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ModelCap

Model decision surface

Compare AI models

Start with granite 4.2 30b and Mercury 2, 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 Mercury 2

Live dataset updated 9/3/2026, 2:31:57 AM UTC

Open 1200×630 evidence receipt
Factual comparison of granite 4.2 30b and Mercury 2
Field
granite 4.2 30b

IBM Granite

Mercury 2

Inception Labs

ModelCap position#86#85
Index score30.430.8
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1MUnavailable$0.25
Output / 1MUnavailable$0.75
Pricing statusunavailablefresh
Context131K128K
Providers01
Weight accessOpen weightsAPI only

Decision facts

  • granite 4.2 30b is #86; Mercury 2 is #85 on the same current language board.
  • Index scores are 30.4 for granite 4.2 30b and 30.8 for Mercury 2.
  • Both positions use Measured evidence.
  • Published context is 131,072 tokens for granite 4.2 30b and 128,000 for Mercury 2.
  • Weight access differs: granite 4.2 30b is open; Mercury 2 is none.
  • ModelCap currently lists 0 providers for granite 4.2 30b and 1 for Mercury 2.

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.