Gemini 3: Google LLC’s Big Bet On Coding, Reasoning and the Future of AI

Google has just released its newest base model, and yep – it’s a doozy. The company claims Gemini 3 is its “smartest model” yet, which can do deep reasoning, multimodal interactions and even complex coding workflows.

For the whole day, from the time you wake up as a developer until you go to sleep with your email (or side-project code) it should be there in Gemini 3.

Google says it already counts more than 650 million monthly users for the Gemini app, and about 13 million software developers who are actively using its models.

It’s the kind of head-turning that benchmark numbers already promise. Based on “Humanity’s Last Exam”, Gemini 3 achieved a score of 37.4, higher than the previously reported best score (31.64) for general reasoning level found on Mercury and in “Space Tour”.

Exams were not its only warmup, however - the model beat other finalists on LMArena and another tool usage grounds, indicating Google has cranked up the specs, instead of just edging out competitors – they’ve gone Full Curve Jump.

What caught truly my attention: the new coding UI known as “Antigravity”. This isn’t just any old autocomplete tool.

It’s an “agent-first” development space designed for Gemini 3 to operate seamlessly from editor, terminal, browser - and tackle real multi-step projects.

Imagine: build a web app, debug it, deploy it – and the hints getting you there instead of merely suggesting that you do these things.

Let’s slow down: as exhilarating as this is, a few caveats. For another, those raw benchmark scores don’t always predict what it is like living with a device.

And as many people in the A.I. world will quietly acknowledge, we may be entering an age of “LLM hype,” where the promises outpace delivery.

If that’s not enough, when you deploy a model this quickly and at this volume – search, app, developer tools – the stakes are higher: it has to be reliable and secure on day one (and ethical).

Here’s how I see it: this launch is about more than product updates and features; it feels a bit like Google remolding the way AI filters into developer workflow and daily living.

The “any idea to life” rallying cry is a brash one, and in some ways it’s necessary. If AI is to be built into how we build, learn and create, we need more intelligent systems.

Will Gemini 3 change computing as we know it, or is this just another high-score headline? Time will tell – but for now, the ante has been upped.