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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 235B A22B Thinking 2507 and Qwen3.7 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 Thinking 2507 vs Qwen3.7 Flash

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3 235B A22B Thinking 2507 and Qwen3.7 Flash
Field
ModelCap position#53#102
Index score46.523.7
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.23$0.03
Output / 1M$2.30$0.13
Pricing statusfreshfresh
Context262K1M
Providers41
Weight accessOpen weightsAPI only

Decision facts

  • Qwen3 235B A22B Thinking 2507 is #53; Qwen3.7 Flash is #102 on the same current language board.
  • Index scores are 46.5 for Qwen3 235B A22B Thinking 2507 and 23.7 for Qwen3.7 Flash.
  • Evidence differs: Qwen3 235B A22B Thinking 2507 is Measured; Qwen3.7 Flash is Estimated.
  • Listed output price per 1M tokens is $2.30 for Qwen3 235B A22B Thinking 2507 and $0.13 for Qwen3.7 Flash.
  • Published context is 262,144 tokens for Qwen3 235B A22B Thinking 2507 and 1,000,000 for Qwen3.7 Flash.
  • Weight access differs: Qwen3 235B A22B Thinking 2507 is open; Qwen3.7 Flash is none.
  • ModelCap currently lists 4 providers for Qwen3 235B A22B Thinking 2507 and 1 for Qwen3.7 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.