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ModelCap

Model decision surface

Compare AI models

Start with Perceptron Mk1 and Laguna S 2.1, 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 Laguna S 2.1

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

Open 1200×630 evidence receipt
Factual comparison of Perceptron Mk1 and Laguna S 2.1
Field
Perceptron Mk1

Perceptron

Laguna S 2.1

Poolside

ModelCap position#151#152
Index score22.522.5
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedEstimatedglobal corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.15$0.09
Output / 1M$1.50$0.18
Pricing statusfreshfresh
Context33K1M
Providers11
Weight accessAPI onlyRestricted license

Decision facts

  • Perceptron Mk1 is #151; Laguna S 2.1 is #152 on the same current language board.
  • Index scores are 22.5 for Perceptron Mk1 and 22.5 for Laguna S 2.1.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $1.50 for Perceptron Mk1 and $0.18 for Laguna S 2.1.
  • Published context is 32,768 tokens for Perceptron Mk1 and 1,048,576 for Laguna S 2.1.
  • Weight access differs: Perceptron Mk1 is none; Laguna S 2.1 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.