Keras: What is the difference between model and layers?

In Keras, a network is a directed acyclic graph (DAG) of layers. A model is a network with added training and evaluation routines.

The framework allows you to build network DAGs out of both individual layers and other DAGs. The latter is what you're seeing in the example and what seems to be causing the confusion.