The AI war just went nuclear.
Forget incremental upgrades and predictable patches. This week, Google DeepMind didn’t just release a new model; they released a new era. Gemini 3 Pro is here, and it’s not just about better numbers—it’s about a fundamentally different level of intelligence. But the real game-changer for developers and power users isn’t just the model itself. It’s the platform it powers: the deeply transformative Google Antigravity.
I’ve had a few days with the preview access, and I’m ready to tell you why Gemini 3 Pro is the most intelligent AI I’ve ever used, and why Antigravity is about to redefine software development.
Gemini 3 Pro—The Leap in Intelligence
Google is calling Gemini 3 their “most intelligent model,” and for once, the corporate hyperbole matches the reality. This model isn’t just fast; it’s deep.
1. PhD-Level Reasoning and Nuance
The raw benchmark scores are insane. Gemini 3 Pro has climbed to the top of the LMArena Leaderboard with an Elo score of 1501, and it’s posting staggering results on advanced reasoning tests like the Humanity’s Last Exam. What this means in practice is that the model can handle multi-layered, ambiguous, and highly complex problems with a degree of reliability we’ve simply never seen before.
It’s the difference between an AI that gives you a confident answer and an AI that actually understands the underlying context and potential pitfalls. This enhanced nuance means less “prompt engineering” and more simply asking the AI what you actually want.
2. True Multimodal Mastery (Hello, Video-MMMU)
Gemini 3 is natively multimodal, which isn’t new, but the fidelity is. It seamlessly processes text, images, audio, video, and code.
- Video Analysis: With a score of 87.6% on the Video-MMMU benchmark, this model can look at an hour-long video lecture, understand the dynamic events, the transcript, and the visuals, and then, for example, generate runnable code to create interactive flashcards for studying that content.
- Code as a Modality: It treats code not just as text, but as a structural language it can reason over. It can analyze an entire code repository, understand the logic, and then generate documentation or even debug performance issues.
3. The Promise of Deep Think
And then there’s Gemini 3 Deep Think. Currently rolling out to Ultra subscribers, this is essentially an enhanced reasoning mode. It pushes the model’s capabilities for high-stakes, iterative tasks that require strategic planning and self-correction. If Pro is your super-smart coworker, Deep Think is the genius architect who plans the entire project before laying the first brick.
Google Antigravity—The Developer’s New Operating System
While Gemini 3 Pro is the brain, Google Antigravity is the nervous system. This isn’t just a new IDE or a chatbot for coding; it’s Google’s new agentic development platform, and it fundamentally changes the human-AI interaction in software development.
What is Antigravity?
Antigravity is an integrated environment where the Gemini 3 agent lives and operates. It breaks down the barriers between the key tools a developer uses:
- Code Editor: Where the code is written and revised.
- Terminal/CLI: Where the code is executed, tested, and where system commands are run.
- Browser/Preview: Where the application is viewed and validated.
How Does the Agent Work?
The Gemini agent inside Antigravity is designed to act as a highly capable junior developer. You don’t just ask it to write a function; you give it a multi-step task, and the agent plans and executes the entire workflow independently, while you watch.
Example Task: “The ‘Save Changes’ button in our staging service is slow. Investigate the service logs, find the performance bottleneck, and generate a pull request with the fix.”
Antigravity Workflow:
- Plan: The agent breaks the request down into a dozen sub-tasks (e.g., Check Cloud Run metrics, run a Snyk security scan, perform a Git Bisect).
- Execute: It uses the terminal pane to run complex shell commands (thanks to Gemini CLI integration) to pull logs and data.
- Reason: It analyzes the output, pinpoints the line of inefficient code (using Gemini 3’s reasoning core).
- Edit & Validate: It automatically edits the code in the editor pane, runs local tests, and validates the fix in the preview browser pane.
- Deliver: It presents the solution and the steps taken, allowing you to approve the final change.
This is the power of agentic coding. It’s not just about generating snippets; it’s about delegating complex, end-to-end problems to an AI that can plan, coordinate tools, and self-correct.
The Bottom Line
Gemini 3 Pro isn’t just keeping up with the competition—it’s setting a new pace. The jump in reasoning is undeniable, making it the most capable model for complex synthesis, analysis, and problem-solving.
But the true revelation is Antigravity. By merging the AI with the core tools of development, Google has created an environment where the agent can truly operate, transforming the dream of an AI coding partner into a reality. This is a massive step towards what DeepMind CEO Demis Hassabis calls a path toward AGI. Get ready, the way we build software is about to change forever.