Meta hosted its first AI event for developers at LlamaCon. And the focus here was clearly on the latest innovations in the Llama ecosystem.

This includes the Llama 4 AI model, a customized API application for it and the Meta AI app. Through the event, Meta is pursuing the goal of standing out from the countless AI competitors with accessibility and transparency and consolidating itself as a pioneer in the AI world in the future.

But what kind of innovations are we talking about here? And what makes LlamaCon so special? The following blog entry provides insights into the Llama ecosystem and answers these questions.

What is LlamaCon?

The AI tool Llama is one of the leading open source models and is used by developers worldwide for programming. With LlamaCon, Meta is now aiming to bring developers together as a community on a global level to further promote innovation. At the event, Meta shares transparent insights into its AI and announces investments in start-ups, companies and universities that use Llama for development. In addition, they discussed the security of AI and presented further tools for this.

Meta had one main reason for the event: to outperform competitors.

Their aim is to promote an open AI ecosystem that is opposed to “closed” AI providers such as OpenAI due to their lack of transparency. In this way, they aim to appeal to developers and be user-friendly.

What can Llama 4 do?

The latest model, Llama 4, was the focus of the conference. It consists of three tools:

Llama 4 Scout, Llama 4 Maverick, and Llama 4 Behemoth. They are based on an expert architecture, whereby tasks are forwarded to different sub models and processed. However, they differ in certain respects:

• Llama 4 Scout: It uses 16 automated experts and is suitable for processing long documents and content.
• Llama 4 Maverick: It uses 128 automated experts and can perform a variety of tasks, including text and image understanding.
• Llama 4 Behemoth: This model is still under development. It uses 16 experts and was designed as a “teacher model” to train smaller models such as Scout and Maverick.

The use of Llama 4 is currently still restricted, as it is only available in English and in the USA. In addition, companies based in the EU are not allowed to use the model. If companies have more than 700 million active users per month, they must apply for special permission from Meta (Wiggers & Szkutak, 2025).

Compared to its competitors, Llama 4 works more efficiently as it uses fewer parameters. However, it performs poorly in AI tests, especially in the generation of long text content. Although it offers many different functions, some of these are not executed reliably and it cannot outperform the competition (Bastian, 2025).

Llama API – what developers need to know!

With Llama API, Meta has also introduced a tool that can be used by developers of Llama models. It enables the simple creation of API keys and offers an interactive environment for exploring various Llama models. Development templates in Python and TypeScript are provided for this purpose, which can be integrated into existing applications.

This enables developers to create further applications based on this model. Meta ensures that they will not use the newly developed prompts and models and that data protection is guaranteed.

The Meta AI app at a glance

In addition to a new AI model, Meta has now also introduced the Meta AI app, which is based on the Llama 4 model. The chatbot is integrated into all Meta apps, such as Whatsapp and Instagram, where it performs various functions.

Whatsapp: The chatbot can be used here to answer questions on a wide range of topics.

Instagram: Here, the AI gives hashtag suggestions, assists with editing images and can even make suggestions for content.

By integrating the AI into existing apps, Meta stands out from comparable AI apps that require you to open a new app every time you want to use them.

However, the launch of the app was delayed in Europe due to data protection concerns. By using the tool, Meta is able to view personal information and use it to train the AI. They have now adopted stricter data protection regulations for the European market, but this does not restrict their access to user input. You should be aware of this and therefore use the tool with caution (Eberl, 2025).

What does the future hold for Llama?

With LlamaCon and the presentation of new AI developments, Meta sets high standards in the AI industry. The transparency at the conference, as well as the accessibility and flexibility of AI through the open source model, makes Llama stand out, especially for developers. Meta aims to enter into long-term partnerships with companies and developers. Through fair pricing and ease of use, they want to enable more people to take advantage of AI, regardless of technical expertise. They see open source models as the future and aim for further growth and development of the Llama ecosystem.

Through LlamaCon, they are creating a community of Llama users and bringing together ambitious developers to promote and benefit from the further development of AI.

Conclusion: What makes LlamaCon so special?

To summarize, LlamaCon has brought together developers from all over the world to present new innovations, thus promoting the formation of a Llama community.

Llama 4 was introduced as a new AI model, which was primarily designed for use in companies. The Llama API also enables developers to further develop the existing AI tool.

In addition, the Meta AI app is a new innovation that integrates an AI chatbot into various apps. By presenting the new developments at LlamaCon, Meta generated attention and successfully marketed itself and its products. Looking to the future, it can be said that Meta is focusing on open source and accessibility in order to set itself apart from its competitors. Even if the performance in AI tests could be improved, the Llama ecosystem covers a wide range of applications. So it remains to be seen how they can hold their own in the competitive AI market in the future.