Model decision surface

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Start with Laguna S 2.1 and Qwen3.6 35B A3B, 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

Laguna S 2.1 vs Qwen3.6 35B A3B

Live dataset updated 9/3/2026, 3:28:37 AM UTC

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Factual comparison of Laguna S 2.1 and Qwen3.6 35B A3B
Field	Laguna S 2.1 Poolside	Qwen3.6 35B A3B Qwen
ModelCap position	#68	#66
Index score	40.3	41.3
Evidence	Estimatedplaced against measured peers on publisher-reported benchmarks, discounted for self-report optimism	Measured1 public benchmark observation across 1 board
Input / 1M	$0.09	$0.10
Output / 1M	$0.18	$0.90
Pricing status	fresh	fresh
Context	1M	262K
Providers	1	10
Weight access	Restricted license	Open weights

Decision facts

Laguna S 2.1 is #68; Qwen3.6 35B A3B is #66 on the same current language board.
Index scores are 40.3 for Laguna S 2.1 and 41.3 for Qwen3.6 35B A3B.
Evidence differs: Laguna S 2.1 is Estimated; Qwen3.6 35B A3B is Measured.
Listed output price per 1M tokens is $0.18 for Laguna S 2.1 and $0.90 for Qwen3.6 35B A3B.
Published context is 1,048,576 tokens for Laguna S 2.1 and 262,144 for Qwen3.6 35B A3B.
Weight access differs: Laguna S 2.1 is restricted; Qwen3.6 35B A3B is open.
ModelCap currently lists 1 providers for Laguna S 2.1 and 10 for Qwen3.6 35B A3B.

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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