Helix
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
- Figure AI
- Organisation type
- Industry
- Country
- United States of America
- Published
- 20 February 2025
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Robotics
- Task
- Animal (human/non-human) imitation, Robotic manipulation
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.
- Parameters
- 7.1B
- Training data
- tokens
"Our system comprises two main components: S2, a VLM backbone, and S1, a latent-conditional visuomotor transformer. S2 is built on a 7B-parameter open-source, open-weight VLM pretrained on internet-scale data. <..> S1, an 80M parameter cross-attention encoder-decoder transformer, handles low-level control." 7B+80M = 7080000000
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
- Confident
Sources
Where this record came from and when it was last checked.
- Reference
- Helix: A Vision-Language-Action Model for Generalist Humanoid Control
- Last updated
- 28 November 2025
What the numbers mean
About this model
Helix was published by Figure AI, in United States of America, in February 2025. It comes out of industry.
It works in Robotics, and is recorded as doing animal (human/non-human) imitation, Robotic manipulation.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Helix — common questions
What is Helix used for?
Helix works in Robotics, and is recorded as handling animal (human/non-human) imitation, Robotic manipulation. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
What GPU do I need to run Helix?
None. Helix 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 Helix open source?
No. Helix has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Helix have?
Helix has 7.1B parameters. "Our system comprises two main components: S2, a VLM backbone, and S1, a latent-conditional visuomotor transformer. S2 is built on a 7B-parameter open-source, open-weight VLM pretrained on internet-scale data. <..> S1, an 80M parameter cross-attention encoder-decoder transformer, handles low-level control." 7B+80M = 7080000000. That figure is the total, and it is what decides how much memory the model needs — roughly half a gigabyte per billion at the compression most people use.
Who created Helix?
Helix was published by Figure AI, based in United States of America, categorised as industry.
When was Helix released?
Helix was published in February 2025.
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.