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ModelCap

Model decision surface

Compare AI models

Start with gemma 3n E2B it and gemma 4 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 3n E2B it vs gemma 4 E2B it

Live dataset updated 9/13/2026, 2:40:29 PM UTC

Open 1200×630 evidence receipt
Factual comparison of gemma 3n E2B it and gemma 4 E2B it
Field
ModelCap position#162#109
Index score22.540.5
EvidenceInheritedfinetune of google/gemma-3n-E4B-it · finetune (100%)Estimatedpublisher-corpus-prior over 186 held-out anchors (8%); launch card against 3 resolved peers on 5 rows (92%); no cross-lab optimism probe available; shrunk 2.2 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessGated accessOpen weights

Decision facts

  • gemma 3n E2B it is #162; gemma 4 E2B it is #109 on the same current language board.
  • Index scores are 22.5 for gemma 3n E2B it and 40.5 for gemma 4 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 3n E2B it is Inherited; gemma 4 E2B it is Estimated.
  • Weight access differs: gemma 3n E2B it is gated; gemma 4 E2B it is open.

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.