Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...
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Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,. It is published by Perceptron and catalogued here from OpenRouter.
Perceptron: Perceptron Mk1.5 accepts up to 36.864K tokens of context and returns up to 8.192K output tokens.
Provider catalogs list support for image input.