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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.5 397B A17B and Qwen3 Coder 30B A3B Instruct, 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

Qwen3.5 397B A17B vs Qwen3 Coder 30B A3B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3.5 397B A17B and Qwen3 Coder 30B A3B Instruct
Field
ModelCap position#27#183
Index score62.316.9
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.39$0.07
Output / 1M$2.34$0.28
Pricing statusfreshfresh
Context262K262K
Providers115
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3.5 397B A17B is #27; Qwen3 Coder 30B A3B Instruct is #183 on the same current language board.
  • Index scores are 62.3 for Qwen3.5 397B A17B and 16.9 for Qwen3 Coder 30B A3B Instruct.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $2.34 for Qwen3.5 397B A17B and $0.28 for Qwen3 Coder 30B A3B Instruct.
  • Published context is 262,144 tokens for Qwen3.5 397B A17B and 262,144 for Qwen3 Coder 30B A3B Instruct.
  • ModelCap currently lists 11 providers for Qwen3.5 397B A17B and 5 for Qwen3 Coder 30B A3B Instruct.

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.