Google just released its latest base modeland yes – it's a doozy. The company claims Gemini 3 is the “smartest model” ever, enabling deep reasoning, multimodal interactions, and even complex coding processes.
Throughout the day, from the moment you wake up as a developer until the moment you go to sleep with your email (or side project code), it should be in Gemini 3.
Google says it already has more than 650 million monthly users of the Gemini app and about 13 million developers who actively use its models.
It's the kind of head-scratcher that the benchmark numbers already promise. Based on the “Last Exam of Mankind,” Gemini 3 achieved a score of 37.4, higher than the previously reported best score (31.64) for overall reasoning levels found on Mercury and during the “Space Tour.”
The exams weren't the only warm-up, though – the model outperformed other finalists at the LMArena and in other tool-use areas, indicating that Google was tweaking the specs rather than simply outdoing the competition – she made a full jump in the corner.
What really caught my attention: new coding interface known as “Antigravity”. This is not an ordinary autofill tool.
It's an “agent-first” development space designed for Gemini 3 to run seamlessly across editor, terminal, browser, and truly multi-step projects.
Imagine: build a web application, debug it, deploy it – and the directions will guide you, not just suggest you do these things.
Let's slow down: While this is exciting, there are a few caveats. Second, these raw benchmark results don't always predict what it's like to live with the device.
And as many in the AI world will quietly admit, we may be entering an era of “LLM hype” where promise exceeds delivery.
If that's not enough, if you're deploying a model this quickly and at this scale – search, application, development tools – the stakes are higher: the model must be reliable and secure from day one (and ethical).
The way I see it: this launch is about more than just product updates and features; it's a bit like Google changing the way AI impacts developer workflows and everyday lives.
The cry “every idea for life” is audacious and, in some respects, necessary. If AI is to be built into the way we build, learn and create, we need more intelligent systems.
Will Gemini 3 change computing as we know it, or is it just another high-scoring headline? Time will tell – but for now, the stakes have been raised.
