A large multimodal model that punches above its weight by activating only 12 billion parameters at a time despite having 120 billion total — a mixture-of-experts design that keeps inference costs manageable. It handles both text and image inputs, making it capable of visual reasoning tasks alongside language work. The sparse activation pattern means you get a large-model knowledge base without paying full large-model compute costs.