Generalist AIUnited States2026
GEN-1.5
An AI model: a vision-language-action model (VLA) takes camera images and an instruction and turns them into movements for a robot. This page describes the software, not a robot.
Robotsnot stated
Key figures as stated by the developer
3 of 6 stated · 3 gaps- Model type not stated
-
Controls A
arms and hands -
Inputs A
cameralanguagerobot state - Access not stated
- Parameters not stated
- Base model A no
How to read the figures
- 14kgA30.9lbA
- The letter in the grey square after a figure points to the source the figure came from. Robots with several sources carry several letters.
- 74.5lb
- Imperial figures are our own conversion unless the manufacturer states an imperial figure itself. The source letter always belongs to the metric figure — a conversion has no source of its own.
Versions and notes in the key figures (4)
Model type
Note The developer calls it something else and does not label it vision-language-action or world action model: "Our latest robot foundation model".
Controls
The model produces action trajectories; "a person can demonstrate a task with their own hands, in view of the robot's cameras, and the model reproduces it with the robot's hands."
Inputs
Developer wording: "GEN-1.5 is a large multimodal model that processes video input (30 seconds of memory, alongside other sensor, language, and proprioceptive inputs) and produces 100 Hz action trajectories."
Base model
Note Generalist's wording: "embodied foundation models trained from the ground up on physical experience".
Full specifications
5 of 12 fields stated| Field | Value | Source and caveats |
|---|---|---|
| Input and output | ||
| Model type | not stated | Note The developer calls it something else and does not label it vision-language-action or world action model: "Our latest robot foundation model". A |
| Inputs | camera language robot state | A Developer wording: "GEN-1.5 is a large multimodal model that processes video input (30 seconds of memory, alongside other sensor, language, and proprioceptive inputs) and produces 100 Hz action trajectories." |
| Controls | arms and hands | A The model produces action trajectories; "a person can demonstrate a task with their own hands, in view of the robot's cameras, and the model reproduces it with the robot's hands." |
| Degrees of freedom controlled | not stated | |
| Size and speed | ||
| Parameters | not stated | |
| Control rate | 100Hz | A Action trajectories: "GEN-1.5 is a large multimodal model that processes video input (30 seconds of memory, alongside other sensor, language, and proprioceptive inputs) and produces 100 Hz action trajectories." |
| Where it runs and what it is built on | ||
| Runs where | not stated | |
| Base model | no | Note Generalist's wording: "embodied foundation models trained from the ground up on physical experience". A |
| Openness | ||
| Access | not stated | |
| License | not stated | |
| The developer’s own claims | ||
| Learns new tasks | from a few examples | A Developer claim: "it can learn a new task in seconds, from a single example, without gradient updates or fine-tuning". "The model learns new tasks in seconds when prompted with 3 to 12 seconds of a single demonstration, no training required." |
| Works across robots | not stated | Note "For every task above, fine-tuned models generalize well beyond their demonstrations": "not only to new embodiments, object instances, and environments". A Yes only if the developer itself says the model runs on different robot models, for example robots from two manufacturers or two of one manufacturer’s models. Several units of the same robot do not count. |
Notes
- Generalist describes GEN-1.5 as showing broad one-shot and few-shot learning from demonstration capabilities, as well as zero-shot generalization.
Sources
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A
Manufacturer product page. generalistai.
com/ · Retrievedblog/ gen-1. 5
One line per source, not per figure: a source has one retrieval date. The letter beside a figure points to the line it came from.