Model decision surface

Compare AI models

Start with R1 0528 and Laguna M.1, 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

R1 0528 vs Laguna M.1

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt

Factual comparison of R1 0528 and Laguna M.1
Field	R1 0528 DeepSeek	Laguna M.1 Poolside
ModelCap position	#53	#50
Index score	57.4	58.4
Evidence	Measured2 public benchmark observations across 2 boards	Estimated3 reported rows against measured corpus ladders (55%); global-corpus-prior over 182 held-out anchors (45%); shrunk 4.3 toward the measured corpus
Input / 1M	$0.50	Unavailable
Output / 1M	$2.15	Unavailable
Pricing status	fresh	unavailable
Context	164K	—
Providers	4	0
Weight access	Open weights	Open weights

Decision facts

R1 0528 is #53; Laguna M.1 is #50 on the same current language board.
Index scores are 57.4 for R1 0528 and 58.4 for Laguna M.1. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Evidence differs: R1 0528 is Measured; Laguna M.1 is Estimated.
ModelCap currently lists 4 providers for R1 0528 and 0 for Laguna M.1.

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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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.