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ModelCap

Model decision surface

Compare AI models

Start with Qwen3.5-122B-A10B and Qwen3.5-9B, 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

Qwen3.5-122B-A10B vs Qwen3.5-9B

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

Open 1200×630 evidence receipt
Factual comparison of Qwen3.5-122B-A10B and Qwen3.5-9B
Field
ModelCap position#41#83
Index score53.628.6
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.29$0.10
Output / 1M$2.40$0.15
Pricing statusfreshfresh
Context262K262K
Providers55
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen3.5-122B-A10B is #41; Qwen3.5-9B is #83 on the same current language board.
  • Index scores are 53.6 for Qwen3.5-122B-A10B and 28.6 for Qwen3.5-9B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $2.40 for Qwen3.5-122B-A10B and $0.15 for Qwen3.5-9B.
  • Published context is 262,144 tokens for Qwen3.5-122B-A10B and 262,144 for Qwen3.5-9B.

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.