Google's Next AI Model Shows Remarkable Coding Abilities

Recent leaks about Google's upcoming Gemini 3.5 artificial intelligence model reveal surprising capabilities that could revolutionize how developers work. The information, shared by blogger Pankaj Kumar on social media platform X, shows an internal test version called "Snow Bunny" that can apparently build complete applications with remarkable efficiency.

Breaking Down the Leaked Features

The most eye-catching detail? This advanced AI can generate up to 3,000 lines of executable code from just one prompt. That's enough to create substantial portions of software applications instantly. But Google appears to be taking things further by developing specialized versions:

• Fierce Falcon: Optimized for raw speed and logical problem-solving
• Ghost Falcon: Specializes in UI design and multimedia creation

At its core, Gemini 3.5 introduces what Google calls "System2 Reasoning" - essentially giving the AI a "deep think" mode where it pauses to analyze complex problems before responding. Early tests suggest this approach yields impressive results, with the model reportedly scoring 80% on difficult logic tests.

How It Stacks Up Against Competitors

The leaked documents make bold claims about performance comparisons:

"In benchmark tests, Gemini 3.5's reasoning score (80%) significantly outperforms competing models like GPT-5.2 and Claude Opus4.5 (both around 55%)."

While Google hasn't officially confirmed these details, code snippets referencing gemini-for-google-3.5 suggest the API might be nearly ready for release.

Key Points:

• Snow Bunny Project: Internal model generates extensive functional code instantly
• Deep Reasoning Architecture: New "System2" thinking improves complex problem-solving
• Specialized Models: Separate versions optimized for speed/logic vs creative tasks
• Competitive Edge: Leaked benchmarks show significant performance advantages