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ModelCap

Model decision surface

Compare AI models

Start with Kimi K2.7 Code and Nex-N2-Mini, 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 Nex-N2-Mini

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

Open 1200×630 evidence receipt
Factual comparison of Kimi K2.7 Code and Nex-N2-Mini
Field
Kimi K2.7 Code

Moonshot AI

ModelCap position#26#25
Index score63.263.5
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1M$0.71$0.025
Output / 1M$3.50$0.10
Pricing statusfreshfresh
Context262K262K
Providers141
Weight accessRestricted licenseOpen weights

Decision facts

  • Kimi K2.7 Code is #26; Nex-N2-Mini is #25 on the same current language board.
  • Index scores are 63.2 for Kimi K2.7 Code and 63.5 for Nex-N2-Mini.
  • Evidence differs: Kimi K2.7 Code is Measured; Nex-N2-Mini is Estimated.
  • Listed output price per 1M tokens is $3.50 for Kimi K2.7 Code and $0.10 for Nex-N2-Mini.
  • Published context is 262,144 tokens for Kimi K2.7 Code and 262,144 for Nex-N2-Mini.
  • Weight access differs: Kimi K2.7 Code is restricted; Nex-N2-Mini is open.
  • ModelCap currently lists 14 providers for Kimi K2.7 Code and 1 for Nex-N2-Mini.

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.