GPT-4o 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
- 18 July 2024
- Authors
- Pre-training leads Aidan Clark, Alex Paino, Jacob Menick Post-training leads Liam Fedus, Luke Metz Architecture leads Clemens Winter, Lia Guy Optimization leads Sam Schoenholz, Daniel Levy Long-context lead Nitish Keskar Pre-training Data leads Alex Carney, Alex Paino, Ian Sohl, Qiming Yuan Tokenizer lead Reimar Leike Human data leads Arka Dhar, Brydon Eastman, Mia Glaese Eval lead Ben Sok…
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Multimodal, Vision
- Task
- Chat, Language modeling/generation, Code generation, Visual question answering
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
Training compute
The arithmetic performed to train the model, measured in floating-point operations. It is a measure of what the training run cost, not of how fast the finished model answers you.
- How it was established
- Benchmarks
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
- Speculative
No public breakdown of GPT-4o mini users, but as of late 2024, it is one of the few main models available in ChatGPT and OpenAI's cheapest model. OpenAI has hundreds of millions of users.
Sources
Where this record came from and when it was last checked.
- Reference
- GPT-4o mini: advancing cost-efficient intelligence
- Last updated
- 28 November 2025
What the numbers mean
What this model is
GPT-4o mini was published by OpenAI, in United States of America, in July 2024. industry is the category the publisher falls under.
It works in Language, Multimodal, Vision, and is recorded as doing chat, Language modeling/generation, Code generation, Visual question answering.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
What went into building it
Its inclusion criterion is significant use.
Answers
GPT-4o mini — common questions
Who created GPT-4o mini?
GPT-4o mini was published by OpenAI, based in United States of America, categorised as industry.
When was GPT-4o mini released?
GPT-4o mini was published in July 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 GPT-4o mini used for?
GPT-4o mini works in Language, Multimodal, Vision, and is recorded as handling chat, Language modeling/generation, Code generation, Visual question answering. 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-4o mini?
None. GPT-4o 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 GPT-4o mini open source?
No. GPT-4o mini has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does GPT-4o mini have?
No parameter count has been published for GPT-4o mini, 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.