Gemini Robotics
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
- Google DeepMind
- Organisation type
- Industry
- Country
- United States of America
- Published
- 12 March 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Robotics, Vision, Speech
- Task
- Instruction interpretation, Robotic manipulation, Speech recognition (ASR), Object recognition, Object detection
- Base model
- Gemini Robotics-ER
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
The training run
What it physically took to train: which chips, how many, for how long, and what that drew from the wall.
- Training hardware
- Google TPU v4,Google TPU v5e
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
- Unreleased
- 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
- Gemini Robotics brings AI into the physical world
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
Gemini Robotics was published by Google DeepMind, in the country recorded as United States of America, during March 2025. The category the publisher falls under is industry.
It works in the domain of Robotics, Vision, Speech, and is recorded as performing the task of instruction interpretation, Robotic manipulation, Speech recognition (ASR), Object recognition, Object detection.
Rather than being trained from scratch, it is derived from Gemini Robotics-ER. 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
Gemini Robotics — common questions
Gemini Robotics— when was it released?
It was published in March 2025.
Gemini Robotics— what is it used for?
It works in the domain of Robotics, Vision, Speech, and is recorded as handling the task of instruction interpretation, Robotic manipulation, Speech recognition (ASR), Object recognition, Object detection. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
Gemini Robotics— 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.
Gemini Robotics— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Gemini Robotics— 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.
Gemini Robotics— who created it?
It was published by Google DeepMind, based in United States of America, an organisation 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.