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ModelCap

Model decision surface

Compare AI models

Start with MiniMax M1 80k 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 M1 80k vs Qwen3 4B Instruct 2507

Live dataset updated 8/22/2026, 12:43:30 PM UTC

Open 1200×630 evidence receipt
Factual comparison of MiniMax M1 80k and Qwen3 4B Instruct 2507
Field
ModelCap position#112#109
Index score22.623.7
EvidenceMeasured1 public benchmark observation across 1 boardEstimatedstart rank interpolated from the launch card's own comparison table against resolved catalogue peers, discounted for measured cross-lab optimism
Input / 1MUnavailableUnavailable
Output / 1MUnavailableUnavailable
Pricing statusunavailableunavailable
Context1M262K
Providers00
Weight accessOpen weightsOpen weights

Decision facts

  • MiniMax M1 80k is #112; Qwen3 4B Instruct 2507 is #109 on the same current language board.
  • Index scores are 22.6 for MiniMax M1 80k and 23.7 for Qwen3 4B Instruct 2507.
  • Evidence differs: MiniMax M1 80k is Measured; Qwen3 4B Instruct 2507 is Estimated.
  • Published context is 1,000,000 tokens for MiniMax M1 80k and 262,144 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.