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Open weightsGoogle DeepMind/10 trustVerified
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RT-2-X

Multi-robot vision-language-action model from the Open X-Embodiment project.

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About

RT-2-X is Google DeepMind's vision-language-action model trained on the Open X-Embodiment dataset, released October 2023 alongside the dataset and the smaller RT-1-X. The project pooled data from 22 robot embodiments across 20 institutions: over 1 million episodes covering 500+ skills and 150,000 tasks, released as the largest open real-robot dataset of its kind. RT-2-X builds on RT-2's web-scale vision-language pretraining, giving it emergent semantic understanding: it can interpret abstract commands and transfer web knowledge into robot actions it was never explicitly trained for.

DeepMind reported RT-2-X achieved 3x performance improvement over models trained per-robot, demonstrating that cross-embodiment training generalizes better than narrow specialists. Both the dataset and the trained models were open-sourced, seeding years of follow-on robotics research. Exact release date is era-level (October 2023) and flagged as such.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

October 1, 2023

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

robot-controlcross-embodiment-learningvision-language-actionrobotics-research

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 92; Trending score 80/100 from researcher assessment.

Sources