Come try it @ aistudio.google.com/live!

🚀 We just released Gemma 4 Quantization-Aware Training (QAT) model checkpoints. What this means for developers: 🧠 Sharp performance retention 🗜️ Smaller memory footprints ⚡ Major efficiency boosts on mobile & laptops

And one more great model added to the family – enjoy building with it!

Big news for developers! Introducing Gemma 4 12B—high-performance, multimodal intelligence designed to run directly on your laptop. 💻✨ - Unlock new possibilities for your projects with this unified, encoder-free model. 🛠️🤖 - New MacOS desktop app powered by LiteRT - MTP support 🚀

Celebrating the milestone of a massive 150 million downloads of Gemma 4 with the release of the new Gemma 4 12B model! It's incredibly powerful for such a small model and it’s tiny enough to run locally on a laptop with just 16GB VRAM. Apache 2.0 license - happy building!

Today we’re introducing Gemma 4 12B — our latest open model that brings advanced agentic reasoning, vision and audio directly to your laptop. It delivers performance nearing our larger Gemma models with a much smaller total memory footprint, while being small enough to run locally with just 16GB of VRAM. It’s open and accessible for everyone to use under a permissive Apache 2.0 license. This is all made possible by our new, unified architecture that removes separate multimodal encoders. Here’s how we did it 🧵

Gemma 4 adoption numbers outpacing Qwen 3.5/3.6 for the same sized models is a big shift in the international balance of influence via open models.

Very excited that @GoogleAIStudio is coming to mobile (both Android and iOS) with native apps! We rebuilt the vibe coding experience to bring it to even more people in a form factor that feels approachable simple iOS: apps.apple.com/us/app/google… Android: play.google.com/store/apps/d…

Gemini daily brief is so good, it’s what we basically dreamed Google Now would become

Antigravity Agent and Gemini Managed Agents are now rolled out to all users in @GoogleAIStudio and Gemini API. Links below⤵️

Today we launched Managed Agents in the Gemini API. I’ll be sharing a deeper technical deep-dive on this one, but the headline is this: we’ve collapsed a massive amount of complexity into a single API call. You can now call into managed agents the same way you call models, using the same API. A single call gives you an autonomous agent that works in a remote linux environment on your behalf. Crazy times :) Read more here: blog.google/innovation-and-a…

I'm excited to introduce Managed Agents in the Gemini API. One API call gives you a full agent with code execution, web browsing, and file management in an isolated sandbox. - Powered by Gemini 3.5 Flash and Google's Antigravity harness - Runs Bash, Python, and Node.js in isolated sandboxes - Define custom agents with AGENTS.md and SKILL.md files - Mount GitHub repos, GCS buckets, or inline files into environments

More integrations between Antigravity and Gemini API for easy managed agents!

Gemini Spark ✨ is a personal agent that doesn't just chat but acts! It runs in the cloud so it keeps working even when you close your laptop or put away your phone. A few favourite use cases so far 1. Helps getting to inbox zero 2. Research a complex family vacation 3. Build project update slides 4. Keep tabs on an item that's out stock and notify me when it's available again

One more thing! Tune in. 🤖

Today at Google I/O, we introduced Gemini 3.5 Flash! It has become an integral part of our daily research cycle and works with all the tools we have at Google. We used a team of agents in Antigravity 2.0 to recreate the original AlphaZero research paper and build a playable version. They coded the reinforcement learning pipeline in JAX/Flax, trained a ResNet model from scratch via self-play on multi-TPU pods, and shipped a full-stack web app so you can play against it, from just 2 prompts. . Here’s what else makes 3.5 Flash special 🧵

We are unifying our agentic surfaces to @antigravity 🚀 🔹 Antigravity 2.0 (desktop app) 🔹 Antigravity CLI 🔹 Antigravity SDK 🔹 Antigravity IDE One harness, wherever you need it. Read all the exciting news from I/O below 👇

Today, we introduced Gemini 3.5 Flash ⚡ Our most capable coding and agentic model — where "fast" and "best" aren't a tradeoff. Try it now across Antigravity, AI Studio, Gemini App, and AI Mode.

Just off stage at #GoogleIO, some highlights from this morning 🧵 Gemini 3.5 Flash is available today for everyone in @antigravity and across our products and APIs. Compared to 3.1 Pro, 3.5 Flash is better across almost all benchmarks with huge progress in coding. It’s also comparable to the best models but very fast (4x faster tokens/ second than other frontier models). And when looking at the intelligence versus output speed, it’s in a league of its own in the top right quadrant.