o4-mini
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
- 16 April 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Vision
- Task
- Language modeling/generation, Search, Question answering, Quantitative reasoning, Chat, Translation, Code generation, Visual question answering, Instruction interpretation, Visual puzzles
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
"Both o3 and o4-mini are also available to developers today via the Chat Completions API and Responses API (some developers will need to verify their organizations(opens in a new window) to access these models)"
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
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Introducing OpenAI o3 and o4-mini: Our smartest and most capable models to date with full tool access
- Last updated
- 10 February 2026
What the numbers mean
About this model
o4-mini was published by OpenAI, in United States of America, in April 2025. It comes out of industry.
It works in Multimodal, Language, Vision, and is recorded as doing language modeling/generation, Search, Question answering, Quantitative reasoning, Chat, Translation, Code generation, Visual question answering, Instruction interpretation, Visual puzzles.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
o4-mini — common questions
What is o4-mini used for?
o4-mini works in Multimodal, Language, Vision, and is recorded as handling language modeling/generation, Search, Question answering, Quantitative reasoning, Chat, Translation, Code generation, Visual question answering, Instruction interpretation, Visual puzzles. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run o4-mini?
None. o4-mini 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 o4-mini open source?
No. o4-mini has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does o4-mini have?
No parameter count has been published for o4-mini, which is why no memory or speed figure appears on this page.
Who created o4-mini?
o4-mini was published by OpenAI, based in United States of America, categorised as industry.
When was o4-mini released?
o4-mini was published in April 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.