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ModelCap

Model decision surface

Compare AI models

Start with Olmo 3.1 32B Think and OpenMath2 Llama3.1 70B, 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 OpenMath2 Llama3.1 70B

Live dataset updated 9/22/2026, 3:10:38 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Olmo 3.1 32B Think and OpenMath2 Llama3.1 70B
Field
Olmo 3.1 32B Think

Allen Institute

ModelCap position#192#195
Index score19.919.5
EvidenceMeasured2 public benchmark observations across 2 boardsInheritedfinetune of meta-llama/Llama-3.1-70B · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessOpen weightsRestricted license

Decision facts

  • Olmo 3.1 32B Think is #192; OpenMath2 Llama3.1 70B is #195 on the same current language board.
  • Index scores are 19.9 for Olmo 3.1 32B Think and 19.5 for OpenMath2 Llama3.1 70B. 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; OpenMath2 Llama3.1 70B is Inherited.
  • Weight access differs: Olmo 3.1 32B Think is open; OpenMath2 Llama3.1 70B 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.