By News Editor 
Meta Launches Llama 4, an Advanced Multimodal AI Model Set to Transform Applications Due to Fewer GPU limitations
Meta Platforms Inc. has officially unveiled its latest artificial intelligence models, Llama 4, which promise to revolutionize the way AI interacts with various data types. Announced on April 5, 2025, Llama 4 introduces a set of three models—Scout, Maverick, and Behemoth—with capabilities that include integrating text, images, and audio into a cohesive understanding of complex data. The new models utilize a “Mixture of Experts” architecture that enhances computational efficiency, allowing them to process up to 10 million tokens, offering significant improvements in context and performance compared to previous iterations. Notably, this is the same approach used by DeepSeek in their model.
The Scout model, in particular, can operate on a single high-performance GPU, indicating its accessibility for developers. Llama 4 represents a significant leap forward from earlier models, featuring advanced training on over 30 trillion tokens, which is double the dataset of its predecessor, Llama 3. This expansion includes data across diverse languages and domains, addressing prior concerns over bias and misinformation.
For instance, Meta has reported a reduction in bias regarding political discourse, with refusal rates on controversial subjects dropping from 7% to below 2%. “We are excited to introduce the Llama 4 suite to enhance AI-driven applications across platforms like WhatsApp, Messenger, and Instagram Direct,” said a spokesperson from Meta. The models have already been integrated into Meta’s AI assistant across multiple platforms, marking a strategic shift toward employing AI in everyday social media interactions. While these advancements signal a robust direction for Meta’s AI capabilities, industry observers have expressed concerns regarding the overall accessibility of such advanced models.
Even the smallest version, Scout, may require substantial hardware resources, including significant RAM specifications that preclude typical consumer-grade systems. The release aligns with broader trends in the tech industry as companies race to innovate in the AI space, leveraging multimodal functionalities to create more interactive and responsive applications. As the competition heats up, particularly against models from OpenAI and Google, Meta’s Llama 4 could set new standards in the rapidly evolving landscape of artificial intelligence.