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ModelCap

Model decision surface

Compare AI models

Start with OLMo 7B Instruct and Llama 3.2 1B 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

OLMo 7B Instruct vs Llama 3.2 1B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of OLMo 7B Instruct and Llama 3.2 1B Instruct
Field
OLMo 7B Instruct

Allen Institute

ModelCap position#258#257
Index score2.53.3
EvidenceMeasured1 public benchmark observation across 1 boardMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.027
Output / 1MUnavailable$0.201
Pricing statusunavailablefresh
Context—60K
Providers01
Weight accessOpen weightsGated access

Decision facts

  • OLMo 7B Instruct is #258; Llama 3.2 1B Instruct is #257 on the same current language board.
  • Index scores are 2.5 for OLMo 7B Instruct and 3.3 for Llama 3.2 1B Instruct. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.
  • Weight access differs: OLMo 7B Instruct is open; Llama 3.2 1B Instruct is gated.
  • ModelCap currently lists 0 providers for OLMo 7B Instruct and 1 for Llama 3.2 1B Instruct.

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.