Meta Llama 4
The latest generation of openly available mixture-of-experts LLMs from Meta, optimized for multimodal understanding and agentic systems.
What is Llama 4?
Meta Llama 4 is the newest iteration in Meta’s openly available family of large language models. It represents a massive architectural leap by utilizing a Mixture-of-Experts (MoE) design. It comes in two primary sizes—Llama 4 Scout and Llama 4 Maverick—and is optimized for multimodal understanding, tool-calling, and powering complex agentic systems.
Key Features
- Mixture-of-Experts Architecture: Utilizes multiple expert sub-networks, ensuring massive total parameter counts (up to 400B for Maverick) while keeping active parameters highly efficient for inference.
- Multimodal & Multilingual: Processes both text and up to 5 images as input, while offering robust multilingual support across 12 languages, including Arabic, Spanish, Hindi, and more.
- Massive Context Length: Llama 4 Scout supports a staggering 10 million token context length, allowing it to process vast codebases and entire document libraries in a single prompt.
💰 Pricing
Meta Llama 4 models are free to download under Meta’s community license (commercial use allowed with conditions). Running costs depend on your own infrastructure. Hosted access is available through providers like Together AI, Hugging Face, and Groq with pay-per-token pricing. Meta AI (consumer product) is free.
🔄 Best Alternatives to Meta Llama 4
| Tool | Best For |
|---|---|
| Google Gemma | Google’s open-weights models with strong safety tooling |
| Mistral | Efficient European open models, strong multilingual support |
| Claude | Closed-source with elite reasoning and long context |
| Google Gemini | Multimodal AI with Google ecosystem integration |
| Hugging Face | Hub for discovering and running all open models |