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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.3-Codex and GLM 5.2, 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 GLM 5.2

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

Open 1200×630 evidence receipt
Factual comparison of GPT-5.3-Codex and GLM 5.2
Field
ModelCap position#20#11
Index score66.473.8
EvidenceMeasured1 public benchmark observation across 1 boardMeasured5 public benchmark observations across 5 boards
Input / 1M$1.75$0.462
Output / 1M$14.00$1.45
Pricing statusfreshfresh
Context400K1M
Providers227
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.3-Codex is #20; GLM 5.2 is #11 on the same current language board.
  • Index scores are 66.4 for GPT-5.3-Codex and 73.8 for GLM 5.2.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $14.00 for GPT-5.3-Codex and $1.45 for GLM 5.2.
  • Published context is 400,000 tokens for GPT-5.3-Codex and 1,048,576 for GLM 5.2.
  • Weight access differs: GPT-5.3-Codex is none; GLM 5.2 is open.
  • ModelCap currently lists 2 providers for GPT-5.3-Codex and 27 for GLM 5.2.

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.