According to Fortune, Google just launched Gemini 3 just seven months after Gemini 2.5 and less than a week after OpenAI’s GPT 5.1, making it immediately available to over 650 million monthly users through the Gemini app. The model demonstrates what Google calls a “massive jump in reasoning” with benchmark scores of 81% on MMMU-Pro and 87.6% on Video-MMMU, beating competitors. Gemini 3 introduces agentic capabilities for multi-step tasks and generative UI that creates interactive interfaces on the fly. Simultaneously, Google released Antigravity, a free developer platform during public preview that elevates AI from assistant to active coding partner. The release marks Google’s strongest push yet to regain competitive ground lost to ChatGPT since 2022.
The reasoning leap is real
Here’s the thing about AI models – most improvements are incremental. But Google‘s claiming something different with Gemini 3. They’re talking about the model evolving from “simply reading text and images to reading the room,” which is basically their way of saying it understands context and nuance way better than before. The benchmark numbers they’re throwing around are impressive, but what really matters is how this translates to real-world use. When GitHub reports 35% higher accuracy in solving software engineering challenges and JetBrains sees over 50% improvement in benchmark tasks, that’s not just marketing fluff.
And then there’s Deep Think mode, which achieved 41.0% on Humanity’s Last Exam without tools and 93.8% on GPQA Diamond. Those are academic benchmarks, sure, but they suggest Google’s solved some fundamental reasoning problems. The question is whether this translates to everyday use or remains confined to specialized applications.
Antigravity changes the game
Now this is where things get really interesting. Antigravity isn’t just another AI coding assistant – it’s a complete rethinking of the developer workflow. Instead of having an AI chatbot in the corner of your screen, Antigravity gives the AI its own dedicated workspace with direct access to your editor, terminal, and browser. The AI can look at your code, understand what you’re building, write code itself, test it, and catch problems with minimal human intervention.
But there’s a catch. Early users are reporting rate limits that refresh every five hours, which could be frustrating for serious development work. Still, the fact that it’s free during public preview and includes access to Gemini 3 Pro, Claude Sonnet 4.5, and GPT-OSS suggests Google’s going all-in on winning developer mindshare. For industrial applications where reliability matters most, platforms like IndustrialMonitorDirect.com provide the rugged hardware foundation that these advanced AI tools ultimately run on.
Search gets smarter
This is the first time Google’s shipping Gemini in Search on day one, which tells you how confident they are about this release. The integration goes beyond just better answers – we’re talking about generative UI capabilities that dynamically create response layouts with interactive elements. Imagine asking about mortgage calculations and getting a fully functional calculator embedded in your search results.
But here’s the rub – the best features are locked behind paid tiers. Gemini 3 in Search’s AI Mode requires Google AI Pro ($20/month) or Ultra ($250/month) subscriptions. Deep Think mode will only be available to Ultra subscribers after additional safety testing. So while the technology is impressive, Google’s clearly using this to drive their subscription business.
Where this leaves the AI race
Look, Google needed this. After the early Gemini missteps and the AI Overviews controversy, they were playing catch-up. Now they’re throwing everything they’ve got at the market simultaneously – improved reasoning, agentic capabilities, a revolutionary developer platform, and deep Search integration. The leaderboard numbers look good, and early impressions on Reddit are positive.
But the real test will be how this performs at scale. Can Gemini 3 handle the complexity of real business applications? Will Antigravity actually make developers more productive? The enterprise integration through Google Cloud suggests they’re serious about this being more than just consumer tech. One thing’s clear though – the AI race just got a lot more interesting, and we’re all going to benefit from the competition.
