Google Gemini

Gemini is Google’s flagship family of AI models and the assistant built on top of them. Designed as natively multimodal — trained from the start on text, images, audio, video, and code rather than having those senses bolted on later — Gemini spans a range of sizes, from fast, low-cost models for high-volume work to deep-reasoning flagships, plus long context windows that can hold entire codebases or hours of video in a single prompt. It also powers the AI features woven through Google Search, Android, and Workspace apps like Gmail and Docs.

Gemini matters to you because it’s one of the few frontier model families where enormous context and true multimodality come standard. If your product needs to answer questions about a video, extract data from scanned PDFs, or reason over hundreds of pages of documentation without a retrieval pipeline, Gemini often gets you there with a single API call. Its integration into products used by billions also means your users increasingly expect Gemini-style capabilities everywhere.

You’ll use this knowledge in two ways: as a daily driver — the gemini.google.com app and Workspace integrations are genuinely useful for research, drafting, and analyzing files — and as a build target, where you’ll pick a Gemini tier the same way you choose between other providers’ fast and flagship models. Knowing what Gemini uniquely handles well tells you when to reach for it over the alternatives.