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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M3 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

MiniMax M3 vs GPT-5.3-Codex

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

Open 1200×630 evidence receipt
Factual comparison of MiniMax M3 and GPT-5.3-Codex
Field
MiniMax M3

MiniMax

ModelCap position#22#20
Index score65.566.4
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.30$1.75
Output / 1M$1.20$14.00
Pricing statusfreshfresh
Context1M400K
Providers122
Weight accessRestricted licenseAPI only

Decision facts

  • MiniMax M3 is #22; GPT-5.3-Codex is #20 on the same current language board.
  • Index scores are 65.5 for MiniMax M3 and 66.4 for GPT-5.3-Codex.
  • Both positions use Measured evidence.
  • Listed output price per 1M tokens is $1.20 for MiniMax M3 and $14.00 for GPT-5.3-Codex.
  • Published context is 1,048,576 tokens for MiniMax M3 and 400,000 for GPT-5.3-Codex.
  • Weight access differs: MiniMax M3 is restricted; GPT-5.3-Codex is none.
  • ModelCap currently lists 12 providers for MiniMax M3 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.