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ModelCap

Model decision surface

Compare AI models

Start with HARC Qwen2.5 7B Instruct and Mage VL, 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

HARC Qwen2.5 7B Instruct vs Mage VL

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

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

Microsoft

ModelCap position#105#147
Index score22.522.5
EvidenceInheritedmerge · mergeEstimatedglobal corpus prior · leave-one-anchor-out calibrated
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • HARC Qwen2.5 7B Instruct is #105; Mage VL is #147 on the same current language board.
  • Index scores are 22.5 for HARC Qwen2.5 7B Instruct and 22.5 for Mage VL.
  • Evidence differs: HARC Qwen2.5 7B Instruct is Inherited; Mage VL 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.