Nowadays, hyperthermia is known as the fourth pillar of cancer treatment. Cell survival models are used to determine the percentage of tissue damage that occurs after heating. Because of the limitations of laboratory data, there has not been a comparison between these models for a variable temperature treatment. In this study, cell survival models have been compared in a numerical approach with a temperature range. Simulation is done in MATLAB software by applying cylindrical and spherical geometries. PC3 and CHO data are used in this simulation. Moreover, temperature distribution in tumor is calcuted with Pennes's living-tissue heat-transfer model. A clear quantitative function describing effects of temperature on different parameters of survive models has not been derived yet, hence, CEM scheme is used and, aforementioned scheme, temperature changes is adapted to the time. Subsequently cell-survive fraction for six different models is calculated through tumor body. The results show that CEM method reduces numerical modifications, but succeeds in conforming to experimental data and displaying cell death location. Also, comparing numerical and experimental results indicates Jung and Kellerer models are most accurate to predict cell-death. Keywords: cell-death, cell-survive models, hyperthermia, Pennes model, CEM scheme, Jung model, Kellerer model.