Gemini is Google’s family of artificial intelligence models and the assistant built on top of them. It replaced Bard, Google’s earlier chatbot, in early 2024, and by late 2025 it had become the core of Google’s AI strategy across search, Workspace, Android and its cloud business. On November 18, 2025, Google released Gemini 3, which the company calls its most capable model so far.
This explainer covers what Gemini does, how the model lineup is organized and where ordinary users encounter it.
Built to handle more than text
The defining feature of Gemini is that it is multimodal, meaning it was trained from the start to work with text, images, audio, video and code together rather than treating text as the primary input. In practice, a user can paste a YouTube link and ask for a summary, upload a photo and ask what it shows, or ask a question about a recorded voice note.
The Gemini app can also pull current information from Google Search when a question depends on recent events, which reduces the problem of a model answering from stale training data. Google says Gemini 3 improves reasoning, coding and the handling of long documents compared with earlier versions.
Where it shows up
Google has wired Gemini into most of its consumer and business products:
- Gmail: drafting and summarizing emails.
- Docs: generating and rewriting text inside a document.
- Sheets: analyzing data and building formulas from a plain-language request.
- Drive: finding information across stored files by asking a question.
- Android: Gemini has replaced Google Assistant as the default assistant on many phones, where it can be controlled by voice and act within other apps.
Workspace customers received access to Gemini 3 Pro in the Gemini app in November 2025, according to Google’s Workspace Updates blog.
The model lineup
Google offers Gemini in several sizes so that it can run in different places. Gemini Nano is the smallest version and runs directly on a phone without an internet connection, powering features such as on-device summaries and smart replies. The Flash models are built for speed and low cost, which makes them the default for high-volume tasks. The Pro models are the most capable and are aimed at complex reasoning, coding and research. Google also sells a premium subscription, Google AI Ultra, that gives individual users the highest usage limits and earliest access to new features.
Developers reach the same models through Google AI Studio and Google Cloud’s Vertex AI platform, which is where much of Gemini’s business adoption happens.
Who uses it
Because it is free at a basic level with a Google account, Gemini has a broad user base. Students use it to work through math problems, professionals use it to draft reports, programmers use it to write and debug code, and content creators use it to brainstorm. The image and video understanding features also make it useful for everyday questions, such as identifying an object from a photo.
Gemini competes directly with OpenAI’s ChatGPT, Anthropic’s Claude and other assistants, and the competition among them has driven rapid releases throughout 2025. For a user deciding whether to try it, the main advantage Gemini offers is its integration with Google’s own services, which is where most of its day-to-day usefulness comes from.
