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ModelCap

Model decision surface

Compare AI models

Start with Gemma 3n 4B and GLM 4.6V Flash, 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 3n 4B vs GLM 4.6V Flash

Live dataset updated 8/18/2026, 2:44:10 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemma 3n 4B and GLM 4.6V Flash
Field
ModelCap position#177#174
Index score20.421.4
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedglobal corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.06Unavailable
Output / 1M$0.12Unavailable
Pricing statusfreshunavailable
Context33K131K
Providers10
Weight accessGated accessOpen weights

Decision facts

  • Gemma 3n 4B is #177; GLM 4.6V Flash is #174 on the same current language board.
  • Index scores are 20.4 for Gemma 3n 4B and 21.4 for GLM 4.6V Flash.
  • Evidence differs: Gemma 3n 4B is Measured; GLM 4.6V Flash is Estimated.
  • Published context is 32,768 tokens for Gemma 3n 4B and 131,072 for GLM 4.6V Flash.
  • Weight access differs: Gemma 3n 4B is gated; GLM 4.6V Flash is open.
  • ModelCap currently lists 1 providers for Gemma 3n 4B and 0 for GLM 4.6V Flash.

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.