The Lindley distribution is a significant statistical distribution due to its superior statistical and mathematical properties compared to the exponential distribution. Consequently, it is utilized in various fields. This paper aims to examine different goodness-of-FIT tests for the Lindley distribution using cumulative entropy. The classical estimation method is employed to estimate the distribution parameters. A Monte Carlo simulation study is conducted to analyze the power of the tests across different distributions and sample sizes. To facilitate this comparison, we utilized several established goodness-of-fit tests based on empirical distribution. Finally, a numerical example is present to demonstrate the validity of our test.