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ModelCap

Model decision surface

Compare AI models

Start with MAI DS R1 and Phi 3.5 mini 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

MAI DS R1 vs Phi 3.5 mini instruct

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

Open 1200×630 evidence receipt
Factual comparison of MAI DS R1 and Phi 3.5 mini instruct
Field
MAI DS R1

Microsoft

ModelCap position#99#186
Index score53.324.1
EvidenceInheritedfinetune of deepseek/deepseek-r1 · finetune (100%)Estimatedglobal-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 corpus
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • MAI DS R1 is #99; Phi 3.5 mini instruct is #186 on the same current language board.
  • Index scores are 53.3 for MAI DS R1 and 24.1 for Phi 3.5 mini instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: MAI DS R1 is Inherited; Phi 3.5 mini instruct is Estimated.

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.