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ModelCap

Model decision surface

Compare AI models

Start with Phi mini MoE instruct 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

Phi mini MoE instruct vs Nemotron 3 Super

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

Open 1200×630 evidence receipt
Factual comparison of Phi mini MoE instruct and Nemotron 3 Super
Field
ModelCap position#126#128
Index score44.143.5
EvidenceEstimatedglobal-corpus-prior over 209 held-out anchors (68%); launch card against 4 resolved peers on 3 rows (32%); exceeds every named peer on 3 of 3 rows; optimism haircut 6.91 from cross-lab-probe; shrunk 26.9 up toward the measured corpusMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.08
Output / 1MUnavailable$0.45
Pricing statusunavailablefresh
Context—262K
Providers02
Weight accessOpen weightsRestricted license

Decision facts

  • Phi mini MoE instruct is #126; Nemotron 3 Super is #128 on the same current language board.
  • Index scores are 44.1 for Phi mini MoE instruct and 43.5 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: Phi mini MoE instruct is Estimated; Nemotron 3 Super is Measured.
  • Weight access differs: Phi mini MoE instruct is open; Nemotron 3 Super is restricted.
  • ModelCap currently lists 0 providers for Phi mini MoE instruct and 2 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.