Gemini

Gemini runs on Google's own multimodal model, which means it doesn't just handle text. It processes images, audio, video, and documents within the same conversation. You can drop a screenshot into the chat, ask a follow-up question about a PDF, then request a code snippet, all without switching tools or context. That cross-modal reasoning is the core mechanic, and it's what separates Gemini from single-modality assistants.

What makes the architecture practically useful is how it connects to Google's existing infrastructure. Gemini ties directly into Google Search for live information retrieval, so you're not stuck with a frozen knowledge cutoff when you need current data. It also integrates natively with Gmail, Docs, Sheets, and Drive, which means if you already live in Google Workspace, Gemini isn't a bolt-on. It's woven into the tools you're already using. On Android, it can replace Google Assistant entirely, handling system-level tasks like reminders and on-screen queries.

Developers get access to the underlying models through Google AI Studio and the Gemini API, with distinct tiers: Gemini Flash for speed-sensitive tasks, and Gemini Pro and Ultra for heavier workloads. The free tier covers the base model via web and mobile. Gemini Advanced. The version with the most capable models, longer context windows, and deeper Workspace integrations. Sits behind a Google One AI Premium subscription at around $15 per month. Enterprise access runs through Google Workspace and Google Cloud agreements separately.