The article introduces new tests to check if a given multinomial distribution fits well. These tests, called Neyman smooth-type tests, adjust their complexity based on the data. They are better at spotting certain differences compared to traditional methods. By using mathematical analyses and simulations, the tests are proven to work well in practice.