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ModelCap

Model decision surface

Compare AI models

Start with LFM2.5 230M and llm jp 4 33b thinking, 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

LFM2.5 230M vs llm jp 4 33b thinking

Live dataset updated 8/20/2026, 5:39:50 AM UTC

Open 1200×630 evidence receipt
Factual comparison of LFM2.5 230M and llm jp 4 33b thinking
Field
LFM2.5 230M

LiquidAI

ModelCap position#151#153
Index score21.721.7
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedEstimatedglobal corpus prior · leave-one-anchor-out calibrated
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseOpen weights

Decision facts

  • LFM2.5 230M is #151; llm jp 4 33b thinking is #153 on the same current language board.
  • Index scores are 21.7 for LFM2.5 230M and 21.7 for llm jp 4 33b thinking.
  • Both positions use Estimated evidence.
  • Weight access differs: LFM2.5 230M is restricted; llm jp 4 33b thinking is open.

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.