Meta Unveils Llama 4: Scout, Maverick & a Peek at Behemoth
Coming- Gen AI Models Go Multimodal
Meta Platforms has officially blazoned the launch of its coming- generation large language models – Llama 4 Scout and Llama 4 counterculturist – pushing the boundaries of artificial intelligence with important multimodal capabilities. These models are able of understanding and generating content across multiple formats including textbook, audio, videotape, and images
Open- Source and erected for the unborn
In line with its open invention gospel, Meta verified that both Scout and Maverick will be released as open- source software. This move enables inventors, experimenters, and startups to valve into the eventuality of Llama 4 without empowering constraints.
Meta describes the models as its “ most advanced yet ” and countries they’re “ stylish in class for multimodality, ” motioning a strong competitive move in the AI space.
mammoth on the Horizon Smarter Than Ever
Meta also offered a exercise of its forthcoming flagship model, Llama 4 Behemoth. Touted as “ one of the smartest LLMs in the world, ” Behemoth is designed to serve as a training companion and standard for unborn AI model development
Detainments and Development Challenges
Although Llama 4 is now live, reports suggest that its release was delayed due to enterprises about performance limitations, particularly in mathematics and logic tasks. also, the models reportedly fell suddenly in voice discussion quality when compared to OpenAI’s top models.
65 Billion AI Investment in 2025
Despite the interruptions, Meta is going each- by on AI. The tech mammoth has planned a massive$ 65 billion investment this time to expand its AI structure, driven by both invention pretensions and investor prospects.
What’s Next?
With Scout and Maverick now in the hands of inventors and experimenters, and Behemoth on the way, Meta is setting the stage for a new period of open and important AI systems. The AI race continues and Meta is making it clear that it’s not just sharing, but leading
