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ModelCap

Model decision surface

Compare AI models

Start with granite 4.2 3b and GPT-4 Turbo, 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 GPT-4 Turbo

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

Open 1200×630 evidence receipt
Factual comparison of granite 4.2 3b and GPT-4 Turbo
Field
granite 4.2 3b

IBM Granite

ModelCap position#134#135
Index score26.126.0
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailable$10.00
Output / 1MUnavailable$30.00
Pricing statusunavailablefresh
Context131K128K
Providers01
Weight accessOpen weightsAPI only

Decision facts

  • granite 4.2 3b is #134; GPT-4 Turbo is #135 on the same current language board.
  • Index scores are 26.1 for granite 4.2 3b and 26.0 for GPT-4 Turbo. 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 128,000 for GPT-4 Turbo.
  • Weight access differs: granite 4.2 3b is open; GPT-4 Turbo is none.
  • ModelCap currently lists 0 providers for granite 4.2 3b and 1 for GPT-4 Turbo.

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.