A frontier artificial intelligence model operates near the leading edge of broadly measured capability. It may perform especially well on difficult reasoning, coding, multimodal, or agent tasks, although frontier status changes as new systems are released and independently evaluated.
Frontier models can generate substantial revenue because capability supports valuable tasks, but they also require expensive research, training, serving, and safety work. Economic value depends on reliable task outcomes, demand, pricing, latency, and the cost of the infrastructure used to run them.
