Scarcity or non-existence of hydrometeorological stations that cover a large percentage of territory of a country leads to the delay in possible research or projects for water resources administration. Therefore, the hydrological balance models together with satellite precipitation products represent one of the ways to estimate flows in a specific period. In Peru, one of the areas that does not have enough monitoring stations and consequently with scarce hydrometeorological data is the High Jungle area. Due to this, this article performs a hydrological balance modeling in a sub-basin in the High Jungle based on the PISCO satellite product and the methodologies of Temez, GR2M and Lutz Scholtz. GR2M model gave better results, with the following validation coefficients: Nash = 0.70, PBIAS = 2.31, R2 = 0.69 and KGE = 0.74. In conclusion, GR2M hydrological balance model has a better fit for the estimation of average flows of sub-basins in areas of High Jungle.