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ModelCap

Model decision surface

Compare AI models

Start with granite 4.2 30b and Qwen3.5-9B, 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 Qwen3.5-9B

Live dataset updated 9/3/2026, 2:54:47 AM UTC

Open 1200×630 evidence receipt
Factual comparison of granite 4.2 30b and Qwen3.5-9B
Field
granite 4.2 30b

IBM Granite

ModelCap position#86#87
Index score30.429.0
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1MUnavailable$0.10
Output / 1MUnavailable$0.15
Pricing statusunavailablefresh
Context131K262K
Providers05
Weight accessOpen weightsOpen weights

Decision facts

  • granite 4.2 30b is #86; Qwen3.5-9B is #87 on the same current language board.
  • Index scores are 30.4 for granite 4.2 30b and 29.0 for Qwen3.5-9B.
  • Both positions use Measured evidence.
  • Published context is 131,072 tokens for granite 4.2 30b and 262,144 for Qwen3.5-9B.
  • ModelCap currently lists 0 providers for granite 4.2 30b and 5 for Qwen3.5-9B.

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.