ModelsAgree
← All leaderboards

Gemini Robotics 1.5

What ChatGPT, Claude, Gemini & Grok actually say · August 2026

Visit deepmind.google

The verdict

Gemini Robotics 1.5 appears in 1 AI-ranked category — best position #1 for robotics foundation model.

Positioning brief — for the Gemini Robotics 1.5 team

Why the models put Gemini Robotics 1.5 at #1 for robotics foundation model

  • long-horizon reasoning GPT · Claude · Grokunusually capable long-horizon reasoning when paired with Gemini Robotics-ER
  • agentic multi-step planning Claude · Grokagentic multi-step planning
  • cross-embodiment transfer GPT · Claudecross-embodiment transfer
  • spatial/multi-view understanding GPT · Grokspatial/multi-view understanding

What would move the rank — the models’ fix lines, unified

  • Limited public access GPT · Claude · GrokLimited public access (partner-only)
  • no open weights GPT · Claudeno open weights
  • higher latency/compute demands Grokhigher latency/compute demands vs. compact on-device options

Restructured from verbatim model output · nothing invented · every quote machine-verified

#1🤖 Best robotics foundation model3/4 models · updated 2026-07-15
GPT #2Claude #2Gemini Grok #4

Strongest demonstrated general-purpose VLA for semantic, visual, action, and task generalization, with cross-embodiment transfer and unusually capable long-horizon reasoning when paired with Gemini Robotics-ER

Claude The highest raw capability in the category — embodied reasoning (ER 1.5 via the Gemini API), agentic multi-step planning, cross-embodiment transfer, and an on-device variant; near-tie with GR00T N1.5, ranked above it on capability, below π0.5 on access.

Grok Excellent long-horizon reasoning, spatial/multi-view understanding, and agentic capabilities via Gemini backbone; strong partnerships (Boston Dynamics Atlas, Apptronik) for industrial/general deployment.

Where Gemini Robotics 1.5 falls short, per the models

  • GPT Limited partner access and no open weights make it unsuitable for practitioners needing self-service deployment or deep customization
  • Claude The full VLA is gated behind a trusted-tester program rather than open weights, so most teams can only touch the ER reasoning layer via API — not for anyone who needs to own and modify the policy.
  • Grok Limited public access (partner-only); higher latency/compute demands vs. compact on-device options.

Top alternatives per the models: NVIDIA Isaac GR00T N1.7 · OpenVLA · Physical Intelligence π0 · Physical Intelligence π0.5

Head-to-head — how the models call it

Watch Gemini Robotics 1.5

Boards re-poll weekly and the models change their minds. One short email only when Gemini Robotics 1.5's standing moves — a rank change, a rival overtaking, or new reasoning from the models. Nothing otherwise.

Embed your ranking badge

Gemini Robotics 1.5 ranks #1 for best robotics foundation model by AI-model consensus. Put the badge in your README, docs or site — it updates automatically as the models re-rank.

Gemini Robotics 1.5 — ranked #1 for Best robotics foundation model by AI models on ModelsAgree
Markdown (README)
[![Gemini Robotics 1.5 — ranked #1 for Best robotics foundation model by AI models on ModelsAgree](https://modelsagree.com/badge/gemini-robotics-1-5.svg)](https://modelsagree.com/best/best-robotics-foundation-model?utm_source=badge&utm_medium=embed&utm_campaign=badge-gemini-robotics-1-5)
HTML
<a href="https://modelsagree.com/best/best-robotics-foundation-model?utm_source=badge&utm_medium=embed&utm_campaign=badge-gemini-robotics-1-5"><img src="https://modelsagree.com/badge/gemini-robotics-1-5.svg" alt="Gemini Robotics 1.5 — ranked #1 for Best robotics foundation model by AI models on ModelsAgree" height="28"></a>

Rankings are computed from what the models answer, re-polled on demand · raw reasoning shown verbatim · methodology