A family of multimodal models
Gemini AI is a family of generative artificial intelligence models developed by Google DeepMind. Rather than working only with text, the models are designed to process and generate different kinds of content, including text, images, audio, and video. This multimodal capability enables them to combine modes in conversational, search, and content-creation tasks.
The family was introduced in December 2023, initially with versions aimed at different needs: Ultra for complex tasks, Pro for balanced performance, and Nano for efficient on-device processing. The versions and their capabilities have evolved since then, but the central idea remains the same: models that can handle multiple modalities and different levels of task complexity.
Models, uses, and differences
Broadly, the variants are tuned for different priorities. Pro versions are associated with more complex tasks and advanced reasoning; Flash aims to balance performance with speed and efficiency at scale; and Nano was designed to run efficiently on devices. “Gemini” therefore does not refer to one model with identical capabilities in every product: the available version and what it can do depend on the implementation.
Gemini AI is also associated with Google products and tools, including the Gemini app and services for developers. The family can be used in conversational experiences, search features, and creative generation. The available material describes an evolution that includes the Gemini 3 series and, as of October 2026, Gemini 4 Argon, announced on September 30 of that year and initially rolling out to selected partners. The source reports a one-million-token output limit for that model, while noting that Google has not publicly disclosed its parameter count. These details are specific to that version and should not be generalized to the entire family.