Google Gemini is a family of multimodal, large Language models (Large Language Models, LLMs), Developed by Google DeepMind, it is a highly sophisticated Generative AI system, which is positioned as the successor to Google's earlier models such as LaMDA and PaLM 2. Gemini was designed to simulate human-like conversations and process complex requests.
Multimodal capabilities and model variants
A core feature of Google Gemini is its multimodality. This means that the algorithm can not only process and generate text, but also natively understands, interprets and combines images, audio, video and computer code. For example, users can feed Gemini with a mixture of text, images and videos, whereupon the model generates coherent and relevant answers.
Google offers Gemini in various sizes to cover different areas of application:
- Gemini Ultra: The largest and most powerful model for highly complex tasks.
- Gemini Pro: A scalable model, optimized for a wide range of tasks and large-scale use. The stable version Gemini 2.5 Pro was released on June 17, 2025.
- Gemini Nano: The most efficient variant, specially designed for use on devices (On-device tasks), such as on Google Pixel smartphones.
- Gemini Flash: A lighter, faster and more cost-effective variant, which was released as Gemini 2.5 Flash on June 17, 2025.
The Gemini models use a transformer architecture and have long context windows. Gemini 1.5 Pro can process up to 2 million tokens, which corresponds to the content of around 1,500 pages, 30,000 lines of code or 700,000 words. This enables the model to analyze extensive documents, reports or code repositories and answer complex questions about them.
Integration and applications in the Google ecosystem
Gemini is deeply integrated into numerous Google products and services and acts as a AI assistant. It supports users in writing, brainstorming, learning and planning. In Google Workspace, for example, Gemini helps with writing emails and documents in Gmail and Google Docs, summarizes meeting notes in Google Meet and analyses data in Google Sheets.
Gemini also expands functionality in the area of end-user devices: it can replace the Google Assistant on Android smartphones as the primary assistant, generate images and videos and retrieve information from the Google ecosystem (e.g. Google Maps, YouTube). In the smart home, Gemini will be introduced as „Gemini for Home“ and will replace the Google Assistant on smart displays and speakers to enable more natural and intuitive interaction. For Developer and companies can access the Gemini models via APIs and platforms such as Google Cloud Vertex AI to create their own AI applications to create and scale.
