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ModelCap

Model decision surface

Compare AI models

Start with Ring-2.6-1T and Step 3.7 Flash, 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 Step 3.7 Flash

Live dataset updated 8/20/2026, 5:39:50 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Ring-2.6-1T and Step 3.7 Flash
Field
Ring-2.6-1T

InclusionAI

ModelCap position#66#69
Index score42.539.6
EvidenceMeasured1 public benchmark observation across 1 boardMeasured1 public benchmark observation across 1 board
Input / 1M$0.075$0.20
Output / 1M$0.625$1.15
Pricing statusfreshfresh
Context262K262K
Providers13
Weight accessAPI onlyOpen weights

Decision facts

  • Ring-2.6-1T is #66; Step 3.7 Flash is #69 on the same current language board.
  • Index scores are 42.5 for Ring-2.6-1T and 39.6 for Step 3.7 Flash.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.63 for Ring-2.6-1T and $1.15 for Step 3.7 Flash.
  • Published context is 262,144 tokens for Ring-2.6-1T and 262,144 for Step 3.7 Flash.
  • Weight access differs: Ring-2.6-1T is none; Step 3.7 Flash is open.
  • ModelCap currently lists 1 providers for Ring-2.6-1T and 3 for Step 3.7 Flash.

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.