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ModelCap

Model decision surface

Compare AI models

Start with granite 4.2 30b and QwQ 32B, 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

granite 4.2 30b vs QwQ 32B

Live dataset updated 9/17/2026, 7:03:55 AM UTC

Open 1200×630 evidence receipt
Factual comparison of granite 4.2 30b and QwQ 32B
Field
granite 4.2 30b

IBM Granite

ModelCap position#147#150
Index score33.732.1
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context131K—
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • granite 4.2 30b is #147; QwQ 32B is #150 on the same current language board.
  • Index scores are 33.7 for granite 4.2 30b and 32.1 for QwQ 32B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.

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.