Refer to highly advanced, general-purpose AI models that represent the leading edge of technological capabilities at a given point in time. These models are designed to perform a wide variety of complex tasks, including advanced reasoning, problem-solving, language generation, coding, research, data analysis, and, increasingly, processing multiple forms of information such as text, images, audio, and video.

Frontier AI models are typically developed using extensive training datasets, substantial computing resources, and sophisticated machine-learning techniques. They differ from narrower or specialized AI models in their breadth of capabilities and ability to perform across multiple domains. Frontier models may be proprietary or openly available.

Frontier AI Model is a relative and evolving designation, not a permanent classification or a guarantee of superior performance across all tasks. Which models qualify as frontier models changes as AI capabilities advance, and different organizations may use different benchmarks or criteria to determine which models are at the leading edge. A model considered “frontier” today may no longer qualify as newer, more capable models emerge.

The development and oversight of frontier AI models have become subjects of international policy discussions, particularly concerning AI safety, transparency, accountability, and the potential societal consequences of increasingly capable systems. Although the term is widely used in research, industry, and policy discussions, there is no universally accepted technical threshold for defining a frontier model.