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ModelCap

Model decision surface

Compare AI models

Start with Qwen2.5 7B Instruct 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

Qwen2.5 7B Instruct vs Qwen3.5 397B A17B

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

Open 1200×630 evidence receipt
Factual comparison of Qwen2.5 7B Instruct and Qwen3.5 397B A17B
Field
ModelCap position#96#27
Index score23.762.3
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured3 public benchmark observations across 3 boards
Input / 1M$0.10$0.39
Output / 1M$0.20$2.34
Pricing statusfreshfresh
Context33K262K
Providers211
Weight accessOpen weightsOpen weights

Decision facts

  • Qwen2.5 7B Instruct is #96; Qwen3.5 397B A17B is #27 on the same current language board.
  • Index scores are 23.7 for Qwen2.5 7B Instruct and 62.3 for Qwen3.5 397B A17B.
  • Evidence differs: Qwen2.5 7B Instruct is Estimated; Qwen3.5 397B A17B is Measured.
  • Listed output price per 1M tokens is $0.20 for Qwen2.5 7B Instruct and $2.34 for Qwen3.5 397B A17B.
  • Published context is 32,768 tokens for Qwen2.5 7B Instruct and 262,144 for Qwen3.5 397B A17B.
  • ModelCap currently lists 2 providers for Qwen2.5 7B Instruct and 11 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.