- Meta integrates the Llama 4 model into WhatsApp, Instagram, Messenger, and more, enabling faster and more relevant responses thanks to its expert blending architecture.
- Two versions have been initially released: Llama 4 Scout and Maverick, with multimodal capabilities for text and images and a focus on efficiency and performance.
- Llama 4 Behemoth and Reasoning are in development, promising even greater capabilities for complex tasks and logical reasoning.
- Access to the model is limited in the European Union for legal reasons, while its adoption is expanding to 40 countries.
Meta has taken an important step in its commitment to artificial intelligence by incorporating its Llama 4 model directly in applications such as WhatsApp, Instagram, Messenger and FacebookThis new generation of models is presented as a significant improvement over the previous version, Llama 3, standing out for its more refined understanding capabilities, faster responses, and the ability to interpret both text and images. If you'd like to learn more about the integration of Meta AI in Spain, you can read this article.
Meta CEO Mark Zuckerberg officially announced the launch on April 5th. Through its social media channels, it explained that users can now use Llama 4 within chats on Meta platforms or through direct access on the meta.ai website. This makes Llama 4 not only a technical advancement, but also a tool accessible from mobile devices or computers without the need for specialized hardware.
Llama 4: four versions with different approaches
The Llama 4 family consists of four models, two of which are already available: Scout and Maverick. Both versions are built on a so-called "mixture of experts" (MoE) architecture, which allows processing tasks to be divided as needed and only the appropriate modules to be executed, making them more efficient than traditional models.
Llama 4 Scout It's the lightest and fastest option. It has a context window of 10 million tokens, allowing it to handle large volumes of information in a single session. It runs efficiently on a single GPU, making it ideal for tasks such as long summaries or analyzing large codebases.
Llama 4 MaverickMaverick, on the other hand, is geared toward general conversation tasks, creative text generation, and multimodal comprehension. It includes 128 experts in its architecture and handles 17.000 billion active parameters, competing in performance with models like GPT-4 and Gemini 2.0. Meta claims that in benchmark tests, Maverick outperformed these competitors in reasoning, coding, image analysis, and multilingual understanding.
The other two versions, still in development, are Llama 4 Behemoth and Llama 4 Reasoning. Behemoth promises to introduce even greater capacity, with 288.000 billion active parameters and nearly two trillion in total, marking a new ceiling in the performance of open source AI models. Reasoning, meanwhile, will specialize in logical reasoning tasks, an area that until now Meta has been treated with caution.
Accessibility and direct use from Meta apps
For those who want to try Llama 4, just access WhatsApp, Instagram or Messenger and open a chat with the Meta AI assistant.No complicated configuration is required: if your apps are up to date, simply go to Settings and confirm that the model version is 4.0. If Llama 3.2 is still displayed, Meta clarifies that the rollout is gradual and may take a few days to be available to everyone.
As for its behavior, users can interact with this AI for various issues., from requesting help with programming tasks to generating texts or summarizing long documents. Additionally, the system can analyze images and provide automated interpretations, although these functions are currently limited to users whose language is set to English and who reside in the United States.
Meta AI is visually presented with a blue circle in chatsWhile it can't be completely removed, users can reduce its presence by deleting the chat or using commands like "/reset-ai," which clears the interaction history and resets the AI to its initial state.
Restrictions in the European Union and technical requirements
One of the biggest obstacles to global adoption of Llama 4 is the legal restrictions imposed by the European Union.Current privacy and software licensing laws restrict both the use and redistribution of the model within the bloc. Furthermore, companies with more than 700 million monthly active users must apply for special licenses to operate with Llama 4, even outside the EU.
On a technical level, the Scout and Maverick models are designed to run in modest environments., as individual servers with Nvidia H100 GPUs. This allows developers and small businesses to experiment with them without having to invest in massive infrastructure. Full versions, including models with millions of parameters, are available for free download from llama.com and the well-known Hugging Face platform.
Meta has introduced significant changes to the way Llama 4 handles sensitive or controversial topics.Unlike previous versions, which avoided answering questions about politics, religion, or sensitive social issues, Llama 4 has been adjusted to display a more balanced approach. This way, it can offer informative answers without rejecting content outright, albeit within certain moderation guidelines.
Security, open source and future development
One of the aspects most valued by the technological community is the open source approach of Llama 4, which allows developers to modify, adapt, and incorporate these models into their own applications. However, this openness also entails risks, as it can facilitate misuse of the model for malicious purposes, such as disinformation campaigns or unsupervised automated content generation.
Meta has implemented security mechanisms such as Llama Guard and Prompt Guard to mitigate these risks. These tools monitor the model's inputs and outputs in sensitive environments. However, the ultimate responsibility rests with the developers and companies integrating the model, who must conduct security testing before applying it in real-world or critical contexts.
With Llama 4, Meta seeks to consolidate its position in the generative AI sector., competing directly with giants like OpenAI, Google, and Anthropic. The combination of efficiency, multimodal capability, and open, modular architecture positions this new generation of models as a serious contender for democratizing access to advanced artificial intelligence tools through everyday channels like WhatsApp or Instagram.
Despite still being in the early stages of deployment, the integration of Llama 4 into the world's most widely used messaging services is already beginning to transform the way millions of people interact with technology. With its Scout and Maverick models already live, and the powerful Reasoning and Behemoth on the way, it's clear that Meta is firmly committed to leading the future of artificial intelligence from the pocket of every user.
