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ModelCap

Model decision surface

Compare AI models

Start with Ling 3.0 tiny 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

Ling 3.0 tiny vs HARC Qwen2.5 7B Instruct

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Ling 3.0 tiny and HARC Qwen2.5 7B Instruct
Field
Ling 3.0 tiny

InclusionAI

ModelCap position#79#106
Index score32.422.5
EvidenceMeasured1 public benchmark observation across 1 boardInheritedmerge · merge
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Ling 3.0 tiny is #79; HARC Qwen2.5 7B Instruct is #106 on the same current language board.
  • Index scores are 32.4 for Ling 3.0 tiny and 22.5 for HARC Qwen2.5 7B Instruct.
  • Evidence differs: Ling 3.0 tiny is Measured; 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.