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ModelCap

Model decision surface

Compare AI models

Start with Gemma SEA LION v4 4B VL and MediPhi MedCode, 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 SEA LION v4 4B VL vs MediPhi MedCode

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

Open 1200×630 evidence receipt
Factual comparison of Gemma SEA LION v4 4B VL and MediPhi MedCode
Field
ModelCap position#188#193
Index score22.922.9
EvidenceInheritedfinetune of google/gemma-3-4b-it · finetune (100%)Inheritedfinetune of microsoft/Phi-3.5-mini-instruct · finetune (100%)
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context——
Providers00
Weight accessRestricted licenseOpen weights

Decision facts

  • Gemma SEA LION v4 4B VL is #188; MediPhi MedCode is #193 on the same current language board.
  • Index scores are 22.9 for Gemma SEA LION v4 4B VL and 22.9 for MediPhi MedCode. 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 SEA LION v4 4B VL is restricted; MediPhi MedCode 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.