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ModelCap

Model decision surface

Compare AI models

Start with Trinity Large Thinking and gemma 4 E2B it, 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 gemma 4 E2B it

Live dataset updated 9/13/2026, 2:40:29 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Trinity Large Thinking and gemma 4 E2B it
Field
ModelCap position#110#109
Index score40.440.5
EvidenceMeasured3 public benchmark observations across 3 boardsEstimatedpublisher-corpus-prior over 186 held-out anchors (8%); launch card against 3 resolved peers on 5 rows (92%); no cross-lab optimism probe available; shrunk 2.2 up toward the measured corpus
Input / 1M$0.25Unavailable
Output / 1M$0.80Unavailable
Pricing statusfreshunavailable
Context262K—
Providers10
Weight accessRestricted licenseOpen weights

Decision facts

  • Trinity Large Thinking is #110; gemma 4 E2B it is #109 on the same current language board.
  • Index scores are 40.4 for Trinity Large Thinking and 40.5 for gemma 4 E2B it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Trinity Large Thinking is Measured; gemma 4 E2B it is Estimated.
  • Weight access differs: Trinity Large Thinking is restricted; gemma 4 E2B it is open.
  • ModelCap currently lists 1 providers for Trinity Large Thinking and 0 for gemma 4 E2B it.

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.