Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Gemma 3 27B and Nemotron 3.5 Lightning, 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 27B vs Nemotron 3.5 Lightning

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3 27B and Nemotron 3.5 Lightning
Field
ModelCap position#81#79
Index score29.931.7
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.08$0.08
Output / 1M$0.45$0.20
Pricing statusfreshfresh
Context262K1M
Providers53
Weight accessGated accessRestricted license

Decision facts

  • Gemma 3 27B is #81; Nemotron 3.5 Lightning is #79 on the same current language board.
  • Index scores are 29.9 for Gemma 3 27B and 31.7 for Nemotron 3.5 Lightning.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.45 for Gemma 3 27B and $0.20 for Nemotron 3.5 Lightning.
  • Published context is 262,144 tokens for Gemma 3 27B and 1,000,000 for Nemotron 3.5 Lightning.
  • Weight access differs: Gemma 3 27B is gated; Nemotron 3.5 Lightning is restricted.
  • ModelCap currently lists 5 providers for Gemma 3 27B and 3 for Nemotron 3.5 Lightning.

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.