Generalist AIUnited States2026
GEN-1
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 not stated
- Access A partners-early access only
- 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 Generalist's wording: "It is a large multimodal model that emits actions in real-time."
Controls
The model emits actions: "It is a large multimodal model that emits actions in real-time." Recovery behaviour: the robot can "decide to use its other hand to enable bimanual in-hand regrasping".
Access
Developer wording: "Early access partners will have access to GEN-1 starting today."
Base model
Note Generalist's wording: GEN-1 "is trained from scratch on our dataset". It also writes that GEN-1 comes "through further scaling of GEN-0’s foundation".
Full specifications
4 of 12 fields stated| Field | Value | Source and caveats |
|---|---|---|
| Input and output | ||
| Model type | not stated | Note Generalist's wording: "It is a large multimodal model that emits actions in real-time." A |
| Inputs | not stated | |
| Controls | arms and hands | A The model emits actions: "It is a large multimodal model that emits actions in real-time." Recovery behaviour: the robot can "decide to use its other hand to enable bimanual in-hand regrasping". |
| Degrees of freedom controlled | not stated | |
| Size and speed | ||
| Parameters | not stated | |
| Control rate | not stated | |
| Where it runs and what it is built on | ||
| Runs where | not stated | |
| Base model | no | Note Generalist's wording: GEN-1 "is trained from scratch on our dataset". It also writes that GEN-1 comes "through further scaling of GEN-0’s foundation". A |
| Openness | ||
| Access | partners-early access only | A Developer wording: "Early access partners will have access to GEN-1 starting today." |
| License | not stated | |
| The developer’s own claims | ||
| Learns new tasks | needs retraining | A Developer claim: "when GEN-1 adapts to a new task, it is simultaneously adapting to that robot embodiment and to that task for the first time". Generalist also mentions "task-specific data and fine tuning steps". |
| Works across robots | not stated | Note Generalist's wording on embodiments: "when GEN-1 adapts to a new task, it is simultaneously adapting to that robot embodiment and to that task for the first time". 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 as a large multimodal model that emits actions in real-time.
- Generalist adds that it is even more accurate to call GEN-1 a system than a model.
Sources
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A
Manufacturer product page. generalistai.
com/ · Retrievedblog/ gen-1
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.