LaRue Tactical LT1555620MLOK LT15 MLOK 5.56 NATO 20" 31-Round Carbine

The LaRue Tactical LT1555620MLOK LT15 MLOK 5.56 NATO 20" 31-round carbine represents a purpose-built platform for operators who demand accuracy and modularity in a compact form factor. This rifle bridges the gap between patrol carbines and precision rifles, making it ideal for law enforcement precision teams, military designated marksmen, and serious civilian shooters who require sub-MOA performance without sacrificing ergonomics. The 20-inch barrel strikes a critical balance—long enough to extract full velocity potential from 5.56 ammunition while remaining maneuverable in vehicle, building, and confined-space scenarios.

LaRue Tactical's reputation for hand-lapped, match-grade barrels is evident in this platform; the 20-inch 5.56 NATO barrel delivers the velocity and harmonics necessary for consistent performance at distance. The MLOK (Modular Lock) rail system provides modern accessory mounting flexibility, allowing integration of optics, lights, vertical grips, and specialized devices without proprietary adapters. At 14 pounds, this carbine maintains reasonable weight for extended use while delivering the rigidity and thermal stability required for precision shooting. The 31-round magazine capacity ensures adequate ammunition supply for training and mission profiles without excessive reload frequency.

This LaRue Tactical LT15 MLOK carbine excels for designated marksman roles, precision-focused riflemen, and military/law enforcement units prioritizing accuracy over volume of fire. The modular MLOK design accommodates any modern accessory ecosystem—whether MRO reflex optics, LPVO magnified systems, or specialized thermal devices—making this platform adaptable across mission sets and training environments. Its 50.5-inch overall length makes it compatible with standard rifle cases and vehicle mounts while maintaining the ballistic advantage of a full-length barrel. Operators familiar with AR platforms will find the ergonomics and controls immediately familiar, reducing training time and operator error during high-stress deployments.