The Multinomial Logit Model is a statistical model used to predict the probabilities of different possible outcomes of a categorically distributed dependent variable, given a set of independent variables. It is widely used in fields such as economics, marketing, and social sciences for modeling choice behavior where the choices are more than two and mutually exclusive.