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Category ranking · 4 models · checked 2026-10-13

Robotics (VLA)

Ranked by LIBERO, average success rate (4 suites). Source: SmolVLA paper, Table 2 (arXiv:2506.01844).

  1. OpenVLA 7B76.5
  2. π0 (LeRobot port)86.0
  3. SmolVLA87.3
LIBERO, average success rate (4 suites). Longer is better. Values are exactly as published; the table below links each one.

LIBERO, average success rate (4 suites)

3 with a published score, 1 not yet measured.

#
Model
Parameters
Score
Source
Licence
1SmolVLA
Hugging Face LeRobot
450 M87.3%SourcedSource
SmolVLA (0.45B) row.
Apache-2.0
2π0 (LeRobot port)
Physical Intelligence
3.5 B86%SourcedSource
π0 (3.3B), VLA-pretrained row.
Apache-2.0
3OpenVLA 7B
Stanford / OpenVLA
7.5 B76.5%SourcedSource
OpenVLA (7B) row.
MIT
—GR00T N1.5 3B
NVIDIA
2.7 BNot yet measured—NVIDIA One-Way Non-Commercial
Check terms before commercial use

How to read this: one public benchmark per category, so you can compare like with like. We copy the published number and link it; we do not re-run it, average different benchmarks or fill gaps. Vendor-reported numbers use each vendor's own settings, so treat small gaps as ties. “Not yet measured” means we found no comparable public score, not that the model is weak.

Every model was checked against the Hugging Face API on 2026-10-13: it exists, is public, and has the parameter count and licence shown. Other categories: Math and reasoning · Coding · Vision-language · OCR and documents · Speech to text · Text to speech · Image generation · Embeddings and rerankers · Small fast 'System 1' · Biomedical · Tool use and agents · Multilingual and translation · Time series.

Machine-readable: /api/v1/categories/robotics-vla.json