GPT-4o
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
- 13 May 2024
- Authors
- Aidan Clark, Alex Paino, Jacob Menick, Liam Fedus, Luke Metz, Clemens Winter, Lia Guy, Sam Schoenholz, Daniel Levy, Nitish Keskar, Alex Carney, Alex Paino, Ian Sohl, Qiming Yuan, Reimar Leike, Arka Dhar, Brydon Eastman, Mia Glaese, Ben Sokolowsky, Andrew Kondrich, Felipe Petroski Such, Henrique Ponde de Oliveira Pinto, Jiayi Weng, Randall Lin, Youlong Cheng, Nick Ryder, Lauren Itow, Barret Zoph, J…
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Multimodal, Language, Audio, Speech, Vision
- Task
- Chat, Image generation, Audio generation, Vision-language generation, Table tasks, Language modeling/generation, Question answering, Speech recognition (ASR), Speech-to-text
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.
- Frontier model
- Yes
- Likely above 10²³ FLOP
- Yes
- Why it is tracked
- SOTA improvement,Significant use
- Record confidence
- Speculative
Outperforms GPT-4 Turbo and other models on text and especially on multimodal benchmarks, such as MMLU, GPQA, HumanEval, MMMU, etc See Model Evaluations: https://openai.com/index/hello-gpt-4o/ GPT-4o is now the default model in ChatGPT, so it's one of the most widely used models.
Sources
Where this record came from and when it was last checked.
- Reference
- Hello GPT-4o
- Last updated
- 3 March 2026
What the numbers mean
About this model
GPT-4o was published by OpenAI, in United States of America, in May 2024. industry is the category the publisher falls under.
It works in Multimodal, Language, Audio, Speech, Vision, and is recorded as doing chat, Image generation, Audio generation, Vision-language generation, Table tasks, Language modeling/generation, Question answering, Speech recognition (ASR), Speech-to-text.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
What went into building it
It is tracked in the underlying dataset for one reason in particular: sOTA improvement,Significant use.
Answers
GPT-4o — common questions
When was GPT-4o released?
GPT-4o was published in May 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 used for?
GPT-4o works in Multimodal, Language, Audio, Speech, Vision, and is recorded as handling chat, Image generation, Audio generation, Vision-language generation, Table tasks, Language modeling/generation, Question answering, Speech recognition (ASR), Speech-to-text. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run GPT-4o?
None. GPT-4o 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 open source?
No. GPT-4o has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does GPT-4o have?
No parameter count has been published for GPT-4o, which is why no memory or speed figure appears on this page.
Who created GPT-4o?
GPT-4o was published by OpenAI, based in United States of America, categorised as industry.
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.