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ModelCap

Model decision surface

Compare AI models

Start with Fara1.5 4B and HARC Qwen2.5 7B Instruct, 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 4B vs HARC Qwen2.5 7B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Fara1.5 4B and HARC Qwen2.5 7B Instruct
Field
Fara1.5 4B

Microsoft

ModelCap position#146#105
Index score22.522.5
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedInheritedmerge · merge
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Fara1.5 4B is #146; HARC Qwen2.5 7B Instruct is #105 on the same current language board.
  • Index scores are 22.5 for Fara1.5 4B and 22.5 for HARC Qwen2.5 7B Instruct.
  • Evidence differs: Fara1.5 4B is Estimated; HARC Qwen2.5 7B Instruct is Inherited.

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.