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ModelCap

Model decision surface

Compare AI models

Start with gemma 2 2b jpn it and OpenMath2 Llama3.1 8B, 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

gemma 2 2b jpn it vs OpenMath2 Llama3.1 8B

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

Open 1200×630 evidence receipt
Factual comparison of gemma 2 2b jpn it and OpenMath2 Llama3.1 8B
Field
ModelCap position#240#239
Index score6.37.1
EvidenceInheritedfinetune of google/gemma-2-2b-it · finetune (100%)Inheritedfinetune of meta-llama/Llama-3.1-8B · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessGated accessRestricted license

Decision facts

  • gemma 2 2b jpn it is #240; OpenMath2 Llama3.1 8B is #239 on the same current language board.
  • Index scores are 6.3 for gemma 2 2b jpn it and 7.1 for OpenMath2 Llama3.1 8B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Inherited evidence.
  • Weight access differs: gemma 2 2b jpn it is gated; OpenMath2 Llama3.1 8B 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.