Gemini: a family of highly capable multimodal models

Diana Mincu

Abstract:

This report introduces a new family of multimodal models, Gemini, that exhibit remarkable capabilities
across image, audio, video, and text understanding. The Gemini family consists of Ultra, Pro, and Nano
sizes, suitable for applications ranging from complex reasoning tasks to on-device memory-constrained
use-cases. Evaluation on a broad range of benchmarks shows that our most-capable Gemini Ultra model
advances the state of the art in 30 of 32 of these benchmarks — notably being the first model to achieve
human-expert performance on the well-studied exam benchmark MMLU, and improving the state of the
art in every one of the 20 multimodal benchmarks we examined. We believe that the new capabilities of
the Gemini family in cross-modal reasoning and language understanding will enable a wide variety of
use cases. We discuss our approach toward post-training and deploying Gemini models responsibly to
users through services including Gemini, Gemini Advanced, Google AI Studio, and Cloud Vertex AI.