Meta Launches Llama 4 with Expanded Context Window
Meta has launched Llama 4 Maverick and Scout, featuring support for multimodality and context windows of up to 10 million tokens. A larger model with 2 trillion parameters is currently in training.
What happened?
Meta has unveiled the Llama 4 series, consisting of Llama 4 Maverick (400 billion parameters) and Llama 4 Scout (109 billion parameters). Both models support multimodality for processing text, images, and video. Scout provides a context window of up to 10 million tokens, while Maverick supports up to 1 million tokens. Meta also provided a preview of Llama 4 Behemoth, a 2 trillion-parameter model currently undergoing training.
Key facts
Why it matters
The launch increases the capability of local and open-weight AI models to process highly extensive data sets in a single pass. Competition within the open-weight ecosystem has intensified during the spring of 2025, with demand for models capable of handling tens of thousands of pages of text without external search indices driving technical development.
Who is affected?
AI developers, software companies, and research groups building open-source applications gain access to larger context windows and multimodality. For organizations that analyse large volumes of text or video, the need for external data fragmentation is reduced.
Impact on the EU
The models are being made available for download via established platforms, but usage within the EU must comply with the provisions of the AI Act and the General Data Protection Regulation (GDPR), particularly concerning copyright and transparency regarding training data.
What else you should know
Previous reports have indicated internal pressure within Meta regarding development timelines for the most computationally intensive models. Alongside software updates, the company continues to invest heavily in computing infrastructure to meet the requirements for future training rounds.
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