ChatGPT agent
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
- 17 July 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language
- Task
- Language modeling/generation, Question answering, Quantitative reasoning, System control, Table tasks, Code generation, Instruction interpretation, Translation, Search
- 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
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
- Hosted access (no API)
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Introducing ChatGPT agent: bridging research and action
- Last updated
- 28 November 2025
What the numbers mean
Background
ChatGPT agent was published by OpenAI, in the country recorded as United States of America, during July 2025. The publishing organisation is categorised as industry.
It works in the domain of Language, and is recorded as performing the task of language modeling/generation, Question answering, Quantitative reasoning, System control, Table tasks, Code generation, Instruction interpretation, Translation, Search.
Rather than being trained from scratch, it is derived from GPT-4o. Most models at this scale are adapted from an existing base rather than built from nothing.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
ChatGPT agent — common questions
ChatGPT agent— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
ChatGPT agent— who created it?
It was published by OpenAI, based in United States of America, an organisation categorised as industry.
ChatGPT agent— when was it released?
It was published in July 2025.
ChatGPT agent— what is it used for?
It works in the domain of Language, and is recorded as handling the task of language modeling/generation, Question answering, Quantitative reasoning, System control, Table tasks, Code generation, Instruction interpretation, Translation, Search. 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.
ChatGPT agent— what GPU do I need to run it?
None. This 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.
ChatGPT agent— is it open source?
No. Its weights have not been 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.