry.
When was DALL·E 3 released?
DALL·E 3 was published in October 2023. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
What is DALL·E 3 used for?
DALL·E 3 works in Image generation, 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 DALL·E 3?
None. DALL·E 3 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 DALL·E 3 open source?
No. DALL·E 3 has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does DALL·E 3 have?
No parameter count has been published for DALL·E 3, 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.