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Perceptron
perceptron/perceptron-mk1.5Catalogue: Indexed in the reference catalogue; nothing on this deployment answers as this model yet.
Published by the vendor; the platform bills at the target's declared price.
Perceptron perceptron/perceptron-mk1.5
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,...
Perceptron Mk1.5 earns a request when it needs step-by-step reasoning, tool calls, image and video and audio input; a short, general request would go to Nemotron 3.5 Super VL (free) instead - free per million input tokens against $0.15 here; and the hardest requests, where the quality floor rules it out, to Claude Opus 5.5 (batch). Your rules decide the floor; the trace shows the comparison for every request.
Lower input price and an intelligence index within 5 points (this model has no published index).
Nothing on this deployment answers as this model yet. Connect your own provider under Model providers, or add a target to your catalogue - the router picks it up without retraining.
# targets.yaml - declare a target that runs Perceptron Mk1.5
targets:
- id: perceptron-mk1-5
kind: llm
name: Perceptron Mk1.5
metadata:
model: perceptron/perceptron-mk1.5 # links the target to this catalogue entry
capabilities:
domains: [general]
supports_tools: true
context_window: 36864
cost:
usd_per_1k_tokens: 0.000825Input list price per million tokens; Perceptron Mk1.5 is the cheapest of 2 listed.
Other models by the same vendor in the catalogue.
Photo: RDNE Stock project
A higher intelligence index, best first, with the price it comes at.
The catalogue prints input and output prices and what three typical monthly workloads cost on each.