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ModelCap

Model decision surface

Compare AI models

Start with Muse Glimmer 30B and Ornith 1.5 397B, 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

Muse Glimmer 30B vs Ornith 1.5 397B

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Muse Glimmer 30B and Ornith 1.5 397B
Field
ModelCap position#27#16
Index score70.077.3
EvidenceMeasuredpublisher-corpus-prior over 180 held-out anchors (64%); 1 specialist-board observation at 1.3% support (36%); shrunk 22.3 up toward the measured corpusEstimatedglobal-corpus-prior over 180 held-out anchors (10%); launch card against 2 resolved peers on 11 rows (90%); exceeds every named peer on 3 of 11 rows; optimism haircut 0 from cross-lab-probe; shrunk 2.6 toward the measured corpus
Input / 1M$0.30Unavailable
Output / 1M$1.10Unavailable
Pricing statusfreshunavailable
Context131K—
Providers40
Weight accessOpen weightsOpen weights

Decision facts

  • Muse Glimmer 30B is #27; Ornith 1.5 397B is #16 on the same current language board.
  • Index scores are 70.0 for Muse Glimmer 30B and 77.3 for Ornith 1.5 397B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Muse Glimmer 30B is Measured; Ornith 1.5 397B is Estimated.
  • ModelCap currently lists 4 providers for Muse Glimmer 30B and 0 for Ornith 1.5 397B.

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.