o1-preview

Closed weights OpenAI September 2024

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
12 September 2024

What it does

The problem areas the model was built for. A model can carry several of each.

Domain
Language, Mathematics, Biology
Task
Code generation, Language modeling/generation, Quantitative reasoning, Chat, Question answering, Translation

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
SOTA improvement,Significant use

SOTA in GPQA among others: https://openai.com/index/learning-to-reason-with-llms/

Record confidence
Unknown

Sources

Where this record came from and when it was last checked.

Reference
A new series of reasoning models for solving hard problems.
Last updated
28 November 2025

What the numbers mean

About this model

o1-preview was published by OpenAI, in United States of America, in September 2024. The organisation is categorised as industry.

It works in Language, Mathematics, Biology, and is recorded as doing code generation, Language modeling/generation, Quantitative reasoning, Chat, Question answering, Translation.

Its weights were never published, so it can only be reached through its provider. No graphics card changes that.

How it was trained

Its inclusion criterion is sOTA improvement,Significant use.

Answers

o1-preview — common questions

01

Who created o1-preview?

o1-preview was published by OpenAI, based in United States of America, categorised as industry.

02

When was o1-preview released?

o1-preview was published in September 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.

03

What is o1-preview used for?

o1-preview works in Language, Mathematics, Biology, and is recorded as handling code generation, Language modeling/generation, Quantitative reasoning, Chat, Question answering, Translation. 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.

04

What GPU do I need to run o1-preview?

None. o1-preview 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.

05

Is o1-preview open source?

No. o1-preview has not had its weights published, so it exists only as a service controlled by its owner.

06

How many parameters does o1-preview have?

No parameter count has been published for o1-preview, which is why no memory or speed figure appears on this page.

Source

Original publication

Record last updated 28 November 2025

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.