Abstract: Readability assessment is to automatically determine the reading difficulty of a given document. Focusing on Chinese readability assessment, this paper proposes a CNN + LSTM difficulty classification model with the variable-length convolutional layer and block structure. Extensive experiments on school textbooks and a manual-constructed test set show that the proposed method achieves 75.4% accuracy on 5-level difficulty prediction, which is superior to the existing models.