Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Phi 3.5 MoE instruct and Phi mini MoE 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

Phi 3.5 MoE instruct vs Phi mini MoE instruct

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

Open 1200×630 evidence receipt
Factual comparison of Phi 3.5 MoE instruct and Phi mini MoE instruct
Field
ModelCap position#165#126
Index score33.644.1
EvidenceEstimatedglobal-corpus-prior over 209 held-out anchors (42%); launch card against 4 resolved peers on 6 rows (58%); exceeds every named peer on 4 of 6 rows; optimism haircut 0.67 from cross-lab-probe; shrunk 16.7 up toward the measured corpusEstimatedglobal-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 corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • Phi 3.5 MoE instruct is #165; Phi mini MoE instruct is #126 on the same current language board.
  • Index scores are 33.6 for Phi 3.5 MoE instruct and 44.1 for Phi mini MoE 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.

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.