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ModelCap

Model decision surface

Compare AI models

Start with Trinity Large Thinking and Ling 3.0 tiny, 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 Ling 3.0 tiny

Live dataset updated 9/17/2026, 7:03:55 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Trinity Large Thinking and Ling 3.0 tiny
Field
Ling 3.0 tiny

InclusionAI

ModelCap position#113#111
Index score41.341.7
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.25Unavailable
Output / 1M$0.80Unavailable
Pricing statusfreshunavailable
Context262K—
Providers10
Weight accessRestricted licenseOpen weights

Decision facts

  • Trinity Large Thinking is #113; Ling 3.0 tiny is #111 on the same current language board.
  • Index scores are 41.3 for Trinity Large Thinking and 41.7 for Ling 3.0 tiny. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Measured evidence.
  • Weight access differs: Trinity Large Thinking is restricted; Ling 3.0 tiny is open.
  • ModelCap currently lists 1 providers for Trinity Large Thinking and 0 for Ling 3.0 tiny.

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.