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ModelCap

Model decision surface

Compare AI models

Start with Kimi K2.7 Code and Kimi K3.1 Pro, 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 Kimi K3.1 Pro

Live dataset updated 10/24/2026, 7:29:10 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Kimi K2.7 Code and Kimi K3.1 Pro
Field
Kimi K2.7 Code

Moonshot AI

Kimi K3.1 Pro

Moonshot AI

ModelCap position#54#21
Index score64.678.6
EvidenceEstimated2 reported rows against measured corpus ladders (58%); publisher-corpus-prior over 211 held-out anchors (42%); shrunk 5.6 up toward the measured corpusEstimated1 reported rows against measured corpus ladders (61%); publisher-corpus-prior over 211 held-out anchors (39%); shrunk 4 toward the measured corpus
Input / 1M$0.671$2.00
Output / 1M$3.35$10.00
Pricing statusfreshfresh
Context262K1M
Providers111
Weight accessRestricted licenseNo linked weights

Decision facts

  • Kimi K2.7 Code is #54; Kimi K3.1 Pro is #21 on the same current language board.
  • Index scores are 64.6 for Kimi K2.7 Code and 78.6 for Kimi K3.1 Pro. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $3.35 for Kimi K2.7 Code and $10.00 for Kimi K3.1 Pro. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $3.02 for Kimi K2.7 Code versus $9.00 for Kimi K3.1 Pro. Kimi K2.7 Code costs 66.5% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
  • Published context is 262,144 tokens for Kimi K2.7 Code and 1,048,576 for Kimi K3.1 Pro.
  • Weight access differs: Kimi K2.7 Code is restricted; Kimi K3.1 Pro is none.
  • ModelCap currently lists 11 providers for Kimi K2.7 Code and 1 for Kimi K3.1 Pro.

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.