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
Trial Available	Yes (7 days)
API Available	Yes
Pricing	Free plan available. Pro plan at $29/month (billed annually) or $39/month (billed monthly). Enterprise plan with custom pricing.
Founder(s)	Max Haining, Ben Haining
Country	India
Launch Year	2022
Industry	information technology & services
Technologies	Kenshoo, Cedexis Radar, Facebook Login (Connect), Adobe Media Optimizer, YouTube, Facebook Custom Audiences, Adform, Adition Technologies - Advertisers, Sizmek (MediaMind), IgnitionOne, Qualtrics, Vimeo, Atlas by Facebook, DoubleClick, AppNexus, Mobile Friendly, Facebook Widget
Website Status	🟢 Active

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.

Llama is a technology solutions provider that focuses on enhancing workplace technology for organizations. They offer a range of services, including technology upgrades, hosting, training, and automation support. With expertise in platforms like IBM TRIRIGA and Tableau, Llama aims to improve operational efficiency and help clients achieve their missions.

The company serves a diverse clientele, including educational institutions such as Wichita Public Schools and Northwestern University, as well as large organizations like ADP, Northrop Grumman, and US Courts. Llama prioritizes understanding each client's unique technology ecosystem, positioning themselves as a trusted partner dedicated to the success of their projects.

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

Frequently Asked Questions

1. What is LLaMA?

LLaMA (Large Language Model Meta AI) is Meta’s family of open large language models. It is designed for speed, efficiency, and advanced reasoning, offering cutting-edge intelligence with exceptional efficiency and scalability.

2. What are the key features of the latest LLaMA models?

The latest generation, LLaMA 4, features native multimodality, mixture-of-experts architectures, and industry-leading context windows. It also provides enhanced reasoning abilities, making it highly advanced for various applications.

3. Who is LLaMA designed for?

LLaMA is designed for both research and production environments, empowering developers, enterprises, and innovators. It helps them create intelligent applications quickly and reliably.

4. How can developers and enterprises utilize LLaMA?

Teams can seamlessly build, test, and deploy solutions using the LLaMA API and LLaMA Stack. These tools support applications ranging from natural language understanding to multimodal AI systems.

5. What are the advantages of using LLaMA?

LLaMA offers an open and customizable ecosystem with state-of-the-art reasoning and context handling. It provides efficient and scalable performance, multimodal capabilities, and strong support via LLaMA API and Stack.

6. What are some potential challenges when using LLaMA?

Using LLaMA may require technical expertise for fine-tuning and deployment, and enterprise features might need additional infrastructure. Users may also face accuracy or bias challenges, as it's an evolving ecosystem.