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ModelCap

Model decision surface

Compare AI models

Start with Gemma SEA Guard 12B 2602 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 SEA Guard 12B 2602 vs Nemotron 3.5 Lightning

Live dataset updated 9/15/2026, 8:34:26 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma SEA Guard 12B 2602 and Nemotron 3.5 Lightning
Field
ModelCap position#157#103
Index score29.743.4
EvidenceInheritedfinetune of google/gemma-3-12b-it · finetune (100%)Measured1 public benchmark observation across 1 board
Input / 1MUnavailable$0.08
Output / 1MUnavailable$0.20
Pricing statusunavailablefresh
Context—262K
Providers04
Weight accessRestricted licenseRestricted license

Decision facts

  • Gemma SEA Guard 12B 2602 is #157; Nemotron 3.5 Lightning is #103 on the same current language board.
  • Index scores are 29.7 for Gemma SEA Guard 12B 2602 and 43.4 for Nemotron 3.5 Lightning. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemma SEA Guard 12B 2602 is Inherited; Nemotron 3.5 Lightning is Measured.
  • ModelCap currently lists 0 providers for Gemma SEA Guard 12B 2602 and 4 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.