A large sparse model that punches above its active parameter count — only 10B parameters fire per token despite 139B total, keeping inference lean. It handles long contexts well, with a 196K token window suited for document-heavy tasks. The trade-off is typical of MoE architectures: strong breadth but occasionally uneven depth on highly specialized reasoning.