Meta has once again turned the world of AI on its head. With the introduction of the Llama 4 models, the company is setting new standards in artificial intelligence. But what does this mean for technology fans and those who want to become one? A closer look at the details reveals why Meta is leading the way in AI development.
The new Llama 4 models at a glance
Meta has launched not just one, but four new models. These differ considerably from their predecessors in terms of size and performance. Particularly noteworthy is the Llama 4 Scout, which is the fastest small model with 17 billion parameters and 16 experts. It is designed to run on a single GPU.
But that’s not all. The Llama 4 Maverick also offers 17 billion parameters, but with 128 experts. These experts help to increase the efficiency of the model by activating only some of the parameters to answer queries. This saves computing power and reduces costs.
Llama 4 Behemoth: The giant among the models
With over 2 trillion parameters, the Llama 4 Behemoth is a true giant. This model has the potential to understand and answer complex queries with advanced learning and inference capabilities. Although Meta has not yet revealed much about the fourth model, Llama 4 Reasoning, it is clear that each of these models has been developed for different purposes.
Parameters and experts: The secret weapons of Llama 4
The magic of these models lies in the parameters and experts. Parameters are the systematic controls and prompts that the model uses to understand data. The more parameters, the better the model can perform logical processes. A comparison: While Google Search uses over 200 “ranking signals” to deliver results, you can imagine how comprehensively a model with 17 billion parameters works.
The experts in Llama 4 are a new feature that determines which parameters should be activated for a query. This saves time and resources without compromising accuracy.
Meta’s dominance in the AI race
Meta has built up a considerable lead in the AI world. With around 350,000 Nvidia H100 chips working for Meta’s AI projects, and more in the pipeline, the company has left the competition behind. OpenAI and xAI each have around 200,000 H100 chips. However, it is not only the hardware but also the software that gives Meta the decisive advantage.
Practical applications and future outlook
The introduction of Llama 4 has far-reaching implications. Meta plans to integrate these models into its in-house apps such as Facebook, WhatsApp, Instagram and Messenger. This will make the AI-driven functions of these platforms even more intelligent. Advertising generation and targeting should also benefit from the new models. One interesting aspect is Meta’s open source strategy. External developers can use the models for their projects, which positions Meta as a central pillar for many future AI projects. Companies such as LinkedIn and Pinterest already rely on Meta’s models. 
Meta’s AI future
With the continuous further development of the Llama models, Meta seems to be determining the direction of AI development. The new models not only promise better performance, but also greater accessibility for developers worldwide. It will be exciting to see how Meta’s influence in the AI landscape continues to unfold.
