Perceptron Mk1.5

by Perceptrontext+image+audio+video->text1 endpoint

Overview

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, and clips.

It supports graded reasoning through the standard reasoning controls, function tool calling, and structured outputs via JSON Schema. Structured annotations are emitted inline with text only when requested via the annotation_format parameter ("point", "box", or "polygon" for spatial localization on images, "clip" for temporal segments in video). Video soundtracks are analyzed only when explicitly enabled per request.

Capabilities

Text generation
Image understanding
Audio processing
Video understanding
Tool use / Function calling
Extended reasoning
Top-P sampling

Modalities

Input
TextImageVideoAudio
Output
Text

Technical Specifications

Context Window
36.9K tokens
Max Output
8.2K tokens
Tokenizer
Other
Uptime (24h)
10000.0%

Supported Parameters

frequency_penaltyinclude_reasoningmax_tokenspresence_penaltyreasoningreasoning_effortstructured_outputstemperaturetool_choicetoolstop_ktop_p

Pricing

Per 1M tokens
Input$0.15
Output$1.50
Added
September 25, 2026
Last synced 10/23/2026