Most odors encountered in daily life are complex mixtures where molecules interact to overshadow, suppress, inhibit and synergize with each other. Multiple models exist to predict the odor intensity of a mixture from the intensity of its components; however, these interaction models have not been compared systematically and are not based on biophysical interactions. In this study, 15 panelists rated the intensity of binary and complex mixtures where each component was presented at varying concentrations. Both additive and strongest-component model consistently overestimated mixture intensity, as most mixtures were less intense than the strongest component. An accurate intensity of the mixture was predicted when incorporating more information on the intensity of the components along their respective concentration-intensity function. These interactions suggest that most previous models, which only predict mixture intensity using the intensity of the components, would be improved by adding information about each components’ concentration-intensity function.