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ModelCap

Model decision surface

Compare AI models

Start with o3 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

o3 vs Laguna S 2.1

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt
Factual comparison of o3 and Laguna S 2.1
Field
o3

OpenAI

Laguna S 2.1

Poolside

ModelCap position#49#45
Index score61.362.6
EvidenceMeasured3 public benchmark observations across 3 boardsEstimated5 reported rows against measured corpus ladders (67%); global-corpus-prior over 194 held-out anchors (33%); shrunk 5.2 toward the measured corpus
Input / 1M$2.00$0.09
Output / 1M$8.00$0.18
Pricing statusfreshfresh
Context200K1M
Providers11
Weight accessAPI onlyRestricted license

Decision facts

  • o3 is #49; Laguna S 2.1 is #45 on the same current language board.
  • Index scores are 61.3 for o3 and 62.6 for Laguna S 2.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: o3 is Measured; Laguna S 2.1 is Estimated.
  • Listed output price per 1M tokens is $8.00 for o3 and $0.18 for Laguna S 2.1. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $8.00 for o3 versus $0.27 for Laguna S 2.1. Laguna S 2.1 costs 96.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 200,000 tokens for o3 and 1,048,576 for Laguna S 2.1.
  • Weight access differs: o3 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.