# Google DeepMind introduces Gemini Robotics 2.5, its most capable vision-language-action model

Canonical: https://theagenticweekly.com/news/gemini-robotics-2-5-vla-model · Evidence: Reported · First seen: 2026-11-10 15:04 UTC · Source published: not stated by the source · Brief published: 2026-11-10 15:14 UTC · Updated: 2026-11-10 15:14 UTC · Author: Agentic Weekly

> Google DeepMind introduced Gemini Robotics 2.5 on Nov 10, 2026, calling it "our most capable vision-language-action (VLA) model to date." Google reports 30% to 100% higher success rates than previous baselines across 200 tasks, and says the model is rolling out to robotics partners.

Models in this brief: [Gemini Robotics 2.5](https://theagenticweekly.com/models/gemini-robotics-2-5), [Gemini 4 Argon](https://theagenticweekly.com/models/gemini-4-argon)

## What changed

- Google DeepMind says Gemini Robotics 2.5 is its most capable vision-language-action model to date and is rolling out to its robotics partners; no public API or pricing is announced.
- Across 200 distinct tasks such as serving food with tongs, tying a bow and pipetting a liquid, Google reports a 30% to 100% higher success rate than previous baselines and 20% to 30% faster completion.
- In a proof-of-concept on Mercedes-Benz production lines in Kecskemét, Hungary, and Sindelfingen, Germany, Apptronik's Apollo 2 humanoid did automotive kitting with a 96% success rate, per Google.
- Google says inference-time reasoning guidance raised safe task completion by 33% around obstacles and 43% around nearby people in its evaluations.
- DeepMind is releasing ASIMOV-Jailbreak, an open-source robotics jailbreak benchmark; it reports Gemini 4 Argon at 99.5% jailbreak resistance versus 82% for Gemini Robotics ER 2.
- Google credits Gemini 4 Argon with speeding development by generating thousands of simulated practice runs and digital twins from real camera scenes.

## In the source's words

> "Today, we are introducing Gemini Robotics 2.5, our most capable vision-language-action (VLA) model to date."
> (Google DeepMind blog, Gemini Robotics 2.5, https://deepmind.google/blog/gemini-robotics-2-5-accelerates-real-world-physical-intelligence/)

> "Gemini Robotics 2.5 is rolling out to our robotics partners"
> (Google DeepMind blog, Gemini Robotics 2.5, https://deepmind.google/blog/gemini-robotics-2-5-accelerates-real-world-physical-intelligence/)

## What we have not verified

- We did not run the model; every number is from Google's own evaluations.
- Google does not name which partners get access, when it will be broadly available, or any API model id or price.
- The 96% kitting figure is from a proof-of-concept pilot; Google gives no number of attempts or duration, and we did not check Mercedes-Benz or Apptronik statements.
- The 99.5% jailbreak resistance figure is for Gemini 4 Argon, not for Gemini Robotics 2.5 itself.

## Timeline

- Source published: not stated by the source
- First seen by our watcher: 2026-11-10 15:04 UTC (via Watcher: Google DeepMind blog feed)
- Brief published: 2026-11-10 15:14 UTC

## Sources

- [Google DeepMind blog: Gemini Robotics 2.5 accelerates real-world general dexterity](https://deepmind.google/blog/gemini-robotics-2-5-accelerates-real-world-physical-intelligence/) (primary source) (fetched 2026-11-10)

## Related

- [Gemini Robotics 2.5: specs, price and alternatives](https://theagenticweekly.com/models/gemini-robotics-2-5)
- [Gemini 4 Argon: specs, price and alternatives](https://theagenticweekly.com/models/gemini-4-argon)
- [Gemini 4 Argon vs GPT-6.1 Sol](https://theagenticweekly.com/compare/gemini-4-argon-vs-gpt-6-1-sol)
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## How to cite

Agentic Weekly, "Google DeepMind introduces Gemini Robotics 2.5, its most capable vision-language-action model", published 2026-11-10 15:14 UTC, https://theagenticweekly.com/news/gemini-robotics-2-5-vla-model