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ModelCap

Model decision surface

Compare AI models

Start with Hy-MT2-1.8B and Hy-MT2-7B, 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

Hy-MT2-1.8B vs Hy-MT2-7B

Live dataset updated 9/3/2026, 3:39:57 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Hy-MT2-1.8B and Hy-MT2-7B
Field
Hy-MT2-7B

Tencent

ModelCap position#72#74
Index score38.938.9
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.044$0.074
Output / 1M$0.177$0.295
Pricing statusfreshfresh
Context8K8K
Providers11
Weight accessOpen weightsOpen weights

Decision facts

  • Hy-MT2-1.8B is #72; Hy-MT2-7B is #74 on the same current language board.
  • Index scores are 38.9 for Hy-MT2-1.8B and 38.9 for Hy-MT2-7B.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $0.18 for Hy-MT2-1.8B and $0.29 for Hy-MT2-7B.
  • Published context is 8,192 tokens for Hy-MT2-1.8B and 8,192 for Hy-MT2-7B.

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.