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ModelCap

Model decision surface

Compare AI models

Start with Perceptron Mk1 and Reka Edge, 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 Reka Edge

Live dataset updated 8/17/2026, 11:13:20 PM UTC

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

Perceptron

ModelCap position#151#153
Index score22.522.5
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedEstimatedglobal corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.15$0.10
Output / 1M$1.50$0.10
Pricing statusfreshfresh
Context33K16K
Providers11
Weight accessAPI onlyRestricted license

Decision facts

  • Perceptron Mk1 is #151; Reka Edge is #153 on the same current language board.
  • Index scores are 22.5 for Perceptron Mk1 and 22.5 for Reka Edge.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $1.50 for Perceptron Mk1 and $0.10 for Reka Edge.
  • Published context is 32,768 tokens for Perceptron Mk1 and 16,384 for Reka Edge.
  • Weight access differs: Perceptron Mk1 is none; Reka Edge is restricted.

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.