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ModelCap

Model decision surface

Compare AI models

Start with GPT-4o (2024-11-20) and GPT-5.3-Codex, 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-4o (2024-11-20) vs GPT-5.3-Codex

Live dataset updated 8/17/2026, 11:13:20 PM UTC

Open 1200×630 evidence receipt
Factual comparison of GPT-4o (2024-11-20) and GPT-5.3-Codex
Field
ModelCap position#108#20
Index score22.566.4
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured1 public benchmark observation across 1 board
Input / 1M$2.50$1.75
Output / 1M$10.00$14.00
Pricing statusfreshfresh
Context128K400K
Providers12
Weight accessAPI onlyAPI only

Decision facts

  • GPT-4o (2024-11-20) is #108; GPT-5.3-Codex is #20 on the same current language board.
  • Index scores are 22.5 for GPT-4o (2024-11-20) and 66.4 for GPT-5.3-Codex.
  • Evidence differs: GPT-4o (2024-11-20) is Estimated; GPT-5.3-Codex is Measured.
  • Listed output price per 1M tokens is $10.00 for GPT-4o (2024-11-20) and $14.00 for GPT-5.3-Codex.
  • Published context is 128,000 tokens for GPT-4o (2024-11-20) and 400,000 for GPT-5.3-Codex.
  • ModelCap currently lists 1 providers for GPT-4o (2024-11-20) and 2 for GPT-5.3-Codex.

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.