Perceptron: Perceptron Mk1 Rank
Perceptron Mk1 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 70, context 27, and recency 92. 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 176 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 92 | AI Release Date | |
| Context | 27 | 32.8K 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 |
175 listed models have a higher overall score. Among Perceptron models, it ranks 2 of 2.
Perceptron Mk1 (Mark One) is Perceptron's highest-quality vision-language model for video and embodied reasoning.** It accepts image and video inputs paired with natural language queries, and produces detailed visual understanding...
Higher overall scores
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Frequently asked questions
What is the Perceptron Mk1 rank?
Perceptron Mk1 has an overall score of 63 out of 100, tied for rank 176 of 291. The published scores are price 70, context 27, and recency 92. The overall score is their average. parameters and freshness are not published and are left out of the average.
Where does Perceptron Mk1 rank?
Perceptron Mk1 is tied for rank 176 of 291. 175 listed models have a higher overall score. Among Perceptron models, it ranks 2 of 2.
What scores make up Perceptron Mk1?
Perceptron Mk1 scores price 70 (AI Token Price), context 27 (AI Context Window), and recency 92 (AI Release Date). The overall score of 63 is the average of those 3.