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What I’ve Learned About the Antigravity Models

I’ve spent a good chunk of time inside Google Antigravity lately, and I keep coming back to the same thought: the models you pick inside it matter almost as much as the platform itself. Antigravity isn’t just another AI coding tool bolted onto an editor. It’s built around the idea that you’re not writing code line by line anymore, you’re managing agents that write, run, and test code for you. And the model you hand that job to changes everything about how the work actually goes.

When Google first announced Antigravity alongside Gemini 3, the pitch was simple. Give developers a platform where autonomous agents could plan and execute entire coding tasks end to end, not just autocomplete a function here and there. That meant browser control, asynchronous workflows, and a genuinely agent-first way of building software. It felt like a real departure from the IDE I grew up using.

But the part that actually shapes my day to day experience is the model selector. Antigravity doesn’t lock you into one brain. You get a dropdown, an

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