Now,a days people get excited as soon as they hear about AI (Artificial Intelligence), and there is a reason too! Every day new AI models are being launched which are making our life even easier and smarter. But when it comes to Meta AI Llama 4, it makes a different level of place in the hearts of people.
On 5 April 2025, Meta introduced its new Llama 4 models—Llama 4 Scout, Llama 4 Maverick, and Llama 4 Behemoth—and this news became so viral that the whole tech world is talking about it. Today in this article we will talk about Meta AI Llama 4 in detail, explore its features, performance, and future impact, and also see why it has become a trending topic.So let’s get started!.
Table of Contents
Meta AI Llama 4 Launched
Meta AI Llama 4 is a series launched by Meta, and it is an open-source AI model that is natively multimodal. Meaning, this model can handle not only text but also images, videos, and maybe audio in the future. There are three models in this series: Llama 4 Scout, Llama 4 Maverick, and Llama 4 Behemoth. Of these, Scout and Maverick are now available for download, while Behemoth is still in the training phase and will be released soon.These models mark the beginning of a new era of AI innovation.
Meta AI Llama 4 Model
Llama 4 Scout is a smaller model that comes with 17 billion active parameters and has 16 experts, with a total of 109 billion parameters. It can run on a single GPU and has a reference window of 10 million tokens—the largest in the industry so far! Llama 4 Maverick, on the other hand, also comes with 17 billion active parameters but has 128 experts and a total of 400 billion parameters.
This model is best-in-class in image grounding, meaning it can connect user prompts to specific regions of images. The third model, Llama 4 Behemoth, is coming with 288 billion active parameters and 2 trillion total parameters, and Meta claims it is outperforming GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro in STEM benchmarks.
Meta AI Llama 4 In trending?
This topic has been trending on social media since the launch of Meta AI Llama 4, and the reason for this is its groundbreaking features. For one, it is open-source, which is a huge advantage for developers. Secondly, it has a 10 million token context window! This means that Llama 4 Scout can process text equivalent to 15,000 pages in one go. This feature in itself is revolutionary because a context window like this has never been seen before.
This context window is so big that it can prove to be a game-changer in fields like medicine, science, and engineering. Another reason is its performance. Llama 4 Maverick has an ELO score of 1417 on LMArena, which makes it the #1 open model, surpassing DeepSeek v3. This model is also outperforming GPT-4o and Gemini 2.0 Flash across multiple benchmarks. Llama 4 Maverick achieved top positions in Hard Prompts, Coding, Math, and Creative Writing. This performance is a big win for open-source AI, and it has made Meta a strong contender in the AI race.
Meta AI Llama 4 Features
Natively Multimodal: Llama 4 models can process images as well as text. Llama 4 Maverick has an image grounding feature, which connects user prompts to specific parts of the image. This feature is very useful in applications such as autonomous driving or medical imaging.Mixture-of-Experts (MoE) Architecture: This is a design in which multiple smaller models (experts) are combined into a larger model. Each expert specializes in specific tasks, which increases efficiency.
Llama 4 Maverick has 128 experts, which makes it super efficient. This architecture reduces inference cost and reduces latency. Long Context Window: Llama 4 Scout’s 10 million token context window and Maverick’s 1 million token context window make them perfect for long-form content. This feature is very useful when it comes to multi-document question answering or codebase reasoning. Cost-Effective: Meta claims that Llama 4 Maverick’s inference cost is just $0.19 to $0.49 per million tokens, which makes it very affordable.
This price point makes it accessible for small developers and startups. Open-Source: Both Llama 4 Scout and Maverick are open-source and can be used on platforms like Hugging Face and Meta AI’s products (WhatsApp, Messenger, Instagram). This open-source nature gives developers the flexibility to fine-tune models.
Meta AI Llama 4 Comparison
To understand Llama 4, we need to compare it with other leading models. Meta claims that Llama 4 Scout outperforms Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1, while Llama 4 Maverick is ahead of GPT-4o and Gemini 2.0 Flash. Llama 4 Behemoth, which is currently in training, is beating GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro in STEM-focused benchmarks.
According to a report (4 April 2025) by Artificial Analysis, Gemini 2.5 Pro and OpenAI o3-mini are currently at the top in intelligence, but Llama 4 Behemoth is very close to them. In the MATH-500 benchmark, Behemoth is slightly behind DeepSeek R1 and OpenAI o1, but in GPQA Diamond it is ahead of DeepSeek R1. These numbers show that Meta AI Llama 4 is competitive and can get even better in the future.
Meta AI Llama 4 Challenges and Controversies
Every new technology brings some challenges. Meta had delayed the launch of Llama 4 because this model was not initially meeting expectations in reasoning and math tasks. Meta was also concerned that Llama 4 was not as capable of humanlike voice conversations as OpenAI’s models. But the models released now have alleviated these concerns to a great extent. One more thing, can these models run efficiently on a single GPU? Meta’s answer is yes—Llama 4 Scout can run on a single GPU, while Maverick runs on a H100 DGX host. This is a big plus point for accessibility.
Meta AI Llama 4 Future Impact
The launch of Meta AI Llama 4 is a turning point for the AI industry.Being open-source, it is like a new playground for developers.With its long context window and multimodal capabilities, it can be of great use in fields such as education, healthcare, and research.Imagine a doctor who can analyze 15,000 pages of medical records at once—it’s possible with Llama 4 Scout!
Apart from this, the low cost and high performance of Llama 4 makes it an attractive option for startups and small businesses. This step of Meta will further strengthen the open-source AI community, and maybe one day it will be able to challenge the frontier models as well.
Meta AI Llama 4 Final verdict
So friends, this was our detailed discussion about Meta AI Llama 4. Not only is this model technically impressive, its open-source nature and affordability make it a major game-changer. With its 10 million token context window, multimodal capabilities, and competitive performance, it is set to shape the future of AI.If you’re a developer or an AI enthusiast, this model is worth a try!
You can download Llama 4 by visiting Meta’s official website or Hugging Face and start experimenting with it.What do you think about Meta AI Llama 4? Will it be able to compete with OpenAI and Google in the AI race? Do share your thoughts in the comments, and if you liked this article then don’t forget to share it!
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I’m Aashrit Tiwari, a passionate tech blogger with 2 years of experience in the world of technology and blogging. At TechON365, I explore and review the latest smartphones, gadgets, and trending tech news. My expertise in content writing helps me deliver insightful and easy-to-understand tech content.