The sixth-generation (6G) applications with intensive computation and low latency requirements generate the offloading need for mobile users. For optimal offloading, the digital twin is a potential technology in multi-stage networks with mobile users; unmanned aerial vehicles (UAVs) act as mobile edge computing servers (MECs) and cloud server. In a multi-stage network, the high computation tasks with stringent latency requirements on mobile devices are handled efficiently. This chapter proposes a digital twin-assisted multi-stage network for low-latency communication and computation. An optimization problem for mobile users’ task latency minimization is formulated by optimizing the offloading portions in multi-stages and association with UAV-MECs. The optimization problem is solved through an alternate optimization algorithm, including the learning algorithm and interior point method. The simulation was carried out under different scenarios to emphasize the usefulness of the proposed network.