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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M2-her and Qwen3 4B Instruct 2507, 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 4B Instruct 2507

Live dataset updated 9/3/2026, 3:06:08 AM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M2-her and Qwen3 4B Instruct 2507
Field
ModelCap position#89#115
Index score28.923.0
EvidenceEstimatedpublisher corpus prior · leave-one-anchor-out calibratedEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1M$0.30Unavailable
Output / 1M$1.20Unavailable
Pricing statusfreshunavailable
Context66K262K
Providers10
Weight accessAPI onlyOpen weights

Decision facts

  • MiniMax M2-her is #89; Qwen3 4B Instruct 2507 is #115 on the same current language board.
  • Index scores are 28.9 for MiniMax M2-her and 23.0 for Qwen3 4B Instruct 2507.
  • Both positions use Estimated evidence.
  • Published context is 65,536 tokens for MiniMax M2-her and 262,144 for Qwen3 4B Instruct 2507.
  • Weight access differs: MiniMax M2-her is none; Qwen3 4B Instruct 2507 is open.
  • ModelCap currently lists 1 providers for MiniMax M2-her and 0 for Qwen3 4B Instruct 2507.

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.