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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 235B A22B and GLM 4.7 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

Qwen3 235B A22B vs GLM 4.7 Flash

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3 235B A22B and GLM 4.7 Flash
Field
ModelCap position#65#67
Index score40.038.0
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.455$0.06
Output / 1M$1.82$0.40
Pricing statusfreshfresh
Context131K203K
Providers14
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 235B A22B is #65; GLM 4.7 Flash is #67 on the same current language board.
  • Index scores are 40.0 for Qwen3 235B A22B and 38.0 for GLM 4.7 Flash.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.82 for Qwen3 235B A22B and $0.40 for GLM 4.7 Flash.
  • Published context is 131,072 tokens for Qwen3 235B A22B and 202,752 for GLM 4.7 Flash.
  • ModelCap currently lists 1 providers for Qwen3 235B A22B and 4 for GLM 4.7 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.