Perceptron: Perceptron Mk1.5 Rank
Perceptron Mk1.5 has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 70, context 28, and recency 98. The overall score is their average. parameters and freshness are not published and are left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 149 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 98 | AI Release Date | |
| Context | 28 | 36.9K tokens, output 8.2K | AI Context Window |
| Parameters | — | — | AI Parameter Count |
| Price | 70 | $0.487 / 1M blended, $0.15 / 1M input, $1.5 / 1M output | AI Token Price |
148 listed models have a higher overall score. Among Perceptron models, it ranks 1 of 2.
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,...
Higher overall scores
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Frequently asked questions
What is the Perceptron Mk1.5 rank?
Perceptron Mk1.5 has an overall score of 65 out of 100, tied for rank 149 of 291. The published scores are price 70, context 28, and recency 98. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Perceptron Mk1.5 rank?
Perceptron Mk1.5 is tied for rank 149 of 291. 148 listed models have a higher overall score. Among Perceptron models, it ranks 1 of 2.
What scores make up Perceptron Mk1.5?
Perceptron Mk1.5 scores price 70 (AI Token Price), context 28 (AI Context Window), and recency 98 (AI Release Date). The overall score of 65 is the average of those 3.