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ModelCap

Model decision surface

Compare AI models

Start with Olmo 3.1 32B Think and Arcee SuperNova v1, 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

Olmo 3.1 32B Think vs Arcee SuperNova v1

Live dataset updated 9/14/2026, 10:53:04 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Olmo 3.1 32B Think and Arcee SuperNova v1
Field
Olmo 3.1 32B Think

Allen Institute

ModelCap position#174#173
Index score17.717.8
EvidenceMeasured2 public benchmark observations across 2 boardsInheritedfinetune of meta-llama/llama-3.1-70b-instruct · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsRestricted license

Decision facts

  • Olmo 3.1 32B Think is #174; Arcee SuperNova v1 is #173 on the same current language board.
  • Index scores are 17.7 for Olmo 3.1 32B Think and 17.8 for Arcee SuperNova v1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Olmo 3.1 32B Think is Measured; Arcee SuperNova v1 is Inherited.
  • Weight access differs: Olmo 3.1 32B Think is open; Arcee SuperNova v1 is restricted.

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.