We propose a numerical study to analyse the convergence of some stochastic models including some parameter estimation using classical estimation procedure. We illustrate the convergence of a continuous time Markov chain, a Poisson stochastic model, to a deterministic model. Simulations highlight the differences in the speed of convergence of the stochastic models considered. We end with a discussion on some forthcoming theoretical developments.