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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M2-her and MiniMax M3, 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 M2-her vs MiniMax M3

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

Open 1200×630 evidence receipt
Factual comparison of MiniMax M2-her and MiniMax M3
Field
MiniMax M3

MiniMax

ModelCap position#88#22
Index score27.565.5
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured4 public benchmark observations across 4 boards
Input / 1M$0.30$0.30
Output / 1M$1.20$1.20
Pricing statusfreshfresh
Context66K1M
Providers112
Weight accessAPI onlyRestricted license

Decision facts

  • MiniMax M2-her is #88; MiniMax M3 is #22 on the same current language board.
  • Index scores are 27.5 for MiniMax M2-her and 65.5 for MiniMax M3.
  • Evidence differs: MiniMax M2-her is Estimated; MiniMax M3 is Measured.
  • Listed output price per 1M tokens is $1.20 for MiniMax M2-her and $1.20 for MiniMax M3.
  • Published context is 65,536 tokens for MiniMax M2-her and 1,048,576 for MiniMax M3.
  • Weight access differs: MiniMax M2-her is none; MiniMax M3 is restricted.
  • ModelCap currently lists 1 providers for MiniMax M2-her and 12 for MiniMax M3.

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.