Llama 4 Scout Instruct

Meta llm

Meta's first natively multimodal Llama, a 17B-active-parameter mixture-of-experts model (16 experts, 109B total) with a 10M-token context window.

overall ⌄

34.1

81 of 93 ranked

price · $/M tokens

self-hosted

open weights, no first-party API

to run it yourself ⌄

65 GB

minimum · 262 GB recommended

Benchmarks

What its maker published, and what anyone else measured. Every figure links the document it came from.

benchmarkpublishedmeasured
MMLU-Pro74.3
GPQA57.2
SWE-bench9.1

Lineage

No recorded lineage — root or standalone model.

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Metadata

orgMeta
released2025-04-05
params109B-A17B
licensellama-4
hf idmeta-llama/Llama-4-Scout-17B-16E-Instruct