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ModelCap

Model decision surface

Compare AI models

Start with HARC Qwen2.5 7B Instruct and Qwen3 4B Instruct 2507, 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 Qwen3 4B Instruct 2507

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 Qwen3 4B Instruct 2507
Field
ModelCap position#105#103
Index score22.523.5
EvidenceInheritedmerge · mergeEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context—262K
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • HARC Qwen2.5 7B Instruct is #105; Qwen3 4B Instruct 2507 is #103 on the same current language board.
  • Index scores are 22.5 for HARC Qwen2.5 7B Instruct and 23.5 for Qwen3 4B Instruct 2507.
  • Evidence differs: HARC Qwen2.5 7B Instruct is Inherited; Qwen3 4B Instruct 2507 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.