April 5, 2025

Meta Llama 4 Scout and Maverick released

Meta released LlamaMeta's open family of large language models — released weights that sparked an open-source AI wave. 4 Scout and Maverick on April 5, 2025 — open-weight natively multimodalAI models that process multiple input types — text, images, audio, and video in one system. MoE models with up to 10M-token context on Scout.

What it was for

LLaMALlamaMeta's open family of large language models — released weights that sparked an open-source AI wave. 4 brought mixture-of-experts and native multimodality to Meta's open model line. Scout fit on a single H100; Maverick beat GPTGenerative Pre-trained Transformer — OpenAI's family of large language models from GPT-1 through GPT-5.-4o and GeminiGoogle's family of multimodal AI models — successors to PaLM and competitors to GPT and Claude. 2.0 FlashAdobe Flash — a browser plugin for animations and video — deprecated as the web moved to HTML5. on several benchmarks. Meta also previewed the training-only Behemoth teacher — signaling open weights would keep pace with closed frontier models.

Companies

  • Meta

Why it's here

LlamaMeta's open family of large language models — released weights that sparked an open-source AI wave. 4 made open MoE multimodalAI models that process multiple input types — text, images, audio, and video in one system. models competitive with closed APIApplication programming interface — a defined way for programs to talk to each other or to a service. flagships.

Why it mattered

Ten-million-token context and MoE efficiency reset expectations for self-hosted AI.

What it solved

Open-source teams needed frontier multimodalAI models that process multiple input types — text, images, audio, and video in one system. models without cloud APIApplication programming interface — a defined way for programs to talk to each other or to a service. dependence.

Media

  • LLaMA
    ImageLLaMA

    Meta Platforms, Public domain, via Wikimedia Commons

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