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ModelCap

Model decision surface

Compare AI models

Start with gemma 2 2b jpn it and gemma 4 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 4 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 4 E4B it
Field
ModelCap position#240#112
Index score6.345.8
EvidenceInheritedfinetune of google/gemma-2-2b-it · finetune (100%)Estimatedpublisher-corpus-prior over 203 held-out anchors (7%); launch card against 3 resolved peers on 5 rows (94%); no cross-lab optimism probe available; shrunk 1.4 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessGated accessOpen weights

Decision facts

  • gemma 2 2b jpn it is #240; gemma 4 E4B it is #112 on the same current language board.
  • Index scores are 6.3 for gemma 2 2b jpn it and 45.8 for gemma 4 E4B it. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Evidence differs: gemma 2 2b jpn it is Inherited; gemma 4 E4B it is Estimated.
  • Weight access differs: gemma 2 2b jpn it is gated; gemma 4 E4B 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.