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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.7 Plus and Qwen3 VL 32B 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

Qwen3.7 Plus vs Qwen3 VL 32B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3.7 Plus and Qwen3 VL 32B Instruct
Field
ModelCap position#18#186
Index score67.515.4
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.32$0.104
Output / 1M$1.28$0.416
Pricing statusfreshfresh
Context1M131K
Providers11
Weight accessAPI onlyOpen weights

Decision facts

  • Qwen3.7 Plus is #18; Qwen3 VL 32B Instruct is #186 on the same current language board.
  • Index scores are 67.5 for Qwen3.7 Plus and 15.4 for Qwen3 VL 32B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.28 for Qwen3.7 Plus and $0.42 for Qwen3 VL 32B Instruct.
  • Published context is 1,000,000 tokens for Qwen3.7 Plus and 131,072 for Qwen3 VL 32B Instruct.
  • Weight access differs: Qwen3.7 Plus is none; Qwen3 VL 32B Instruct is open.

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.