{"slug":"openvla","name":"OpenVLA","domain":"openvla.github.io","verdict":"As of 2026-07-15, ChatGPT, Claude, Gemini, Grok collectively rank OpenVLA #3 of 11 for robotics foundation model. Source: https://modelsagree.com/product/openvla (modelsagree.com, CC BY 4.0).","best_rank":3,"categories":1,"brief":{"category":"best-robotics-foundation-model","title":"Best robotics foundation model","rank":3,"of":11,"top":"Gemini Robotics 1.5","day":"2026-07-17","why":[{"t":"strongest open-source zero-shot performance","m":["Gemini","Grok"],"q":"strongest open-source zero-shot performance"},{"t":"standard baseline for custom fine-tuning","m":["Gemini","Claude","Grok"],"q":"standard baseline for custom fine-tuning"},{"t":"transparent training recipe","m":["Claude"],"q":"transparent training recipe, huge academic adoption"},{"t":"accessible, community-supported","m":["Claude","Grok"],"q":"accessible, community-supported for typical practitioners experimenting/customizing on varied hardware"}],"gap":[{"t":"long-horizon reasoning","m":["ChatGPT","Claude","Grok"],"q":"unusually capable long-horizon reasoning"},{"t":"agentic multi-step planning","m":["Claude","Grok"],"q":"agentic multi-step planning"},{"t":"cross-embodiment transfer","m":["ChatGPT","Claude"],"q":"cross-embodiment transfer"}],"fix":[{"t":"zero-shot and long-horizon performance","m":["Claude"],"q":"zero-shot and long-horizon performance clearly trail the 2025-generation models"},{"t":"limits control frequency","m":["Gemini"],"q":"limits control frequency to 5-10 Hz"},{"t":"requires more task-specific data","m":["Grok"],"q":"requires more task-specific data/fine-tuning for peak real-world dexterity"}]},"entries":[{"slug":"best-robotics-foundation-model","title":"Best robotics foundation model","rank":3,"of":11,"score":8,"appearances":3,"modelRanks":{"Claude":4,"Gemini":1,"Grok":5},"reason":"Provides the strongest open-source zero-shot performance and semantic language grounding for manipulation tasks (near-tied with π0, which we rank second due to deployment compute costs), serving as the standard baseline for custom fine-tuning.","reasons":[{"model":"Gemini","reason":"Provides the strongest open-source zero-shot performance and semantic language grounding for manipulation tasks (near-tied with π0, which we rank second due to deployment compute costs), serving as the standard baseline for custom fine-tuning."},{"model":"Claude","reason":"The fully open, Apache-licensed 7B workhorse — transparent training recipe, huge academic adoption, strong fine-tuned results with the OFT recipe, and the easiest model to inspect, ablate, and publish against."},{"model":"Grok","reason":"Best open-source baseline—outperforms larger closed models like RT-2-X on diverse embodiments with efficient fine-tuning/LoRA/quantization; accessible, community-supported for typical practitioners experimenting/customizing on varied hardware."}],"fixes":[{"model":"Claude","fix":"An aging architecture trained largely on Open X-Embodiment data — zero-shot and long-horizon performance clearly trail the 2025-generation models, so it's a research baseline more than a production brain."},{"model":"Gemini","fix":"Its autoregressive token generation limits control frequency to 5-10 Hz, making it unsuitable for highly dynamic, high-speed physical reactions."},{"model":"Grok","fix":"Smaller scale than frontier closed models; requires more task-specific data/fine-tuning for peak real-world dexterity in complex dynamic settings."}],"updated":"2026-07-15","api":"https://modelsagree.com/api/v1/best/best-robotics-foundation-model.json"}],"page":"https://modelsagree.com/product/openvla","check":"https://modelsagree.com/check?q=OpenVLA","updated":"2026-08-10T18:18:45.051Z","attribution":"modelsagree.com, CC BY 4.0"}