The AI model and Google product
Gemini can refer to more than one thing. In artificial intelligence, it refers to the family of multimodal models developed by Google DeepMind; Google Gemini is also the name associated with Google’s chatbot. The model and the chatbot are related, but they are not identical: the model is the underlying technology for processing information, while the chatbot is one way to interact with that technology.
The Gemini model family can process and reason across text, images, audio, video, and code. Google announced it in December 2023, initially in three sizes: Ultra, Pro, and Nano. The range was intended to cover uses from complex reasoning to on-device applications. Nano, for example, was described as a lightweight option for tasks such as summarization and smart features on supported Android devices, without relying on the cloud.
Later releases included Gemini 1.5, the 2.0 family, and the 3.0 series. The available evidence highlights an expanded context window in Gemini 1.5 but does not detail the capabilities of every release. It is therefore more accurate to understand Gemini as an evolving family rather than as one unchanging model.
Versions and availability
Within the Gemini 2.5 series, Flash has stable and preview versions. The stable version is described as fixed and recommended for production applications because of its reliability. Preview versions, including specialized options for real-time audio and controllable text-to-speech, offer newer improvements; they should not be confused with the stable release.
The evidence also records the announcement of Gemini 4 Argon on September 30, 2026, followed by staged availability beginning in October of that year for different audiences and products. Because access details vary by offering, it would be inaccurate to assume that every version is available to everyone or for every use.
Gemini does not refer only to Google’s AI technology: the name also appears in connection with a constellation, an observatory, a space program, and a communications protocol. Without context, the reference can be ambiguous. In discussions of AI, it is useful to distinguish the Gemini model family from the Google Gemini chatbot.