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Gemini Robotics 2.5

Gemini Robotics 2.5: Google’s most capable robot model

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Gemini Robotics 2.5 is Google DeepMind’s most capable vision-language-action model, turning what a robot sees and is told into hand and arm movements. Per DeepMind, it has a 30% to 100% higher success rate than the previous baseline, finishes tasks 20% to 30% faster, and reached 96% success in a Mercedes-Benz parts-kitting pilot with Apptronik’s Apollo 2 humanoid. Works across robot types. Rolling out to robotics partners.

PH · launched Nov 11, 2026 · 1 upvote (top 65%) · 0 views

Niche: multimodal ai platforms and tools · 215 launches, 16 in the last 7 days ▼ -47% · Explore this niche →

Category and tags

  • Horizontal
  • Model & infra
  • B2B
  • AI-native
  • Commercial product
  • Artificial Intelligence

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Could you build this?

No This is a vision-language-action foundation model trained on large robotics datasets and run on specialized hardware. Building a comparable model requires frontier research and massive compute.

What it would actually take: Reproducing it would require a large multimodal model trained on extensive robot demonstration and teleoperation data, plus simulation and real-robot evaluation. It also needs a large GPU training cluster and robotics research expertise. Vibe coding cannot produce the model itself.

Competitors

Other products that read as similar to this one : 343 launches clear the similarity bar, closest 8 shown.

Attention rank: #191 of 344 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 372 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.