🚀 Gemini 3 Flash: The "Tiny Titan" of AI
If you’ve been following the AI space lately, you’ve likely seen the headlines about the latest "best" models. But according to both Theo (t3.gg) and Google’s latest developer updates, the real star isn't the massive "Pro" model, it's the scrappy, lightning-fast sibling: Gemini 3 Flash. Here is why this model is currently the most exciting thing in AI, blending Theo’s "vibe check" with Google’s official power-user specs.
1. 📈 Performance That Defies Logic
The most shocking part of Gemini 3 Flash is where it sits on the charts. It’s a "Flash" model, designed for speed and low cost, yet it is beating Gemini 2.5 Pro across many benchmarks.
- PhD-Level Reasoning: Google reports it scores a staggering 90.4% on GPQA Diamond, a benchmark for PhD-level reasoning.
- The Pelican Test: Theo notes it generated the first actually usable SVG of a pelican in Simon Willison’s famous benchmark, proving it has a massive leap in understanding physical space and shapes.
- Skatebench King: On Theo’s personal spatial reasoning benchmarks, 3 Flash outperformed almost everything except the most expensive reasoning models on the market.
2. 👁️ The Multimodal Edge
Where Google is truly "killing it" is native multimodal understanding. Gemini 3 Flash doesn't just read text; it natively "sees" and "hears" without needing clumsy plugins.
- Advanced Visuals: New features allow "code execution" to zoom, count, and even edit visual inputs.
- PDF Native: You can hand it a 900-page document with complex diagrams, and it reads the whole thing natively, no more converting to markdown and hoping for the best.
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