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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.3-Codex 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

GPT-5.3-Codex vs Ornith 1.5 397B

Live dataset updated 8/20/2026, 5:39:50 AM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-5.3-Codex and Ornith 1.5 397B
Field
ModelCap position#21#12
Index score66.474.2
EvidenceMeasured1 public benchmark observation across 1 boardEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1M$1.75Unavailable
Output / 1M$14.00Unavailable
Pricing statusfreshunavailable
Context400K
Providers20
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.3-Codex is #21; Ornith 1.5 397B is #12 on the same current language board.
  • Index scores are 66.4 for GPT-5.3-Codex and 74.2 for Ornith 1.5 397B.
  • Evidence differs: GPT-5.3-Codex is Measured; Ornith 1.5 397B is Estimated.
  • Weight access differs: GPT-5.3-Codex is none; Ornith 1.5 397B is open.
  • ModelCap currently lists 2 providers for GPT-5.3-Codex 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.