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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 30B A3B Instruct 2507 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 30B A3B Instruct 2507 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 30B A3B Instruct 2507 and Qwen3 VL 32B Instruct
Field
ModelCap position#60#186
Index score42.515.4
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.048$0.104
Output / 1M$0.193$0.416
Pricing statusfreshfresh
Context262K131K
Providers51
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 30B A3B Instruct 2507 is #60; Qwen3 VL 32B Instruct is #186 on the same current language board.
  • Index scores are 42.5 for Qwen3 30B A3B Instruct 2507 and 15.4 for Qwen3 VL 32B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.19 for Qwen3 30B A3B Instruct 2507 and $0.42 for Qwen3 VL 32B Instruct.
  • Published context is 262,144 tokens for Qwen3 30B A3B Instruct 2507 and 131,072 for Qwen3 VL 32B Instruct.
  • ModelCap currently lists 5 providers for Qwen3 30B A3B Instruct 2507 and 1 for Qwen3 VL 32B Instruct.

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.