Gemini 2.5 Computer Use
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
- Organisation type
- Industry
- Country
- United States of America
- Published
- 7 October 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Language, Vision, Video, Multimodal, Speech
- Task
- Language modeling/generation, Question answering, Code generation, Quantitative reasoning, Visual question answering, Translation, Image captioning, Video description, Speech recognition (ASR), System control, Search
- Base model
- Gemini 2.5 Pro (Mar 2025)
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
Google AI Studio Gemini API Vertex AI
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 the Gemini 2.5 Computer Use model
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Gemini 2.5 Computer Use was published by Google, in United States of America, in October 2025. industry is the category the publisher falls under.
It works in Language, Vision, Video, Multimodal, Speech, and is recorded as doing language modeling/generation, Question answering, Code generation, Quantitative reasoning, Visual question answering, Translation, Image captioning, Video description, Speech recognition (ASR), System control, Search.
Its starting point was Gemini 2.5 Pro (Mar 2025) — most models at this scale are adapted from an existing base rather than built from nothing.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Answers
Gemini 2.5 Computer Use — common questions
When was Gemini 2.5 Computer Use released?
Gemini 2.5 Computer Use was published in October 2025.
What is Gemini 2.5 Computer Use used for?
Gemini 2.5 Computer Use works in Language, Vision, Video, Multimodal, Speech, and is recorded as handling language modeling/generation, Question answering, Code generation, Quantitative reasoning, Visual question answering, Translation, Image captioning, Video description, Speech recognition (ASR), System control, Search. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Gemini 2.5 Computer Use?
None. Gemini 2.5 Computer Use 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 Gemini 2.5 Computer Use open source?
No. Gemini 2.5 Computer Use has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Gemini 2.5 Computer Use have?
No parameter count has been published for Gemini 2.5 Computer Use, which is why no memory or speed figure appears on this page.
Who created Gemini 2.5 Computer Use?
Gemini 2.5 Computer Use was published by Google, 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.