With rapid changes in forest health and an increasing presence of fire affecting many landscapes, fuel treatments are considered essential in efforts to potentially mitigate catastrophic fires, restore ecosystems and increase ecosystem resilience. Understanding fuel treatment effectiveness requires quantifying fuel changes and how they translate to changes in fire behavior over time. As these relationships are dynamic and often interrelated in complex ways, modeling-based evaluation efforts, such as with the Fire and Fuels Extension to the Forest Vegetation Simulator (FFE-FVS) (Rebain and others 2010), play a key role in such analyses. In this paper, we describe STANDFIRE, a prototype platform for modeling wildland fuels and fire behavior at stand scales. STANDFIRE builds upon and extends the capabilities of FFE-FVS by developing 3D fuels inputs for state of the art physics-based fire models, providing a more detailed alternative for analysis of how forest structure and composition may affect fire behavior and effects, particularly with respect to fuel treatment effectiveness. While previous tools simplify fuels data to accommodate fire models, STANDFIRE provides a pathway for researchers and managers in the United States to use real world forest inventory and fuels data in dynamic, 3D fire simulations.