Model decision surface

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Start with Llama 4 Scout 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

Llama 4 Scout vs Inkling Small

Live dataset updated 9/3/2026, 3:06:08 AM UTC

Open 1200×630 evidence receipt

Factual comparison of Llama 4 Scout and Inkling Small
Field	Llama 4 Scout Meta	Inkling Small Thinking Machines
ModelCap position	#172	#42
Index score	21.3	53.9
Evidence	Measured4 public benchmark observations across 4 boards	Measured5 public benchmark observations across 5 boards
Input / 1M	$0.10	$0.45
Output / 1M	$0.30	$1.20
Pricing status	fresh	fresh
Context	1.3M	1M
Providers	3	3
Weight access	Gated access	Open weights

Decision facts

Llama 4 Scout is #172; Inkling Small is #42 on the same current language board.
Index scores are 21.3 for Llama 4 Scout and 53.9 for Inkling Small.
Both positions use Measured evidence.
Listed output price per 1M tokens is $0.30 for Llama 4 Scout and $1.20 for Inkling Small.
Published context is 1,310,720 tokens for Llama 4 Scout and 1,048,576 for Inkling Small.
Weight access differs: Llama 4 Scout is gated; Inkling Small is open.

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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