Perceptron model releases

Perceptron Mk1.5 is Perceptron's embodied-reasoning / perception model for physical agents, released 2026-09-25 as a hosted, proprietary model succeeding Mk1 (May 2026) and retiring the earlier open-weight isaac-0.1/0.2 checkpoints on launch. Multimodal understanding: it accepts text, image, video and audio (WAV/MP3/FLAC) input and answers in natural-language text, optionally emitting machine-parseable spatial/temporal annotations — points, bounding boxes, polygons, tracks and video clips — rather than generating media. Supports graded reasoning via a reasoning_effort control, function/tool calling and JSON-Schema structured outputs. 36,864-token context, 8,192 max output tokens. Pricing $0.15 / 1M input ($0.0375 cached), $1.50 / 1M output. Built by ex-Meta FAIR founders for perception on factory floors and robotics; parameter count undisclosed.