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ModelCap

Model decision surface

Compare AI models

Start with gemma 4 E4B it and Nemotron 3.5 Lightning, 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 E4B it vs Nemotron 3.5 Lightning

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

Open 1200×630 evidence receipt
Factual comparison of gemma 4 E4B it and Nemotron 3.5 Lightning
Field
ModelCap position#105#103
Index score43.243.4
EvidenceEstimatedpublisher-corpus-prior over 194 held-out anchors (7%); launch card against 3 resolved peers on 5 rows (93%); no cross-lab optimism probe available; shrunk 1.6 up toward the measured corpusMeasured1 public benchmark observation across 1 board
Input / 1MUnavailable$0.08
Output / 1MUnavailable$0.20
Pricing statusunavailablefresh
Context—262K
Providers04
Weight accessOpen weightsRestricted license

Decision facts

  • gemma 4 E4B it is #105; Nemotron 3.5 Lightning is #103 on the same current language board.
  • Index scores are 43.2 for gemma 4 E4B it and 43.4 for Nemotron 3.5 Lightning. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: gemma 4 E4B it is Estimated; Nemotron 3.5 Lightning is Measured.
  • Weight access differs: gemma 4 E4B it is open; Nemotron 3.5 Lightning is restricted.
  • ModelCap currently lists 0 providers for gemma 4 E4B it and 4 for Nemotron 3.5 Lightning.

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.