Post-Cutoff

UC Berkeley (RAIL) / Stanford / CMU / Google DeepMindOcto familyLegacyRobotics modelReleased 20 May 2024

Octo (Octo-Small / Octo-Base 1.5)

Model idrail-berkeley/octo-base-1.5

PricePrice not published

Checked29 September 2026

Where it stands

33newer robotics models since its release

The 5 newest are listed. All robotics models

Weights
Weights are public under a permissive licence (MIT).

How to call it

2 ways to use Octo (Octo-Small / Octo-Base 1.5), with the model id each provider expects.

Providers, model ids, endpoints and docs for Octo (Octo-Small / Octo-Base 1.5)
ProviderModel idEndpointDocs
Hugging Face rail-berkeley/octo-base-1.5 huggingface.co
GitHub octo-models.github.io
github.com

Pricing

Price not published.

No price source linked. Checked 29 September 2026.

Specs

Input
Images and text
Output
Robot actions
Context window
Not published
Max output
Not published
Open weights
Yes
Licence
MIT
Released
20 May 2024
Status
Legacy
Type
Robotics model

What stands out

What its maker marketed at launch, and what people found later, each with its source.

  • 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: arxiv.org

Notes

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