As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/m/octo/

# Octo (Octo-Small / Octo-Base 1.5)

UC Berkeley (RAIL) / Stanford / CMU / Google DeepMind, Octo family. Status: legacy. Type: robotics model. Released: 2024-05-20.

## How to call it

| Provider | Model id | Endpoint | Docs |
|---|---|---|---|
| Hugging Face | `rail-berkeley/octo-base-1.5` |  | https://huggingface.co/rail-berkeley/octo-base-1.5 |
| GitHub |  |  | https://octo-models.github.io/ https://github.com/octo-models/octo |

## Pricing

- Price not published.
- Last checked: 2026-09-29

## Specs

- Input: image, text
- Output: action
- Context window: not published
- Max output: not published
- Open weights: yes
- Licence: mit

## Where it stands

- Newer robotics models in the registry since its release: 33. The 5 newest:
  - Praxis-1 (2026-09-30) https://postcutoff.com/m/praxis-1/
  - Helix 2.5 (2026-09-17) https://postcutoff.com/m/figure-helix-2-5/
  - UnifoLM-WLA-1.0 (2026-09-10) https://postcutoff.com/m/unifolm-wla-1-0/
  - Skild S1 (Skild Brain) (2026-08-25) https://postcutoff.com/m/skild-s1/
  - Generalist GEN-1.5 (2026-08-19) https://postcutoff.com/m/generalist-gen-1-5/
- Weights are public under a permissive licence (MIT).

## What stands out

- Open generalist policy on Open X-Embodiment: Transformer diffusion policy (27M Small / 93M Base) trained on 800k trajectories from Open X-Embodiment; instructed by language or goal images; evaluated on 9 robot platforms; fine-tunes to new sensors and action spaces in hours on consumer GPUs. Source: https://arxiv.org/abs/2405.12213

## Notes

Early (2024) fully open generalist robot policy; now mostly a baseline. Parameter sizes from the project page.


Model page: https://postcutoff.com/m/octo/