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ModelCap

Model decision surface

Compare AI models

Start with Trinity Large Thinking and Hy Embodied VLM 1.0, 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 Hy Embodied VLM 1.0

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Trinity Large Thinking and Hy Embodied VLM 1.0
Field
ModelCap position#70#73
Index score36.936.7
EvidenceMeasured3 public benchmark observations across 3 boardsEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.22Unavailable
Output / 1M$0.85Unavailable
Pricing statusfreshunavailable
Context262K—
Providers20
Weight accessRestricted licenseOpen weights

Decision facts

  • Trinity Large Thinking is #70; Hy Embodied VLM 1.0 is #73 on the same current language board.
  • Index scores are 36.9 for Trinity Large Thinking and 36.7 for Hy Embodied VLM 1.0.
  • Evidence differs: Trinity Large Thinking is Measured; Hy Embodied VLM 1.0 is Estimated.
  • Weight access differs: Trinity Large Thinking is restricted; Hy Embodied VLM 1.0 is open.
  • ModelCap currently lists 2 providers for Trinity Large Thinking and 0 for Hy Embodied VLM 1.0.

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.