The arrival of Llama 4 on Meta platforms marks a before and after in the interaction between users and artificial intelligence.Starting in early April 2025, millions of people will be able to experience a new way to get answers, generate content, and communicate via WhatsApp, Instagram, and Messenger, thanks to the integration of this AI model into Meta AI's systems.
But how exactly does Llama 4 work within apps like WhatsApp and Instagram? What improvements does it bring compared to previous versions? What are the differences between its variants and how can you make the most of them? In this article, we'll tell you everything you need to know about this powerful open-source AI that seeks to revolutionize the digital landscape.
What is Llama 4 and why is it so important?
Llama 4 (Large Language Model Meta AI) is the fourth generation of language models created by Meta for tasks of understanding and generating content based on text, images, audio or even videoThis new architecture is based on the concept of Mixture of Experts (MoE), a revolutionary approach that enables activating only the parts of the model needed for a specific task, improving both efficiency and accuracy of the response.
Unlike previous versions or competitors such as GPT-4o or Gemini 2.0Llama 4 natively incorporates multimodal capabilities, meaning it can work simultaneously with different types of content, such as text and images. This allows it to offer a much richer and more intuitive conversational experience for the user, even within the mobile app ecosystem.
Llama 4 launch and availability on WhatsApp and Instagram
Meta officially launched Llama 4 on April 5, 2025Since then, the Scout and Maverick models have been available for both social media and developer use, while the Behemoth model, still in the training phase, is currently reserved for large-scale research and development environments.
You can now use Llama 4 on WhatsApp, Messenger and Instagram Direct.Through the Meta AI assistant (usually represented as a blue circle), users can interact with this artificial intelligence as if they were talking to a real person. Although its initial availability is restricted to certain countries, its global expansion is expected to continue in the coming months.
Llama Variants 4: Scout, Maverick, and Behemoth
Llama 4 Scout
Scout is the lighter and more efficient version of Llama 4Designed to run on a single Nvidia H100 GPU, it features 17.000 billion parameters spread across 16 experts, making it a very powerful option for tasks requiring low resource consumption.
Provides a context window of up to 10 million tokens, a figure beyond the reach of most current models. This allows it to maintain very long conversations without losing the thread or context, and is ideal for tasks such as data classification, code review, and text content generation.
Llama 4 Maverick
Maverick is a more robust version that also integrates full multimodal capabilitiesIt can process text and images simultaneously, making it perfect for visual analysis, advanced coding, or content generation from graphic stimuli.
It also has 17.000 billion active parameters., but distributed among 128 experts. Its design allows it to outperform models like GPT-4o in tests related to coding and reasoning, placing it among the most competitive on the market.
Llama 4 Behemoth
Behemoth is the most ambitious and powerful model of the Llama 4 familyIt's still in its training phase and not publicly available, but Meta has already announced that it has around 2 trillion parameters, of which 288.000 billion are active.
It is designed for high-performance tasks in supercomputers and specialized data centers., and also acts as a master role model who coaches others. In internal testing, it has led benchmarks in fields such as science, technology, and mathematics (STEM).
How Llama 4 works within WhatsApp, Instagram and Messenger
The incorporation of Llama 4 into Meta's mobile applications translates into a highly sophisticated conversational assistant.This appears in the interface as the Meta AI Assistant (blue circle) and can help you:
- Answer complex questions related to science, history, programming or other specialized topics.
- Analyze submitted images and generate personalized responses or reactions.
- Generate visual content using commands like /imagination.
- Suggest contextual actions, such as starting a call or summarizing a long conversation.
This functionality remains active as long as you update your Meta apps and enable AI access in the settings.If you see that you're still using Llama 3.2, the new model is likely being rolled out gradually. Just wait a few days and check your settings again.
How to use Llama 4: Access methods on WhatsApp and Instagram
There are several ways to interact with Llama 4 depending on your user profile:
- From Meta AI in applicationsSimply open the assistant chat on WhatsApp, Instagram, or Messenger and start typing your request. You can send text, images, or even request structured responses.
- From the Meta AI website: Available only in select countries, such as the United States. Allows for a more focused experience with expanded capabilities.
- As a developerYou can download the Scout and Maverick models from the official repository at llama.meta.com or Hugging Face. From there, you'll have access to documentation, examples, and cloud or local deployment options.
- Through third-party APIsPlatforms like Hugging Face offer rapid integration without the need to set up your own servers.
Advantages over other models
The main advantage of Llama 4 over its competitors is its customization capacity and efficiency.. While models like GPT-4 require a large amount of resources for simple tasks, with Llama 4 only the experts needed for the requested task are activated.
Other notable advantages include:
- Native multimodality: Works with multiple content formats in an integrated way.
- Modular specialization: Each expert is trained in a specific domain, which results in more accurate and useful answers.
- Expanded context window: Supports very long conversations without losing memory or coherence.
- Free access (with limitations): It is available as open source for developers, startups, and academic environments, although companies with more than 700 million users cannot use it freely.
Things to consider: Llama 4 security and biases on WhatsApp and Instagram
Like any emerging technology, Llama 4 also presents some risks.. By being more "open" in your answers, you could generate unverified information or promote unintentional biases. That's why Meta has included tools such as Llama Guard y Prompt Guard, which help filter sensitive or dangerous content.
In terms of ethics, Meta claims to have reduced unjustified blockages and polarizations regarding sensitive issues.Currently, only 2% of questions are automatically blocked, compared to 7% in previous versions.
Tips to improve your interactions with Llama 4
You don't need to be an expert to get the most out of Llama 4Here are some recommendations that can improve your experience:
- Ask questions as specific as possible for more accurate answers.
- Use images in addition to text if your query is visual.
- Speak naturally, as if you were having a conversation with a person.
- Ask for organized formats such as lists, tables, or numbered steps if you want well-structured answers.
- Have long conversations without having to repeat information from the beginning.
Llama 4 has been progressively integrated into multiple Meta products with the goal of integrating seamlessly, without the user having to search for it manually. AI appears at the right moment, acting as a proactive assistant that offers relevant help without interrupting the digital experience.
Llama 4 represents a major leap forward in the development and implementation of artificial intelligence for everyday use.With its focus on accessibility, efficiency, customization, and open source, Meta offers a real and competitive alternative to traditional models.
Its implementation on WhatsApp, Instagram, and Messenger means this technology is now a part of our daily conversations, simplifying tasks and offering us new possibilities for digital interaction. Share the information so more people know about the news.