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ModelCap

Model decision surface

Compare AI models

Start with Qwen3 235B A22B and Qwen3.5 397B A17B, 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 Qwen3.5 397B A17B

Live dataset updated 11/7/2026, 12:54:46 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Qwen3 235B A22B and Qwen3.5 397B A17B
Field
ModelCap position#110#48
Index score53.468.6
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1MUnavailable$0.50
Output / 1MUnavailable$3.60
Pricing statusemptyfresh
Context131K262K
Providers010
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3 235B A22B is #110; Qwen3.5 397B A17B is #48 on the same current language board.
  • Index scores are 53.4 for Qwen3 235B A22B and 68.6 for Qwen3.5 397B A17B. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
  • Both positions use Measured evidence.
  • Published context is 131,072 tokens for Qwen3 235B A22B and 262,144 for Qwen3.5 397B A17B.
  • ModelCap currently lists 0 providers for Qwen3 235B A22B and 10 for Qwen3.5 397B A17B.

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.