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ModelCap

Model decision surface

Compare AI models

Start with Phi 3.5 mini instruct and Nemotron 3 Content Safety, 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

Phi 3.5 mini instruct vs Nemotron 3 Content Safety

Live dataset updated 9/22/2026, 10:37:09 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Phi 3.5 mini instruct and Nemotron 3 Content Safety
Field
ModelCap position#186#189
Index score24.122.9
EvidenceEstimatedglobal-corpus-prior over 209 held-out anchors (26%); launch card against 4 resolved peers on 6 rows (74%); exceeds every named peer on 1 of 6 rows; optimism haircut 0.67 from cross-lab-probe; shrunk 11.5 up toward the measured corpusInheritedfinetune of google/gemma-3-4b-it · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsRestricted license

Decision facts

  • Phi 3.5 mini instruct is #186; Nemotron 3 Content Safety is #189 on the same current language board.
  • Index scores are 24.1 for Phi 3.5 mini instruct and 22.9 for Nemotron 3 Content Safety. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Phi 3.5 mini instruct is Estimated; Nemotron 3 Content Safety is Inherited.
  • Weight access differs: Phi 3.5 mini instruct is open; Nemotron 3 Content Safety 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.