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ModelCap

Model decision surface

Compare AI models

Start with Gemini 3.1 Pro Preview and K2 Horizon 375B A23B, 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 3.1 Pro Preview vs K2 Horizon 375B A23B

Live dataset updated 9/13/2026, 2:40:29 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemini 3.1 Pro Preview and K2 Horizon 375B A23B
Field
ModelCap position#12#30
Index score77.867.3
EvidenceMeasured4 public benchmark observations across 4 boardsEstimatedglobal-corpus-prior over 186 held-out anchors (21%); launch card against 6 resolved peers on 11 rows (79%); optimism haircut 0 from cross-lab-probe; shrunk 4.1 toward the measured corpus
Input / 1M$2.00Unavailable
Output / 1M$12.00Unavailable
Pricing statusfreshunavailable
Context1M
Providers20
Weight accessAPI onlyOpen weights

Decision facts

  • Gemini 3.1 Pro Preview is #12; K2 Horizon 375B A23B is #30 on the same current language board.
  • Index scores are 77.8 for Gemini 3.1 Pro Preview and 67.3 for K2 Horizon 375B A23B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemini 3.1 Pro Preview is Measured; K2 Horizon 375B A23B is Estimated.
  • Weight access differs: Gemini 3.1 Pro Preview is none; K2 Horizon 375B A23B is open.
  • ModelCap currently lists 2 providers for Gemini 3.1 Pro Preview and 0 for K2 Horizon 375B A23B.

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.