The multimodal interaction is becoming richer in last years thanks to the increasing evolution of mobile devices (smartphones/tablets) and their embedded sensors including accelerometer, gyroscope, GPS, NFC and prox- imity sensors. Using such sensors, either sequentially or simultaneously, to interact with applications ensures an intuitive interaction and the user accep- tance. Today, the development of multimodal mobile systems incorporating input and output modalities through sensors is a long and difficult task. De- spite the facts that numerous model-based approaches have emerged and are supposed to simplify the multimodal mobile applications engineering, the de- sign and implementation of these applications are still generally in an ad-hoc way. In order to explain this situation, the present paper reviews, discusses, and analyses different model-based approaches proposed to develop multimodal mobile applications. The analysis considers not only the modelling and gener- ation of mobile multimodality features, but also the inclusion of Model-Driven Engineering (MDE) features such as guidance and model reuse that allows the appropriate use of models and benefits from them. Our aim is to identify the current gaps that hinder the facility and acceleration of the multimodal mobile applications development using model-based approaches.