Google's Gemini 3 Pro Is Here, and It's a Beast

Gemini 3 Pro achieves top ELO scores, strong AGI benchmarks and agentic coding with Antigravity support — available in Google’s Gemini app now.

So, finally... after what felt like forever (seven months, to be exact), Google has pulled back the curtain on Gemini 3 Pro. And honestly? It looks like the wait might’ve been worth it.

Here’s the thing: this isn’t just another incremental update. Google is calling Gemini 3 “a suite of highly-capable, natively multimodal, reasoning models,” which is tech-speak for “this thing can think, see, and understand pretty much like we do.” They’re even tossing around the phrase “another big step toward AGI.” Big words. But the numbers? They’re backing it up.

What Makes Gemini 3 Pro Tick?

First, let’s talk architecture. Weirdly, that’s where things get interesting. Gemini 3 Pro is built on a sparse mixture-of-experts (MoE) framework, sitting on top of the familiar Transformer architecture.Translation: it’s smart enough to only use the parts of its “brain” that are actually needed for a task, making it ridiculously efficient. Oh, and Google trained it exclusively on their own TPUs. No outsourcing here. That’s like a master chef refusing to let anyone else touch their signature dish.

The Benchmarks Are Kind of Insane

Let’s get into the nitty-gritty, because this is where jaws start dropping.

Humanity’s Last Exam: sounds dramatic, right? It kind of is. It’s one of the toughest AI tests out there. Gemini 3 Pro scored 37.5% without using any external tools. That might not sound like much, but OpenAI’s GPT-5.1? Only managed 26.5%. That’s not just a win; it’s a statement.

And it doesn’t stop there:

• LMArena: Gemini 3 Pro grabbed the #1 spot with an ELO score of 1,501. King of the hill.
• ARC-AGI-2: Another brutal test. Gemini hit 31.1% while GPT-5.1 trailed at 17.6%.
• SWE-Bench Verified: The tightest race! Gemini scored 76.2%, just a hair behind GPT-5.1’s 76.3%. (Though Anthropic’s Claude Sonnet 4.5 still leads this one at 77.2%, so it’s not a total sweep.)

But wait! There’s an even smarter version in the works.

Deep Think: For When “Pro” Isn’t Enough

Google teased something called Gemini 3 Deep Think, and it’s apparently the overachiever of the family. This one scored 41% on Humanity’s Last Exam and a whopping 45.1% on ARC-AGI-2. It’s not widely available yet, but Google says it’s coming to AI Ultra subscribers. Because of course the ultra-smart version goes to the Ultra tier.

Then there’s the whole agentic coding angle. Gemini 3 Pro is already dominating WebDev Arena with a 1,487 ELO score. It can handle long-horizon planning. In other words, it doesn’t just write a snippet of code, it can map out and execute complex, multi-step tasks. A proper digital assistant, not just a glorified autocomplete.

They’re also launching something called Gemini Agent for Ultra subscribers soon. If you’ve ever wanted an AI that can literally plan your project and execute it while you grab coffee… well, we’re getting close.

Antigravity: A New Playground for AI Agents

Google also unveiled Antigravity, which sounds like a codename from a spy movie but is actually an “agent-first development environment.” It bundles Gemini 3 Pro with the Gemini 2.5 Computer Use model and something called Nano Banana for image generation. The kicker? Agents can directly control your editor, terminal, and browser to plan tasks and run code.

It’s basically giving AI the keys to your development environment. What could possibly go wrong? (Kidding. Mostly.)

How You Can Actually Use This Thing

Alright, here’s where it gets practical. Gemini 3 Pro is rolling out right now in the Gemini app for everyone. But if you’re a Pro or Ultra subscriber? You get access to the new model in AI Mode within Google Search. So yeah, the smartest AI Google has ever built could soon be answering your random 2 a.m. questions about the lifecycle of tardigrades or how to optimise a React component.

My Two Cents? I Want In.

Look, I’ve been tinkering with AI tools for years now. Some are meh, some are pretty good, but every so often something comes along that makes you sit up and pay attention. This feels like one of those moments. The benchmarks are one thing, but the promise of real, useful AI agents that can handle complex tasks? That’s the holy grail we’ve been promised for ages.

I’m not gonna lie... I wish I could get my hands on this latest AI right now. Like, yesterday. The idea of having an AI that can actually reason through problems, help with coding, and maybe just maybe... help me finally organise my chaotic digital life? Sign me up.

The Bottom Line

Google’s Gemini 3 Pro isn’t just keeping up with the competition; it’s setting a new pace. Whether it’s acing brutal exams, dominating leaderboards, or powering next-gen AI agents, this model is making serious waves. The AI race just got a lot more interesting, and we’re all invited to watch and use it unfold.

What do you think? Are you excited to try Gemini 3 Pro, or are you still team GPT/Claude? Drop a comment below. I’d love to hear which AI you’re rooting for (and why). And if you’ve already taken it for a spin, share your experience! Let’s figure out together if this thing is really as good as the hype suggests.