In a machine learning project, you are comparing the performance of two models using the Receiver Operating Characteristic (ROC) curve and the Area Under the Curve (AUC) metric. Model A has an AUC of 0.92, while Model B has an AUC of 0.87. However, you notice that Model A has a higher false positive rate (FPR) at a given true positive rate (TPR) compared to Model B. Which of the following statements is true, and why?