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ModelCap

Model decision surface

Compare AI models

Start with Trinity Large Thinking and Fara1.5 9B, 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 Fara1.5 9B

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Trinity Large Thinking and Fara1.5 9B
Field
Fara1.5 9B

Microsoft

ModelCap position#100#102
Index score40.239.9
EvidenceMeasured3 public benchmark observations across 3 boardsInheritedfinetune of qwen/qwen3.5-9b · finetune (100%)
Input / 1M$0.25Unavailable
Output / 1M$0.80Unavailable
Pricing statusfreshunavailable
Context262K—
Providers10
Weight accessRestricted licenseOpen weights

Decision facts

  • Trinity Large Thinking is #100; Fara1.5 9B is #102 on the same current language board.
  • Index scores are 40.2 for Trinity Large Thinking and 39.9 for Fara1.5 9B. 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; Fara1.5 9B is Inherited.
  • Weight access differs: Trinity Large Thinking is restricted; Fara1.5 9B is open.
  • ModelCap currently lists 1 providers for Trinity Large Thinking and 0 for Fara1.5 9B.

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.