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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M2-her and MiniMax M1 80k, 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 M1 80k

Live dataset updated 8/18/2026, 3:36:20 AM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M2-her and MiniMax M1 80k
Field
ModelCap position#89#114
Index score27.522.0
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured1 public benchmark observation across 1 board
Input / 1M$0.30Unavailable
Output / 1M$1.20Unavailable
Pricing statusfreshunavailable
Context66K1M
Providers10
Weight accessAPI onlyOpen weights

Decision facts

  • MiniMax M2-her is #89; MiniMax M1 80k is #114 on the same current language board.
  • Index scores are 27.5 for MiniMax M2-her and 22.0 for MiniMax M1 80k.
  • Evidence differs: MiniMax M2-her is Estimated; MiniMax M1 80k is Measured.
  • Published context is 65,536 tokens for MiniMax M2-her and 1,000,000 for MiniMax M1 80k.
  • Weight access differs: MiniMax M2-her is none; MiniMax M1 80k is open.
  • ModelCap currently lists 1 providers for MiniMax M2-her and 0 for MiniMax M1 80k.

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.