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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.5 Pro and Laguna M.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

GPT-5.5 Pro vs Laguna M.1

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.5 Pro and Laguna M.1
Field
Laguna M.1

Poolside

ModelCap position#49#50
Index score59.158.4
EvidenceMeasuredpublisher-corpus-prior over 182 held-out anchors (61%); 1 specialist-board observation at 2.1% support (40%); shrunk 14.6 toward the measured corpusEstimated3 reported rows against measured corpus ladders (55%); global-corpus-prior over 182 held-out anchors (45%); shrunk 4.3 toward the measured corpus
Input / 1M$30.00Unavailable
Output / 1M$180Unavailable
Pricing statusfreshunavailable
Context1M
Providers10
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.5 Pro is #49; Laguna M.1 is #50 on the same current language board.
  • Index scores are 59.1 for GPT-5.5 Pro and 58.4 for Laguna M.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: GPT-5.5 Pro is Measured; Laguna M.1 is Estimated.
  • Weight access differs: GPT-5.5 Pro is none; Laguna M.1 is open.
  • ModelCap currently lists 1 providers for GPT-5.5 Pro and 0 for Laguna M.1.

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.