Meta，重磅发布！

Core Viewpoint - Meta has launched the Llama 4 series, which includes the most advanced models to date, Llama 4 Scout and Llama 4 Maverick, marking a significant advancement in open-source AI models and a response to emerging competitors like DeepSeek [1][3][10]. Group 1: Model Features - Llama 4 series includes two efficient models: Llama 4 Scout and Llama 4 Maverick, with a preview of the powerful Llama 4 Behemoth [5][8]. - The Llama 4 models utilize a mixture of experts (MoE) architecture, enhancing computational efficiency by activating only a small portion of parameters for each token [7][8]. - Llama 4 Behemoth boasts a total parameter count of 2 trillion, while Llama 4 Scout has 109 billion parameters and Llama 4 Maverick has 400 billion parameters [8]. Group 2: Multi-Modal Capabilities - Llama 4 is designed as a native multi-modal model, employing early fusion technology to integrate text, images, and video data seamlessly [8][9]. - The model supports extensive visual understanding, capable of processing up to 48 images during pre-training and 8 images during post-training, achieving strong results [9]. Group 3: Contextual Understanding - Llama 4 Scout supports a context window of up to 10 million tokens, setting a new record for open-source models and outperforming competitors like GPT-4o [9]. Group 4: Competitive Landscape - The release of Llama 4 comes amid increasing competition in the open-source model space, particularly from DeepSeek and Alibaba's Tongyi Qianwen series [11][12]. - Meta's previous open-source initiatives, such as Llama 2, have spurred innovation within the developer community, leading to a vibrant ecosystem [11]. - The competitive environment is intensifying, with ongoing advancements in model capabilities and frequent releases from various companies [13].