One of the major requirements of any biomass gasification modeling study is the ability to predict the yield and composition of tar produced under various operating conditions. It requires the use of a detailed chemical kinetic model, able to accurately predict the evolution of various chemical species important in the tar evolution chemistry, integrated with a CFD solver. But these detailed kinetic models consist of thousands of reactions and hundreds of species making their use computationally unaffordable. Therefore, most of the gasification modeling studies rely on global kinetic models that can not provide the details of tar evolution. To tackle this problem, we develop a reduced kinetic model for the secondary gas phase reactions of biomass gasification from the detailed chemical kinetics available in the literature. This model achieves a balance between computational expense and details required. Predictions of our reduced model are compared with the detailed kinetic model and experimental data for a Plug Flow Reactor (PFR) configuration. © 2016, Eastern States Section of the Combustion Institute. All rights reserved.