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ModelCap

Model decision surface

Compare AI models

Start with Nova Pro 1.0 and Granite 4.2 8B, 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

Nova Pro 1.0 vs Granite 4.2 8B

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Nova Pro 1.0 and Granite 4.2 8B
Field
Granite 4.2 8B

IBM Granite

ModelCap position#148#147
Index score18.418.7
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.80$0.06
Output / 1M$3.20$0.25
Pricing statusfreshfresh
Context300K131K
Providers12
Weight accessAPI onlyOpen weights

Decision facts

  • Nova Pro 1.0 is #148; Granite 4.2 8B is #147 on the same current language board.
  • Index scores are 18.4 for Nova Pro 1.0 and 18.7 for Granite 4.2 8B. 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.
  • Listed output price per 1M tokens is $3.20 for Nova Pro 1.0 and $0.25 for Granite 4.2 8B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $3.20 for Nova Pro 1.0 versus $0.24 for Granite 4.2 8B. Granite 4.2 8B costs 92.3% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 300,000 tokens for Nova Pro 1.0 and 131,072 for Granite 4.2 8B.
  • Weight access differs: Nova Pro 1.0 is none; Granite 4.2 8B is open.
  • ModelCap currently lists 1 providers for Nova Pro 1.0 and 2 for Granite 4.2 8B.

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.