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ModelCap

Model decision surface

Compare AI models

Start with Perceptron Mk1 and Sonar, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.

Current public data

Perceptron Mk1 vs Sonar

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Perceptron Mk1 and Sonar
Field
Perceptron Mk1

Perceptron

Sonar

Perplexity

ModelCap position#156#198
Index score21.49.6
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedMeasured1 public benchmark observation across 1 board
Input / 1M$0.15$1.00
Output / 1M$1.50$1.00
Pricing statusfreshfresh
Context33K127K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Perceptron Mk1 is #156; Sonar is #198 on the same current language board.
  • Index scores are 21.4 for Perceptron Mk1 and 9.6 for Sonar.
  • Evidence differs: Perceptron Mk1 is Estimated; Sonar is Measured.
  • Listed output price per 1M tokens is $1.50 for Perceptron Mk1 and $1.00 for Sonar.
  • Published context is 32,768 tokens for Perceptron Mk1 and 127,072 for Sonar.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.