Meta Launches Llama 4 Scout and Maverick – Open Models with Massive Context
Meta has released Llama 4 Scout and Llama 4 Maverick, the company's first open AI models in the new Llama 4 series, featuring context windows of up to 10 million tokens.
What happened?
On 5 April 2025, Meta launched its first fourth-generation open AI models: Llama 4 Scout and Llama 4 Maverick. Scout is built with 109 billion total parameters and supports a context window of 10 million tokens. Maverick employs a Mixture-of-Experts architecture with 400 billion total parameters, of which 17 billion are active per run, alongside a 1-million-token context window.
Key facts
Why it matters
The release signifies that advanced model performance previously restricted to closed API services is now available as open weights. By combining Mixture-of-Experts technology with extremely large context windows, Meta is reducing computational costs for developers while significantly increasing the capacity to process entire codebases and extensive documents.
Who is affected?
The launch primarily concerns AI developers, researchers, and enterprises looking to run advanced language models on their own infrastructure without reliance on closed APIs. Open-source projects and developers building applications with long-context requirements are also directly affected.
Impact on the EU
Llama 4 Scout and Maverick are available globally, including within the EU, via Hugging Face and Meta AI. The models are distributed under the Llama 4 Community License; however, commercial entities with over 700 million monthly active users must apply for a specific license from Meta.
What else you should know
Standardised benchmark tests indicate that the Llama 4 models challenge closed models such as GPT-4o and Gemini 2.0 Flash across multiple domains. Independent evaluations from the developer community are expected to confirm how well the Mixture-of-Experts architecture performs under actual production conditions.
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