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ModelCap

Model decision surface

Compare AI models

Start with Ling 3.0 Flash Fin 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

Ling 3.0 Flash Fin vs MiniMax M1 80k

Live dataset updated 9/9/2026, 9:50:24 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Ling 3.0 Flash Fin and MiniMax M1 80k
Field
ModelCap position#85#70
Index score47.252.1
EvidenceInheritedfinetune of inclusionai/ling-3.0-flash · finetune (100%)Estimatedglobal-corpus-prior over 180 held-out anchors (20%); launch card against 5 resolved peers on 9 rows (81%); exceeds every named peer on 1 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.5 up toward the measured corpus
Input / 1M$0.06Unavailable
Output / 1M$0.18Unavailable
Pricing statusfreshunavailable
Context262K1M
Providers10
Weight accessOpen weightsOpen weights

Decision facts

  • Ling 3.0 Flash Fin is #85; MiniMax M1 80k is #70 on the same current language board.
  • Index scores are 47.2 for Ling 3.0 Flash Fin and 52.1 for MiniMax M1 80k. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Ling 3.0 Flash Fin is Inherited; MiniMax M1 80k is Estimated.
  • Published context is 262,144 tokens for Ling 3.0 Flash Fin and 1,000,000 for MiniMax M1 80k.
  • ModelCap currently lists 1 providers for Ling 3.0 Flash Fin 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.