A mid-sized mixture-of-experts model that punches above its active parameter count by activating only 3B parameters per forward pass from a 30B pool. It thinks carefully when prompted to reason through problems, but can also respond quickly in non-thinking mode — making it adaptable to latency-sensitive or quality-sensitive contexts. Instruction-following is reliable, though very long or highly nuanced tasks may still favor larger dense models.