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ModelCap

Model decision surface

Compare AI models

Start with Laguna S 2.1 and Relace Apply 3, 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

Laguna S 2.1 vs Relace Apply 3

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

Open 1200×630 evidence receipt
Factual comparison of Laguna S 2.1 and Relace Apply 3
Field
Laguna S 2.1

Poolside

ModelCap position#152#154
Index score22.522.5
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedEstimatedglobal corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.09$0.85
Output / 1M$0.18$1.25
Pricing statusfreshfresh
Context1M256K
Providers11
Weight accessRestricted licenseAPI only

Decision facts

  • Laguna S 2.1 is #152; Relace Apply 3 is #154 on the same current language board.
  • Index scores are 22.5 for Laguna S 2.1 and 22.5 for Relace Apply 3.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $0.18 for Laguna S 2.1 and $1.25 for Relace Apply 3.
  • Published context is 1,048,576 tokens for Laguna S 2.1 and 256,000 for Relace Apply 3.
  • Weight access differs: Laguna S 2.1 is restricted; Relace Apply 3 is none.

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.