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ModelCap

Model decision surface

Compare AI models

Start with KAT-Coder-Pro V2 and Qwen3 235B A22B Thinking 2507, 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

KAT-Coder-Pro V2 vs Qwen3 235B A22B Thinking 2507

Live dataset updated 9/3/2026, 3:28:37 AM UTC

Open 1200×630 evidence receipt
Factual comparison of KAT-Coder-Pro V2 and Qwen3 235B A22B Thinking 2507
Field
ModelCap position#57#55
Index score46.346.7
EvidenceMeasured1 public benchmark observation across 1 boardMeasured2 public benchmark observations across 2 boards
Input / 1M$0.30$0.23
Output / 1M$1.20$2.30
Pricing statusfreshfresh
Context262K131K
Providers13
Weight accessAPI onlyOpen weights

Decision facts

  • KAT-Coder-Pro V2 is #57; Qwen3 235B A22B Thinking 2507 is #55 on the same current language board.
  • Index scores are 46.3 for KAT-Coder-Pro V2 and 46.7 for Qwen3 235B A22B Thinking 2507.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.20 for KAT-Coder-Pro V2 and $2.30 for Qwen3 235B A22B Thinking 2507.
  • Published context is 262,144 tokens for KAT-Coder-Pro V2 and 131,072 for Qwen3 235B A22B Thinking 2507.
  • Weight access differs: KAT-Coder-Pro V2 is none; Qwen3 235B A22B Thinking 2507 is open.
  • ModelCap currently lists 1 providers for KAT-Coder-Pro V2 and 3 for Qwen3 235B A22B Thinking 2507.

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.