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ModelCap

Model decision surface

Compare AI models

Start with Gemini 3.7 Flash and Kimi K2.7 Code, 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

Gemini 3.7 Flash vs Kimi K2.7 Code

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

Open 1200×630 evidence receipt
Factual comparison of Gemini 3.7 Flash and Kimi K2.7 Code
Field
Kimi K2.7 Code

Moonshot AI

ModelCap position#14#26
Index score73.163.2
EvidenceMeasured2 public benchmark observations across 2 boardsMeasured2 public benchmark observations across 2 boards
Input / 1M$0.375$0.71
Output / 1M$1.88$3.50
Pricing statusfreshfresh
Context1M262K
Providers214
Weight accessAPI onlyRestricted license

Decision facts

  • Gemini 3.7 Flash is #14; Kimi K2.7 Code is #26 on the same current language board.
  • Index scores are 73.1 for Gemini 3.7 Flash and 63.2 for Kimi K2.7 Code.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.88 for Gemini 3.7 Flash and $3.50 for Kimi K2.7 Code.
  • Published context is 1,048,576 tokens for Gemini 3.7 Flash and 262,144 for Kimi K2.7 Code.
  • Weight access differs: Gemini 3.7 Flash is none; Kimi K2.7 Code is restricted.
  • ModelCap currently lists 2 providers for Gemini 3.7 Flash and 14 for Kimi K2.7 Code.

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.