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ModelCap

Model decision surface

Compare AI models

Start with Fara1.5 27B and Laguna XS.2, 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

Fara1.5 27B vs Laguna XS.2

Live dataset updated 9/22/2026, 1:40:35 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Fara1.5 27B and Laguna XS.2
Field
Fara1.5 27B

Microsoft

Laguna XS.2

Poolside

ModelCap position#83#81
Index score53.954.4
EvidenceInheritedfinetune of qwen/qwen3.5-27b · finetune (100%)Estimatedglobal-corpus-prior over 202 held-out anchors (7%); launch card against 5 resolved peers on 4 rows (93%); optimism haircut 0 from cross-lab-probe
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Fara1.5 27B is #83; Laguna XS.2 is #81 on the same current language board.
  • Index scores are 53.9 for Fara1.5 27B and 54.4 for Laguna XS.2. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Fara1.5 27B is Inherited; Laguna XS.2 is Estimated.

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.