Sora
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
- 15 February 2024
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Video, Vision
- Task
- Video generation, Text-to-video, Image-to-video, Video-to-video
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
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
- SOTA improvement
- Record confidence
- Unknown
They don't report evaluation results on any standard benchmarks
Sources
Where this record came from and when it was last checked.
- Reference
- Video generation models as world simulators
- Last updated
- 28 November 2025
What the numbers mean
Background
Sora was published by OpenAI, in United States of America, in February 2024. The organisation is categorised as industry.
It works in Video, Vision, and is recorded as doing video generation, Text-to-video, Image-to-video, Video-to-video.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
How it was trained
The reason it appears in this catalogue at all is sOTA improvement.
Answers
Sora — common questions
Who created Sora?
Sora was published by OpenAI, based in United States of America, categorised as industry.
When was Sora released?
Sora was published in February 2024. 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 Sora used for?
Sora works in Video, Vision, and is recorded as handling video generation, Text-to-video, Image-to-video, Video-to-video. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Sora?
None. Sora 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 Sora open source?
No. Sora has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Sora have?
No parameter count has been published for Sora, 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.