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ModelCap

Model decision surface

Compare AI models

Start with granite 4.2 3b and Llama 4 Maverick, 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 3b vs Llama 4 Maverick

Live dataset updated 9/19/2026, 11:04:59 PM UTC

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

IBM Granite

ModelCap position#161#163
Index score28.527.7
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1MUnavailable$0.188
Output / 1MUnavailable$0.652
Pricing statusunavailablefresh
Context131K1M
Providers05
Weight accessOpen weightsGated access

Decision facts

  • granite 4.2 3b is #161; Llama 4 Maverick is #163 on the same current language board.
  • Index scores are 28.5 for granite 4.2 3b and 27.7 for Llama 4 Maverick. 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 granite 4.2 3b and 1,048,576 for Llama 4 Maverick.
  • Weight access differs: granite 4.2 3b is open; Llama 4 Maverick is gated.
  • ModelCap currently lists 0 providers for granite 4.2 3b and 5 for Llama 4 Maverick.

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.