This model2 is not as powerful, so it might be worst on the training set.
But because it has less parameters (and is linear) the model it is gonna learn is much simpler and so is naturally regularized (due to the structure of the function). This could be an advantage depending on your task and could lead to better validation accuracy in some cases.