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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 VL 235B A22B Thinking 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

Qwen3 VL 235B A22B Thinking vs Step 3.7 Flash

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3 VL 235B A22B Thinking and Step 3.7 Flash
Field
ModelCap position#55#66
Index score46.339.6
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.40$0.20
Output / 1M$4.00$1.15
Pricing statusfreshfresh
Context131K262K
Providers23
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 VL 235B A22B Thinking is #55; Step 3.7 Flash is #66 on the same current language board.
  • Index scores are 46.3 for Qwen3 VL 235B A22B Thinking and 39.6 for Step 3.7 Flash.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $4.00 for Qwen3 VL 235B A22B Thinking and $1.15 for Step 3.7 Flash.
  • Published context is 131,072 tokens for Qwen3 VL 235B A22B Thinking and 262,144 for Step 3.7 Flash.
  • ModelCap currently lists 2 providers for Qwen3 VL 235B A22B Thinking 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.