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ModelCap

Model decision surface

Compare AI models

Start with gemma 4 E2B it and Falcon H1 34B Instruct, 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 4 E2B it vs Falcon H1 34B Instruct

Live dataset updated 9/15/2026, 9:19:37 PM UTC

Open 1200×630 evidence receipt
Factual comparison of gemma 4 E2B it and Falcon H1 34B Instruct
Field
ModelCap position#112#120
Index score41.239.8
EvidenceEstimatedpublisher-corpus-prior over 194 held-out anchors (8%); launch card against 3 resolved peers on 5 rows (92%); no cross-lab optimism probe available; shrunk 2.1 up toward the measured corpusEstimatedglobal-corpus-prior over 194 held-out anchors (49%); launch card against 5 resolved peers on 11 rows (51%); exceeds every named peer on 3 of 11 rows; optimism haircut 0 from cross-lab-probe; shrunk 12 up toward the measured corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsRestricted license

Decision facts

  • gemma 4 E2B it is #112; Falcon H1 34B Instruct is #120 on the same current language board.
  • Index scores are 41.2 for gemma 4 E2B it and 39.8 for Falcon H1 34B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Estimated evidence.
  • Weight access differs: gemma 4 E2B it is open; Falcon H1 34B Instruct is restricted.

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.