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ModelCap

Model decision surface

Compare AI models

Start with Ling-2.6-1T and GLM 4.6V, 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

Ling-2.6-1T vs GLM 4.6V

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

Open 1200×630 evidence receipt
Factual comparison of Ling-2.6-1T and GLM 4.6V
Field
Ling-2.6-1T

InclusionAI

ModelCap position#74#77
Index score36.033.3
EvidenceMeasured1 public benchmark observation across 1 boardMeasured3 public benchmark observations across 3 boards
Input / 1M$0.075$0.30
Output / 1M$0.625$0.90
Pricing statusfreshfresh
Context262K131K
Providers12
Weight accessAPI onlyOpen weights

Decision facts

  • Ling-2.6-1T is #74; GLM 4.6V is #77 on the same current language board.
  • Index scores are 36.0 for Ling-2.6-1T and 33.3 for GLM 4.6V.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.63 for Ling-2.6-1T and $0.90 for GLM 4.6V.
  • Published context is 262,144 tokens for Ling-2.6-1T and 131,072 for GLM 4.6V.
  • Weight access differs: Ling-2.6-1T is none; GLM 4.6V is open.
  • ModelCap currently lists 1 providers for Ling-2.6-1T and 2 for GLM 4.6V.

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.