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Start with MiniMax M1 80k and Inkling Small, 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.

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Current public data

MiniMax M1 80k vs Inkling Small

Live dataset updated 9/15/2026, 9:19:37 PM UTC

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Factual comparison of MiniMax M1 80k and Inkling Small
Field	MiniMax M1 80k MiniMaxAI	Inkling Small Thinking Machines
ModelCap position	#77	#70
Index score	51.2	52.7
Evidence	Estimatedglobal-corpus-prior over 194 held-out anchors (20%); launch card against 5 resolved peers on 9 rows (80%); exceeds every named peer on 1 of 9 rows; optimism haircut 0 from cross-lab-probe; shrunk 0.2 up toward the measured corpus	Measured5 public benchmark observations across 5 boards
Input / 1M	Unavailable	$0.45
Output / 1M	Unavailable	$1.20
Pricing status	unavailable	fresh
Context	1M	1M
Providers	0	3
Weight access	Open weights	Open weights

Decision facts

MiniMax M1 80k is #77; Inkling Small is #70 on the same current language board.
Index scores are 51.2 for MiniMax M1 80k and 52.7 for Inkling Small. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: MiniMax M1 80k is Estimated; Inkling Small is Measured.
Published context is 1,000,000 tokens for MiniMax M1 80k and 1,048,576 for Inkling Small.
ModelCap currently lists 0 providers for MiniMax M1 80k and 3 for Inkling Small.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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