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ModelCap

Model decision surface

Compare AI models

Start with Nova Premier 1.0 and Llama 3.2 1B Instruct, 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 Premier 1.0 vs Llama 3.2 1B Instruct

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Nova Premier 1.0 and Llama 3.2 1B Instruct
Field
ModelCap position#233#221
Index score0.00.0
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured2 public benchmark observations across 2 boards
Input / 1M$2.50$0.027
Output / 1M$12.50$0.201
Pricing statusfreshfresh
Context1M60K
Providers11
Weight accessAPI onlyGated access

Decision facts

  • Nova Premier 1.0 is #233; Llama 3.2 1B Instruct is #221 on the same current language board.
  • Index scores are 0.0 for Nova Premier 1.0 and 0.0 for Llama 3.2 1B Instruct.
  • Evidence differs: Nova Premier 1.0 is Estimated; Llama 3.2 1B Instruct is Measured.
  • Listed output price per 1M tokens is $12.50 for Nova Premier 1.0 and $0.20 for Llama 3.2 1B Instruct.
  • Published context is 1,000,000 tokens for Nova Premier 1.0 and 60,000 for Llama 3.2 1B Instruct.
  • Weight access differs: Nova Premier 1.0 is none; Llama 3.2 1B Instruct is gated.

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.