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The main goal of this paper is to evaluate bank productivity over 2015-2019 with Data Envelopment Analysis (DEA) for 30 banks from eight developing countries. The primary purpose of this study is to compare the productivities with Malmquist Productivity Index (MPI). Applying MPI can be beneficial for managers to expand their comparison and evaluation. To find the superior model, we use Charnes, Cooper and Rhodes model (CCR), or Banker, Charnes and Cooper model (BBC), combine the two aforementioned models starting with CCR model (CCR-BCC). The results indicate that the CCR-BCC model has the most productive effect during all periods compare with other suggested models in MPI. Meanwhile, BCC and CCR models are in the second and third places, respectively. We consider input-oriented for the suggested models This study overcomes with some data and methodology issues in measuring the productivity of developing countries banks and highlights the importance of inspiring increased productivity through the banking industry comparing four suggested models and the new results. The dataset was obtained from BankFocus-Bureau van Dijk database. From each country we choose the three or four biggest banks based on the total assets.