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ModelCap

Model decision surface

Compare AI models

Start with granite 4.2 3b and Llama 4 Scout, 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 Scout

Live dataset updated 9/9/2026, 9:50:24 PM UTC

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

IBM Granite

ModelCap position#134#133
Index score26.127.5
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured4 public benchmark observations across 4 boards
Input / 1MUnavailable$0.10
Output / 1MUnavailable$0.30
Pricing statusunavailablefresh
Context131K1.3M
Providers03
Weight accessOpen weightsGated access

Decision facts

  • granite 4.2 3b is #134; Llama 4 Scout is #133 on the same current language board.
  • Index scores are 26.1 for granite 4.2 3b and 27.5 for Llama 4 Scout. 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 1,310,720 for Llama 4 Scout.
  • Weight access differs: granite 4.2 3b is open; Llama 4 Scout is gated.
  • ModelCap currently lists 0 providers for granite 4.2 3b and 3 for Llama 4 Scout.

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.