Gemini 3 Pro inside Antigravity: How Smart is It Really?

When Google announced Antigravity, the headline wasn't just the IDE; it was the brain inside it: Gemini 3 Pro.

For the last year, developers have been debating: GPT-4o or Claude 3.5 Sonnet?
Gemini was often a distant third. But with the release of Gemini 3 Pro, Google claims to have leapfrogged the competition, specifically for coding tasks.

In this analysis, we look at why Gemini 3 Pro is the secret weapon of the Antigravity IDE.

1. The Context Window: “Infinite” Memory

The biggest limitation of AI coding has always been context. If you have a large codebase (100+ files), most models can't “see” all of it. They hallucinate functions that don't exist or forget imports.

Gemini 3 Pro changes the game with a 2 Million Token Context Window.
To put that in perspective:
* GPT-4o: ~128k tokens (approx. 300 files).
* Gemini 3 Pro: ~2M tokens (approx. 5,000 files).

This means Antigravity can hold your entire repository, plus the documentation for your framework, plus your style guide, all in its working memory. It doesn't need to “search” for context; it has it.

2. Agentic Reasoning

Most LLMs are trained to be chatbots. They are good at conversation.
Gemini 3 Pro was fine-tuned for Agency. It is trained to:
1. Plan: Break a vague goal (“Fix the login”) into steps.
2. Act: Use tools (Terminal, File System, Browser).
3. Reflect: Look at the output of its action and decide if it succeeded.

This “Looping” capability is what makes the Mission Control view in Antigravity possible. A standard model would give up after one error. Gemini 3 Pro tries a different approach.

3. Multimodality (Vision)

Gemini 3 Pro is natively multimodal. It doesn't just see text; it sees pixels.
This is crucial for frontend development. When Antigravity opens its internal browser to test your app, Gemini 3 Pro is literally “looking” at the screen.
* It can see if a button is misaligned.
* It can see if the text contrast is too low.
* It can see if an image failed to load.

This allows it to fix UI bugs that a text-only model would never catch.

The Benchmark: Gemini vs. Claude vs. GPT

| Feature | Gemini 3 Pro | Claude 3.5 Sonnet | GPT-4o |
| :— | :— | :— | :— |
| Context | 👑 2M Tokens | 200k Tokens | 128k Tokens |
| Coding Logic | Excellent | 👑 Superior | Very Good |
| Speed | 👑 Very Fast | Fast | Fast |
| Agentic Loop | 👑 Native | Good | Good |

Verdict: Claude 3.5 Sonnet might still have a slight edge in pure logic/reasoning for complex algorithms. But for Agentic Workflows inside an IDE, Gemini 3 Pro's context and speed make it the winner.

Conclusion

Gemini 3 Pro is not just a chatbot; it is an engine for autonomous software development. By integrating it deeply into Antigravity, Google has created a tool that feels less like an editor and more like a senior engineer sitting next to you.

At BYS Marketing, we are leveraging this power to build smarter, faster, and more reliable software. The future of coding is here, and it has a 2 million token context window.

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