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ModelCap

Model decision surface

Compare AI models

Start with gemma 4 E2B it and Nemotron 3 Super, 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 Nemotron 3 Super

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of gemma 4 E2B it and Nemotron 3 Super
Field
ModelCap position#106#107
Index score39.338.9
EvidenceEstimatedpublisher-corpus-prior over 182 held-out anchors (9%); launch card against 3 resolved peers on 5 rows (91%); no cross-lab optimism probe available; shrunk 2.7 up toward the measured corpusMeasured3 public benchmark observations across 3 boards
Input / 1MUnavailable$0.085
Output / 1MUnavailable$0.40
Pricing statusunavailablefresh
Context—262K
Providers01
Weight accessOpen weightsRestricted license

Decision facts

  • gemma 4 E2B it is #106; Nemotron 3 Super is #107 on the same current language board.
  • Index scores are 39.3 for gemma 4 E2B it and 38.9 for Nemotron 3 Super. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: gemma 4 E2B it is Estimated; Nemotron 3 Super is Measured.
  • Weight access differs: gemma 4 E2B it is open; Nemotron 3 Super is restricted.
  • ModelCap currently lists 0 providers for gemma 4 E2B it and 1 for Nemotron 3 Super.

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.