GPT-4o (Aug 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
- 6 August 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
- Base model
- GPT-4o
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
- Update to GPT-4o
- Last updated
- 12 February 2026
What the numbers mean
About this model
GPT-4o (Aug 2024) was published by OpenAI, in United States of America, in August 2024. It comes out of industry.
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.
It is derived from GPT-4o rather than trained from scratch, which is the usual way a specialised model is produced.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
What went into building it
Its inclusion criterion is sOTA improvement,Significant use.
Answers
GPT-4o (Aug 2024) — common questions
How many parameters does GPT-4o (Aug 2024) have?
No parameter count has been published for GPT-4o (Aug 2024), which is why no memory or speed figure appears on this page.
Who created GPT-4o (Aug 2024)?
GPT-4o (Aug 2024) was published by OpenAI, based in United States of America, categorised as industry.
When was GPT-4o (Aug 2024) released?
GPT-4o (Aug 2024) was published in August 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 (Aug 2024) used for?
GPT-4o (Aug 2024) 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. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run GPT-4o (Aug 2024)?
None. GPT-4o (Aug 2024) 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 (Aug 2024) open source?
No. GPT-4o (Aug 2024) has not had its weights published, so it exists only as a service controlled by its owner.
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.