Turn simple product photos into pro studio imagery instantly
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 1.0 is optimized in three sizes—Ultra for complex tasks, Pro for scaling across tasks, and Nano for on-device efficiency. This flexibility allows seamless deployment across different computational environments without sacrificing capability.
Gemini Ultra achieves 90.0% on MMLU (massive multitask language understanding) covering 57 subjects including math and physics, outperforming human experts. Its reasoning capabilities allow it to think carefully before answering difficult questions, making it uniquely skilled at explaining complex subjects.
Gemini is natively multimodal and pre-trained from the start on different modalities. It seamlessly understands and reasons about all kinds of inputs, achieving state-of-the-art performance on multimodal benchmarks. This enables users to extract insights from complex written and visual information at digital speeds.
Gemini's sophisticated multimodal reasoning can read, filter, and understand information from hundreds of thousands of documents. Its ability to uncover knowledge difficult to discern amid vast amounts of data helps deliver breakthroughs in fields from science to finance.
Gemini can understand, explain, and generate code in popular languages like Python, Java, C++, and Go. Its ability to work across languages and reason about complex information makes it effective for developers building and scaling AI applications.