Liquid d1-ultra is a multimodal decision model for classification, routing, and scoring across text and images, with a 32,768-token context window. It returns calibrated probabilities for yes/no, multiple-choice, and scale-based questions in a single forward pass without generating output tokens. It is designed for demanding real-world tasks such as visual defect inspection and evaluating damage claims against customer photos.