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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 7B Instruct and Qwen3.7 Flash, 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

Qwen2.5 7B Instruct vs Qwen3.7 Flash

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

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 7B Instruct and Qwen3.7 Flash
Field
ModelCap position#96#102
Index score23.723.7
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.10$0.03
Output / 1M$0.20$0.13
Pricing statusfreshfresh
Context33K1M
Providers21
Weight accessOpen weightsAPI only

Decision facts

  • Qwen2.5 7B Instruct is #96; Qwen3.7 Flash is #102 on the same current language board.
  • Index scores are 23.7 for Qwen2.5 7B Instruct and 23.7 for Qwen3.7 Flash.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $0.20 for Qwen2.5 7B Instruct and $0.13 for Qwen3.7 Flash.
  • Published context is 32,768 tokens for Qwen2.5 7B Instruct and 1,000,000 for Qwen3.7 Flash.
  • Weight access differs: Qwen2.5 7B Instruct is open; Qwen3.7 Flash is none.
  • ModelCap currently lists 2 providers for Qwen2.5 7B Instruct and 1 for Qwen3.7 Flash.

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.