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ModelCap

Model decision surface

Compare AI models

Start with MiniMax-01 and Qwen2.5 Coder 32B Instruct, 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 Qwen2.5 Coder 32B Instruct

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

Open 1200×630 evidence receipt
Factual comparison of MiniMax-01 and Qwen2.5 Coder 32B Instruct
Field
MiniMax-01

MiniMax

ModelCap position#189#191
Index score13.811.8
EvidenceEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimismMeasured3 public benchmark observations across 3 boards
Input / 1M$0.20$0.66
Output / 1M$1.10$1.00
Pricing statusfreshfresh
Context1M33K
Providers11
Weight accessLicense unverifiedOpen weights

Decision facts

  • MiniMax-01 is #189; Qwen2.5 Coder 32B Instruct is #191 on the same current language board.
  • Index scores are 13.8 for MiniMax-01 and 11.8 for Qwen2.5 Coder 32B Instruct.
  • Evidence differs: MiniMax-01 is Estimated; Qwen2.5 Coder 32B Instruct is Measured.
  • Listed output price per 1M tokens is $1.10 for MiniMax-01 and $1.00 for Qwen2.5 Coder 32B Instruct.
  • Published context is 1,000,192 tokens for MiniMax-01 and 32,768 for Qwen2.5 Coder 32B Instruct.
  • Weight access differs: MiniMax-01 is unknown; Qwen2.5 Coder 32B Instruct is open.

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.