LLaMA

LLaMA is Meta’s family of large language models designed for speed, efficiency, and advanced reasoning, offering multimodal capabilities and scalable deployment through LLaMA API and Stack.

text generation multimodal reasoning question answering content creation summarization translation coding assistance debugging research enterprise automation workflow orchestration knowledge retrieval tutoring data analysis custom fine-tuning

Tool Information

Primary Task	Large Language Models
Category	ai-and-machine-learning
Sub Categories	generative-text chat-and-conversation translation coding-assistants workflow-automation data-analysis
API Available	Yes
Country	India

LLaMA (Large Language Model Meta AI) is Meta’s open large language model family, built to deliver cutting-edge intelligence with exceptional efficiency and scalability. The latest release, LLaMA 4, represents the most advanced generation yet, featuring native multimodality, mixture-of-experts architectures, industry-leading context windows, and enhanced reasoning abilities.

Designed for both research and production environments, LLaMA empowers developers, enterprises, and innovators to create intelligent applications quickly and reliably. With the LLaMA API and LLaMA Stack, teams can seamlessly build, test, and deploy solutions ranging from natural language understanding to multimodal AI systems.

LLaMA models are optimized to balance performance and cost, making them accessible to organizations of all sizes while maintaining top-tier results in benchmarks. Its open ecosystem encourages customization, fine-tuning, and community-driven innovation—making it one of the most influential model families in AI development today.

Whether used for research, enterprise automation, or powering new consumer products, LLaMA provides the flexibility and intelligence to turn ambitious ideas into reality.

Pros
open and customizable ecosystem state-of-the-art reasoning and context handling efficient and scalable performance multimodal capabilities strong support via LLaMA API and Stack active research and developer community

Cons
requires technical expertise for fine-tuning and deployment enterprise features may need additional infrastructure may face accuracy or bias challenges not as tightly integrated into consumer products as closed-source competitors evolving ecosystem with varied support depending on model size

Tool Links

AI Models

Llama 4 Scout Class-leading natively multimodal model that offers superior text and visual intelligence, single H100 GPU efficiency, and a 10M context window for seamless long document analysis.

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Llama 4 Maverick Industry-leading natively multimodal model for image and text understanding with groundbreaking intelligence and fast responses at a low cost.

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Llama 4 Behemoth Preview An early preview (it’s still training!) of the Llama 4 teacher model used to distill Llama 4 Scout and Llama 4 Maverick. Learn more about it.

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Llama Guard 2 Our high-performance model designed to enhance your existing API-based safeguards.

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Llama 2 The first openly available large language model instruction-tuned for text

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Llama Code Code specific version of Llama 2 further trained on code-specific datasets

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Llama Guard 3 for Llama 3.1 Our high-performance input and output multilingual moderation model based on ML Commons safety categories

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Llama 3 The next generation of Llama, demonstrating State-Of-The-Art performance

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Llama 3.2: 11B & 90B Open multimodal models that are flexible and can reason on high resolution images and output text, Llama Guard 3 11B Vision is included

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Llama 3.1: 405B & 8B Multilingual open source large language model
Llama Guard 3 8B and Llama Prompt Guard 2 are included

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Llama 3.2: 1B & 3B Lightweight and most cost-efficient models you can run anywhere on mobile and on edge devices
Llama Guard 3 1B is included
Quantized models available

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Llama 3.3: 70B Multilingual open source large language model
Experience 405B performance and quality at a fraction of the cost

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