Perceptron Mk1.5: pricing, context and benchmarks

What you need to know about Perceptron Mk1.5

Perceptron Mk1.5 was released by Perceptron (United States) on September 25, 2026. It accepts text, images, video, and audio as input and produces text. Its context window reaches 36,864 tokens, larger than 8 % of the models in the registry, and it can write up to 8,192 tokens in one go.

It is a recent model: real-world feedback and independent scores are still scarce.

Perceptron Mk1.5 pricing

On OpenRouter, Perceptron Mk1.5 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 Mk1.5. We therefore show no made-up performance rating: only price, context and features count towards its score.

Features, privacy and local use

• It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
• 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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