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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's native multimodal capabilities allow it to read, filter, and understand information from hundreds of thousands of documents simultaneously, extracting insights and generating new files that synthesize complex data across text, images, audio, and video.
Gemini was built from the ground up as a natively multimodal model, seamlessly combining text, code, audio, image, and video inputs to generate files that reflect comprehensive understanding across all modalities rather than stitched-together components.
Gemini understands and generates high-quality code in Python, Java, C++, and Go. Users can describe what they need and receive working code files, reducing manual coding time and enabling faster development workflows.
Gemini excels at explaining reasoning in complex subjects like math and physics, enabling users to generate educational or technical files that break down difficult concepts with clear, step-by-step explanations.