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ModelCap

Model decision surface

Compare AI models

Start with Perceptron Mk1 and Sonar Deep Research, 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 Deep Research

Live dataset updated 8/18/2026, 3:23:39 AM UTC

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

Perceptron

ModelCap position#156#235
Index score21.40.0
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.15$2.00
Output / 1M$1.50$8.00
Pricing statusfreshfresh
Context33K128K
Providers11
Weight accessAPI onlyAPI only

Decision facts

  • Perceptron Mk1 is #156; Sonar Deep Research is #235 on the same current language board.
  • Index scores are 21.4 for Perceptron Mk1 and 0.0 for Sonar Deep Research.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $1.50 for Perceptron Mk1 and $8.00 for Sonar Deep Research.
  • Published context is 32,768 tokens for Perceptron Mk1 and 128,000 for Sonar Deep Research.

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.