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ModelCap

Model decision surface

Compare AI models

Start with Jamba Large 1.7 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

Jamba Large 1.7 vs MiniMax M1 80k

Live dataset updated 8/18/2026, 4:14:24 AM UTC

Open 1200×630 evidence receipt
Factual comparison of Jamba Large 1.7 and MiniMax M1 80k
Field
ModelCap position#115#114
Index score21.422.0
EvidenceEstimatedglobal corpus prior · leave-one-anchor-out calibratedMeasured1 public benchmark observation across 1 board
Input / 1M$2.00Unavailable
Output / 1M$8.00Unavailable
Pricing statusfreshunavailable
Context256K1M
Providers10
Weight accessGated accessOpen weights

Decision facts

  • Jamba Large 1.7 is #115; MiniMax M1 80k is #114 on the same current language board.
  • Index scores are 21.4 for Jamba Large 1.7 and 22.0 for MiniMax M1 80k.
  • Evidence differs: Jamba Large 1.7 is Estimated; MiniMax M1 80k is Measured.
  • Published context is 256,000 tokens for Jamba Large 1.7 and 1,000,000 for MiniMax M1 80k.
  • Weight access differs: Jamba Large 1.7 is gated; MiniMax M1 80k is open.
  • ModelCap currently lists 1 providers for Jamba Large 1.7 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.