Skip to content
ModelCap

Model decision surface

Compare AI models

Start with Trinity Large Thinking and GLM 4.7 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

Trinity Large Thinking vs GLM 4.7 Flash

Live dataset updated 8/17/2026, 11:01:50 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Trinity Large Thinking and GLM 4.7 Flash
Field
ModelCap position#70#67
Index score36.938.0
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.22$0.06
Output / 1M$0.85$0.40
Pricing statusfreshfresh
Context262K203K
Providers24
Weight accessRestricted licenseOpen weights

Decision facts

  • Trinity Large Thinking is #70; GLM 4.7 Flash is #67 on the same current language board.
  • Index scores are 36.9 for Trinity Large Thinking and 38.0 for GLM 4.7 Flash.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.85 for Trinity Large Thinking and $0.40 for GLM 4.7 Flash.
  • Published context is 262,144 tokens for Trinity Large Thinking and 202,752 for GLM 4.7 Flash.
  • Weight access differs: Trinity Large Thinking is restricted; GLM 4.7 Flash is open.
  • ModelCap currently lists 2 providers for Trinity Large Thinking and 4 for GLM 4.7 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.