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ModelCap

Model decision surface

Compare AI models

Start with gemma 2 2b jpn it and gemma 3n E4B 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 2b jpn it vs gemma 3n E4B it

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

Open 1200×630 evidence receipt
Factual comparison of gemma 2 2b jpn it and gemma 3n E4B it
Field
ModelCap position#240#173
Index score6.326.4
EvidenceInheritedfinetune of google/gemma-2-2b-it · finetune (100%)Measured2 public benchmark observations across 2 boards
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context—33K
Providers00
Weight accessGated accessGated access

Decision facts

  • gemma 2 2b jpn it is #240; gemma 3n E4B it is #173 on the same current language board.
  • Index scores are 6.3 for gemma 2 2b jpn it and 26.4 for gemma 3n E4B 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 2b jpn it is Inherited; gemma 3n E4B it is Measured.

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.