Musculoskeletal Models are useful for designing rehabilitation technology (RT). MSMS software has unique features which let simulate RT along with different controllers. Unfortunately there are technical differences across platforms which yield to different results. Therefore benchmarking of simulations has been proposed. Here we present the implementation of a Shoulder and Elbow musculosketal (SE) model based on the MoBL ARMS model. SE model consists of 5 rigid segments linked with 5 degrees of freedom driven by 12 muscles. Muscle fascicle length (FL) and active fiber force (AFF) were calculated during simulation of 2 single joint shoulder and elbow movements. RMS errors were calculated between results. Differences between models were smallest for muscle FL (RMSE≤0.0037) and AFF (RMSE≤22.0155). RMS errors were biggest for FL of deltoid posterior muscle (RMSE=0.1165) and for AFF of supraspinatus muscle (RMSE=164.97) during shoulder abduction. But both models showed similar outputs.