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ModelCap

Model decision surface

Compare AI models

Start with HARC Qwen2.5 7B Instruct and Qwen3 VL 8B Thinking, 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 VL 8B Thinking

Live dataset updated 8/18/2026, 4:14:24 AM UTC

Open 1200×630 evidence receipt
Factual comparison of HARC Qwen2.5 7B Instruct and Qwen3 VL 8B Thinking
Field
ModelCap position#106#103
Index score22.523.7
EvidenceInheritedmerge · mergeEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1MUnavailable$0.18
Output / 1MUnavailable$2.10
Pricing statusunavailablefresh
Context—131K
Providers01
Weight accessOpen weightsOpen weights

Decision facts

  • HARC Qwen2.5 7B Instruct is #106; Qwen3 VL 8B Thinking is #103 on the same current language board.
  • Index scores are 22.5 for HARC Qwen2.5 7B Instruct and 23.7 for Qwen3 VL 8B Thinking.
  • Evidence differs: HARC Qwen2.5 7B Instruct is Inherited; Qwen3 VL 8B Thinking is Estimated.
  • ModelCap currently lists 0 providers for HARC Qwen2.5 7B Instruct and 1 for Qwen3 VL 8B Thinking.

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.