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ModelCap

Model decision surface

Compare AI models

Start with Ring-2.6-1T and Qwen3.6 35B A3B, 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

Ring-2.6-1T vs Qwen3.6 35B A3B

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

Open 1200×630 evidence receipt
Factual comparison of Ring-2.6-1T and Qwen3.6 35B A3B
Field
Ring-2.6-1T

InclusionAI

ModelCap position#61#59
Index score42.543.5
EvidenceMeasured1 public benchmark observation across 1 boardMeasured1 public benchmark observation across 1 board
Input / 1M$0.075$0.14
Output / 1M$0.625$1.00
Pricing statusfreshfresh
Context262K262K
Providers19
Weight accessAPI onlyOpen weights

Decision facts

  • Ring-2.6-1T is #61; Qwen3.6 35B A3B is #59 on the same current language board.
  • Index scores are 42.5 for Ring-2.6-1T and 43.5 for Qwen3.6 35B A3B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.63 for Ring-2.6-1T and $1.00 for Qwen3.6 35B A3B.
  • Published context is 262,144 tokens for Ring-2.6-1T and 262,144 for Qwen3.6 35B A3B.
  • Weight access differs: Ring-2.6-1T is none; Qwen3.6 35B A3B is open.
  • ModelCap currently lists 1 providers for Ring-2.6-1T and 9 for Qwen3.6 35B A3B.

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.