Gemini 3 Pro: A Plain-English Tour of the Sparse-MoE, 1-Million-Token, Multimodal Engine Audience: college-level readers, junior developers, product managers, data analysts Reading time: 15 min Take-away: you will know exactly what the model can do, how to call it, and where it still stumbles 1. Why another model? Three everyday pains Pain Gemini 3 Pro fix “My document is 500 pages and the chat forgets the middle.” Native 1 M token window (≈ 750 k words). “I need code, images and sound in one workflow.” Single set of weights—text, image, audio, video. “GPT-4 is great but burns my GPU budget.” …