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ModelCap

Model decision surface

Compare AI models

Start with Llama 4 Scout and MiniMax M1 80k, 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

Llama 4 Scout vs MiniMax M1 80k

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

Open 1200×630 evidence receipt
Factual comparison of Llama 4 Scout and MiniMax M1 80k
Field
ModelCap position#113#112
Index score22.422.6
EvidenceMeasured4 public benchmark observations across 4 boardsMeasured1 public benchmark observation across 1 board
Input / 1M$0.10Unavailable
Output / 1M$0.30Unavailable
Pricing statusfreshunavailable
Context1.3M1M
Providers40
Weight accessGated accessOpen weights

Decision facts

  • Llama 4 Scout is #113; MiniMax M1 80k is #112 on the same current language board.
  • Index scores are 22.4 for Llama 4 Scout and 22.6 for MiniMax M1 80k.
  • Both positions use Measured evidence.
  • Published context is 1,310,720 tokens for Llama 4 Scout and 1,000,000 for MiniMax M1 80k.
  • Weight access differs: Llama 4 Scout is gated; MiniMax M1 80k is open.
  • ModelCap currently lists 4 providers for Llama 4 Scout and 0 for MiniMax M1 80k.

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.