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The Gemini app is now available directly on Apple CarPlay. iOS users can have free-flowing conversations with Gemini Live right from their car’s display, hands-free. Use Gemini in CarPlay to catch-up on what you have coming up in your schedule, talk through your inbox, or brainstorm out loud. Tap the Gemini icon on your CarPlay display on your next drive to try it out 🚘

So how do your questions turn into a decision? Instead of asking a model to describe a photo, you give it a checklist of yes/no, multiple-choice, and rating questions so it knows what to check and what action to take. Here, Gemini Decision 1 scans 100 delivery photos in 4.5 seconds (nearly 4x faster than Gemini 3.5 Flash-Lite), answering 16 questions per photo at once: 📦 Is the box damaged? (yes/no) 🌧️ Is it under a porch? (yes/no) ⭐ What's the delivery quality? (0 to 3 rating) ⚡ What happens next? (routes to a claim review)

Most models are built to generate text, creative content, or reason step-by-step. But not every task needs a written answer. When a workflow or agent just needs to make a quick call, the Decisions API returns calibrated confidence scores (150–250 ms end-to-end) at $0.10 per 1M input tokens, making it nearly 5x more cost-efficient across the shared benchmark suite than Gemini 3.5 Flash-Lite with the Interactions API.

We're introducing the Gemini Decisions API in @GoogleAIStudio, powered by our new Gemini Decision 1 model. Instead of generating a text response token by token, Gemini Decision 1 evaluates your input (across text, images, audio, video, and PDFs) against up to 1,000 questions to make fast, confident decisions in a single pass, with zero output tokens billed. Here's a look at how it works 🧵

Introducing Tabletop, a collaborative space from @GoogleLabs where you can create custom tools to build, plan, and do more with your friends, family, or club. Send an invite to your group and start a shared hub where everyone can contribute simultaneously for your next trip, potluck, or fantasy league. You can create live dinner polls, trip itineraries, expense splitters, and sports brackets tailored to your group.

In testing Gemini Robotics 2.5, we evaluated the model across 200 distinct tasks — such as serving food with tongs, tying a bow on a gift box, and pipetting a liquid. These tasks represent a step toward human-level dexterity by combining a number of skills, including advanced tool use and handling delicate objects with ease. Our evaluations also show significant increases in task precision, robustness, and speed. Compared to previous baselines, Gemini Robotics 2.5 achieves a 30% to 100% higher success rate depending on the type of task, while completing tasks 20% to 30% faster.

Introducing Gemini Robotics 2.5, our most capable vision-language-action (VLA) model to date. 🤖 It increases both the breadth of skills a robot can learn and the speed at which it acquires them — helping robots step out of the lab and into real-world environments. Learn more about Gemini Robotics 2.5, now rolling out to our robotics partners 🧵

Complex materials research is much easier to grasp when you can interact with the underlying math 🧶 From a 2026 study on knitted textile mechanics, Gemini 4 Carbon built an interactive 3D visualizer in @Antigravity tracking 110 individual fibers under tension.