Multinomial for K Classes VS. Training K Logistic Regression Classifiers

Are there any practical or theoretical justifications for using one versus the other?

To be clear, for training K logistic regression classifiers, the classification is taken to be the class with the highest probability as predicted by the logistic regression classifiers.