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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M2-her and Qwen3.5-9B, 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 Qwen3.5-9B

Live dataset updated 8/19/2026, 2:38:10 AM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M2-her and Qwen3.5-9B
Field
ModelCap position#88#85
Index score27.728.6
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedMeasured1 public benchmark observation across 1 board
Input / 1M$0.30$0.10
Output / 1M$1.20$0.15
Pricing statusfreshfresh
Context66K262K
Providers15
Weight accessAPI onlyOpen weights

Decision facts

  • MiniMax M2-her is #88; Qwen3.5-9B is #85 on the same current language board.
  • Index scores are 27.7 for MiniMax M2-her and 28.6 for Qwen3.5-9B.
  • Evidence differs: MiniMax M2-her is Estimated; Qwen3.5-9B is Measured.
  • Listed output price per 1M tokens is $1.20 for MiniMax M2-her and $0.15 for Qwen3.5-9B.
  • Published context is 65,536 tokens for MiniMax M2-her and 262,144 for Qwen3.5-9B.
  • Weight access differs: MiniMax M2-her is none; Qwen3.5-9B is open.
  • ModelCap currently lists 1 providers for MiniMax M2-her and 5 for Qwen3.5-9B.

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.