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ModelCap

Model decision surface

Compare AI models

Start with GPT-5.3-Codex and Inkling, 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 Inkling

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

Open 1200×630 evidence receipt
Factual comparison of GPT-5.3-Codex and Inkling
Field
Inkling

Thinking Machines

ModelCap position#20#24
Index score66.464.0
EvidenceMeasured1 public benchmark observation across 1 boardMeasured5 public benchmark observations across 5 boards
Input / 1M$1.75$0.95
Output / 1M$14.00$4.05
Pricing statusfreshfresh
Context400K1M
Providers23
Weight accessAPI onlyOpen weights

Decision facts

  • GPT-5.3-Codex is #20; Inkling is #24 on the same current language board.
  • Index scores are 66.4 for GPT-5.3-Codex and 64.0 for Inkling.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $14.00 for GPT-5.3-Codex and $4.05 for Inkling.
  • Published context is 400,000 tokens for GPT-5.3-Codex and 1,048,576 for Inkling.
  • Weight access differs: GPT-5.3-Codex is none; Inkling is open.
  • ModelCap currently lists 2 providers for GPT-5.3-Codex and 3 for Inkling.

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.