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ModelCap

Model decision surface

Compare AI models

Start with gemma 2 9b it and gemma 3n E2B it, 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 2 9b it vs gemma 3n E2B it

Live dataset updated 9/22/2026, 3:10:38 AM UTC

Open 1200×630 evidence receipt
Factual comparison of gemma 2 9b it and gemma 3n E2B it
Field
ModelCap position#206#180
Index score15.925.2
EvidenceMeasured1 public benchmark observation across 1 boardInheritedfinetune of google/gemma-3n-E4B-it · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessGated accessGated access

Decision facts

  • gemma 2 9b it is #206; gemma 3n E2B it is #180 on the same current language board.
  • Index scores are 15.9 for gemma 2 9b it and 25.2 for gemma 3n E2B it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: gemma 2 9b it is Measured; gemma 3n E2B it is Inherited.

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.