Perceptron Mk1: pricing, context and benchmarks

What you need to know about Perceptron Mk1

Perceptron Mk1 was released by Perceptron (United States) on May 12, 2026. It accepts text, images, and video as input and produces text. Its context window reaches 32,768 tokens, larger than 8 % of the models in the registry, and it can write up to 8,192 tokens in one go.

It has been available for about 5 months, long enough for its prices and scores to have settled.

Perceptron Mk1 pricing

On OpenRouter, Perceptron Mk1 costs $0.15 per million input tokens and $1.5 per million output tokens. Counting three tokens read for every token written, its average price is $0.488 per million, more expensive than 41 % of paid models (1.6 times cheaper than the median of $0.76).

A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0011. At 1,000 tasks a day, budget $32 a month. The price calculator redoes this with your own volumes.

Performance and benchmarks

Epoch AI does not yet publish a capabilities index for Perceptron Mk1. We therefore show no made-up performance rating: only price, context and features count towards its score.

Features, privacy and local use

• It does not support tool calling: it is not suited to driving an AI agent that has to act.
• It can answer in an enforced JSON format (structured outputs).
• It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.

Its weights are not published: it can only be used through the Perceptron API or a broker such as OpenRouter, which means sending your data off your machines.

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