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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 4B and granite 4.2 3b, 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

Gemma 3 4B vs granite 4.2 3b

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 4B and granite 4.2 3b
Field
granite 4.2 3b

IBM Granite

ModelCap position#179#164
Index score19.625.1
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.05Unavailable
Output / 1M$0.10Unavailable
Pricing statusfreshunavailable
Context131K131K
Providers10
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3 4B is #179; granite 4.2 3b is #164 on the same current language board.
  • Index scores are 19.6 for Gemma 3 4B and 25.1 for granite 4.2 3b. 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.
  • Published context is 131,072 tokens for Gemma 3 4B and 131,072 for granite 4.2 3b.
  • Weight access differs: Gemma 3 4B is gated; granite 4.2 3b is open.
  • ModelCap currently lists 1 providers for Gemma 3 4B and 0 for granite 4.2 3b.

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.