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ModelCap

Model decision surface

Compare AI models

Start with DeepSeek V4 Flash 0731 and Ornith 1.5 397B, 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

DeepSeek V4 Flash 0731 vs Ornith 1.5 397B

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of DeepSeek V4 Flash 0731 and Ornith 1.5 397B
Field
ModelCap position#24#16
Index score72.377.3
EvidenceMeasured2 public benchmark observations across 2 boardsEstimatedglobal-corpus-prior over 180 held-out anchors (10%); launch card against 2 resolved peers on 11 rows (90%); exceeds every named peer on 3 of 11 rows; optimism haircut 0 from cross-lab-probe; shrunk 2.6 toward the measured corpus
Input / 1M$0.065Unavailable
Output / 1M$0.18Unavailable
Pricing statusfreshunavailable
Context1.3M
Providers280
Weight accessOpen weightsOpen weights

Decision facts

  • DeepSeek V4 Flash 0731 is #24; Ornith 1.5 397B is #16 on the same current language board.
  • Index scores are 72.3 for DeepSeek V4 Flash 0731 and 77.3 for Ornith 1.5 397B. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: DeepSeek V4 Flash 0731 is Measured; Ornith 1.5 397B is Estimated.
  • ModelCap currently lists 28 providers for DeepSeek V4 Flash 0731 and 0 for Ornith 1.5 397B.

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.