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ModelCap

Model decision surface

Compare AI models

Start with Gemma SEA Guard 12B 2602 and Llama 4 Scout, 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 Llama 4 Scout

Live dataset updated 9/10/2026, 3:47:06 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma SEA Guard 12B 2602 and Llama 4 Scout
Field
ModelCap position#142#145
Index score29.027.2
EvidenceInheritedfinetune of google/gemma-3-12b-it · finetune (100%)Measured4 public benchmark observations across 4 boards
Input / 1MUnavailable$0.10
Output / 1MUnavailable$0.30
Pricing statusunavailablefresh
Context—1.3M
Providers03
Weight accessRestricted licenseGated access

Decision facts

  • Gemma SEA Guard 12B 2602 is #142; Llama 4 Scout is #145 on the same current language board.
  • Index scores are 29.0 for Gemma SEA Guard 12B 2602 and 27.2 for Llama 4 Scout. 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; Llama 4 Scout is Measured.
  • Weight access differs: Gemma SEA Guard 12B 2602 is restricted; Llama 4 Scout is gated.
  • ModelCap currently lists 0 providers for Gemma SEA Guard 12B 2602 and 3 for Llama 4 Scout.

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.