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ModelCap

Model decision surface

Compare AI models

Start with K2 Horizon 375B A23B and LongCat 2.0, 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

K2 Horizon 375B A23B vs LongCat 2.0

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

Open 1200×630 evidence receipt
Factual comparison of K2 Horizon 375B A23B and LongCat 2.0
Field
ModelCap position#30#11
Index score67.378.0
EvidenceEstimatedglobal-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 corpusEstimatedglobal-corpus-prior over 186 held-out anchors (8%); launch card against 4 resolved peers on 6 rows (92%); no cross-lab optimism probe available; shrunk 2.3 toward the measured corpus
Input / 1MUnavailable$0.30
Output / 1MUnavailable$1.20
Pricing statusunavailablefresh
Context1M
Providers01
Weight accessOpen weightsOpen weights

Decision facts

  • K2 Horizon 375B A23B is #30; LongCat 2.0 is #11 on the same current language board.
  • Index scores are 67.3 for K2 Horizon 375B A23B and 78.0 for LongCat 2.0. 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.
  • ModelCap currently lists 0 providers for K2 Horizon 375B A23B and 1 for LongCat 2.0.

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.