When was LLaMA 4 Scout released?

LLaMA 4 Scout was released by Meta on Saturday, Apr 5 2025.

Who made LLaMA 4 Scout?

LLaMA 4 Scout was built by Meta. Develops the open-weight Llama series of models. Committed to open-source AI research.

What benchmark scores did LLaMA 4 Scout get?

LLaMA 4 Scout reports 1 tracked benchmark score — BullshitBench v2: 20%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data.

Is LLaMA 4 Scout open source?

Partly. LLaMA 4 Scout is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

What came before and after LLaMA 4 Scout?

Meta's previous tracked release was LLaMA 3.3 on Dec 6 2024, 120 days earlier. It was followed by LLaMA 4 Maverick on Apr 5 2025.

LLaMA 4 ScoutOpen Weight

Released Apr 5 2025

LLaMA 4 Scout is an AI model released by Meta on Saturday, Apr 5 2025, 120 days after LLaMA 3.3. It is an open-weight model — the trained weights are available to download and run. Benchmark results (shown below) cover BullshitBench v2.

Available from


DeepInfra	—	flex	$0.08	$0.24	330K	fp8
DeepInfra	—	—	$0.10	$0.30	330K	fp8
DeepInfra	—	priority	$0.15	$0.45	330K	fp8
Novita	—	—	$0.18	$0.59	128K	bf16
Google	us-east5	—	$0.25	$0.70	1.3M	—

USD per 1M tokens

Benchmarks

BullshitBench v2

20%

#70 of 97

Compare LLaMA 4 Scout with

LLaMA 4 Scout

Suggested comparisons

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Frequently asked questions

: LLaMA 4 Scout was released by Meta on Saturday, Apr 5 2025.
: LLaMA 4 Scout was built by Meta. Develops the open-weight Llama series of models. Committed to open-source AI research.
: LLaMA 4 Scout reports 1 tracked benchmark score — BullshitBench v2: 20%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data.
: Partly. LLaMA 4 Scout is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.
: Meta's previous tracked release was LLaMA 3.3 on Dec 6 2024, 120 days earlier. It was followed by LLaMA 4 Maverick on Apr 5 2025.