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ModelCap

Model decision surface

Compare AI models

Start with MiniMax-01 and MiniMax M2-her, 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-01 vs MiniMax M2-her

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

Open 1200×630 evidence receipt
Factual comparison of MiniMax-01 and MiniMax M2-her
Field
MiniMax-01

MiniMax

ModelCap position#189#88
Index score13.827.5
EvidenceEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimismEstimatedpublisher corpus prior · leave-one-anchor-out calibrated
Input / 1M$0.20$0.30
Output / 1M$1.10$1.20
Pricing statusfreshfresh
Context1M66K
Providers11
Weight accessLicense unverifiedAPI only

Decision facts

  • MiniMax-01 is #189; MiniMax M2-her is #88 on the same current language board.
  • Index scores are 13.8 for MiniMax-01 and 27.5 for MiniMax M2-her.
  • Both positions use Estimated evidence.
  • Listed output price per 1M tokens is $1.10 for MiniMax-01 and $1.20 for MiniMax M2-her.
  • Published context is 1,000,192 tokens for MiniMax-01 and 65,536 for MiniMax M2-her.
  • Weight access differs: MiniMax-01 is unknown; MiniMax M2-her is none.

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.