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ModelCap

Model decision surface

Compare AI models

Start with FrogBoss 32B 2510 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

FrogBoss 32B 2510 vs Phi mini MoE instruct

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

Open 1200×630 evidence receipt
Factual comparison of FrogBoss 32B 2510 and Phi mini MoE instruct
Field
ModelCap position#149#126
Index score38.644.1
EvidenceInheritedfinetune of qwen/qwen3-32b · finetune (100%)Estimatedglobal-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

  • FrogBoss 32B 2510 is #149; Phi mini MoE instruct is #126 on the same current language board.
  • Index scores are 38.6 for FrogBoss 32B 2510 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.
  • Evidence differs: FrogBoss 32B 2510 is Inherited; Phi mini MoE 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.