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ModelCap

Model decision surface

Compare AI models

Start with Kimi K2.7 Code 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

Kimi K2.7 Code vs Qwen3.5 397B A17B

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

Open 1200×630 evidence receipt
Factual comparison of Kimi K2.7 Code and Qwen3.5 397B A17B
Field
Kimi K2.7 Code

Moonshot AI

ModelCap position#26#27
Index score63.262.3
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured3 public benchmark observations across 3 boards
Input / 1M$0.71$0.39
Output / 1M$3.50$2.34
Pricing statusfreshfresh
Context262K262K
Providers1411
Weight accessRestricted licenseOpen weights

Decision facts

  • Kimi K2.7 Code is #26; Qwen3.5 397B A17B is #27 on the same current language board.
  • Index scores are 63.2 for Kimi K2.7 Code and 62.3 for Qwen3.5 397B A17B.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $3.50 for Kimi K2.7 Code and $2.34 for Qwen3.5 397B A17B.
  • Published context is 262,144 tokens for Kimi K2.7 Code and 262,144 for Qwen3.5 397B A17B.
  • Weight access differs: Kimi K2.7 Code is restricted; Qwen3.5 397B A17B is open.
  • ModelCap currently lists 14 providers for Kimi K2.7 Code 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.