Biomass is a promising renewable energy source with great potential. Gasification converts biomass into economically viable energy. Identifying, developing, and optimizing biomass gasification technology requires mathematical models. This article critically evaluates gasification modelling. We investigated thermodynamic equilibrium, kinetics, computational fluid dynamics (CFD), and artificial neural network (ANN) models. This examination will evaluate the advantages and disadvantages of the four models. The assessment results should enable the building of models for bigger reactors, improving gasification. Developing reaction equilibrium constant correction factors makes the thermodynamic equilibrium model better for integrated systems analysis. Future kinetic model development will include simulation tools to build the reactor. The CFD model’s main advantage is its ability to scale up the gasification reactor for better syngas. 3-D CFD models model particle size and feed location, making model construction challenging. The ANN model, despite its excellent predictions, faces limitations due to its reliance on input. This limitation can make ANN model development difficult.