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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M2-her and Qwen3 32B, 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 Qwen3 32B

Live dataset updated 9/3/2026, 2:54:47 AM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M2-her and Qwen3 32B
Field
ModelCap position#89#88
Index score28.928.9
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured2 public benchmark observations across 2 boards
Input / 1M$0.30$0.08
Output / 1M$1.20$0.28
Pricing statusfreshfresh
Context66K131K
Providers13
Weight accessAPI onlyOpen weights

Decision facts

  • MiniMax M2-her is #89; Qwen3 32B is #88 on the same current language board.
  • Index scores are 28.9 for MiniMax M2-her and 28.9 for Qwen3 32B.
  • Evidence differs: MiniMax M2-her is Estimated; Qwen3 32B is Measured.
  • Listed output price per 1M tokens is $1.20 for MiniMax M2-her and $0.28 for Qwen3 32B.
  • Published context is 65,536 tokens for MiniMax M2-her and 131,072 for Qwen3 32B.
  • Weight access differs: MiniMax M2-her is none; Qwen3 32B is open.
  • ModelCap currently lists 1 providers for MiniMax M2-her and 3 for Qwen3 32B.

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.