Gemini is a family of multimodal artificial intelligence models developed by Google DeepMind for text, images, audio, video, coding, and reasoning.
What is Gemini?
Gemini is not one model. The family began with Nano, Pro, and Ultra tiers and has expanded into multiple releases that balance capability, speed, efficiency, and on-device operation.
How does Gemini work?
Gemini was designed to process more than one type of data within a model. Supported versions can understand text, images, audio, and video, generate answers or code, and use tools in multistep workflows.
Where is Gemini used?
Gemini models appear in the Gemini application, Google AI Studio, the Gemini API, Google Cloud, and selected Google consumer and enterprise services.
Strengths and limitations
The family combines multimodal capabilities, several performance tiers, and broad Google integration. However, models can make errors, and their limits, prices, and availability vary by version, product, and region.
In short
Gemini names Google DeepMind’s model family. Pro, Flash, Nano, and other labels identify tiers and releases within that family.