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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 4B and Nemotron Nano 9B V2, 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

Gemma 3 4B vs Nemotron Nano 9B V2

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

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 4B and Nemotron Nano 9B V2
Field
ModelCap position#197#217
Index score10.92.7
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.05Free
Output / 1M$0.10Free
Pricing statusfreshfresh
Context131K128K
Providers11
Weight accessGated accessRestricted license

Decision facts

  • Gemma 3 4B is #197; Nemotron Nano 9B V2 is #217 on the same current language board.
  • Index scores are 10.9 for Gemma 3 4B and 2.7 for Nemotron Nano 9B V2.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.10 for Gemma 3 4B and $0 for Nemotron Nano 9B V2.
  • Published context is 131,072 tokens for Gemma 3 4B and 128,000 for Nemotron Nano 9B V2.
  • Weight access differs: Gemma 3 4B is gated; Nemotron Nano 9B V2 is restricted.

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.