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ModelCap

Model decision surface

Compare AI models

Start with Ling-2.6-1T and Qwen3 Coder 30B A3B Instruct, 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 Qwen3 Coder 30B A3B Instruct

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Ling-2.6-1T and Qwen3 Coder 30B A3B Instruct
Field
Ling-2.6-1T

InclusionAI

ModelCap position#74#185
Index score36.016.9
EvidenceMeasured1 public benchmark observation across 1 boardMeasured1 public benchmark observation across 1 board
Input / 1M$0.075$0.07
Output / 1M$0.625$0.28
Pricing statusfreshfresh
Context262K262K
Providers15
Weight accessAPI onlyOpen weights

Decision facts

  • Ling-2.6-1T is #74; Qwen3 Coder 30B A3B Instruct is #185 on the same current language board.
  • Index scores are 36.0 for Ling-2.6-1T and 16.9 for Qwen3 Coder 30B A3B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $0.63 for Ling-2.6-1T and $0.28 for Qwen3 Coder 30B A3B Instruct.
  • Published context is 262,144 tokens for Ling-2.6-1T and 262,144 for Qwen3 Coder 30B A3B Instruct.
  • Weight access differs: Ling-2.6-1T is none; Qwen3 Coder 30B A3B Instruct is open.
  • ModelCap currently lists 1 providers for Ling-2.6-1T and 5 for Qwen3 Coder 30B A3B Instruct.

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.