From answers to understanding
Google's largest and most capable AI model. Built from the ground up to be multimodal, Gemini can generalize and seamlessly understand, operate across and combine different types of information, including text, images, audio, video and code.
Gemini can understand, explain and generate high-quality code in popular programming languages like Python, Java, C++, and Go, helping developers work across languages and reason about complex information.
Gemini is optimized for three different sizes (Ultra, Pro, Nano) and can efficiently run on everything from data centers to mobile devices, enabling flexible deployment and on-device task execution.
Gemini's sophisticated multimodal reasoning capabilities help users make sense of complex written and visual information simultaneously, extracting insights from hundreds of thousands of documents through reading, filtering and understanding information at digital speeds.
Gemini understands text, images, audio and more at the same time, making it especially skilled at explaining reasoning in complex subjects by providing nuanced understanding of complicated topics.