Not affiliated with Meta. Independent community review.
Llama Review (2026)
Open-source foundation model for self-hosting
Last updated: 2026-02-08
Key Conclusions
- 1
Fully open-source with Meta's permissive community license.
- 2
Llama 4 Scout/Maverick introduces MoE architecture with massive 10M context.
- 3
Zero API cost for self-hosted deployments; cloud hosting available via partners.
Parameters
10M tokens
64K tokens
Yes
200+
Pricing & API
$0.00
per 1M tokens
$0.00
per 1M tokens
Frequently Asked Questions
What is Llama 4?
Llama 4 is Meta's latest open-source model with mixture-of-experts architecture and up to 10M token context.
Is Llama free?
Yes. Llama models are free to download and use under Meta's community license.
Can I self-host Llama?
Yes. Llama weights are freely available for self-hosting on your own infrastructure.
What hardware do I need to run Llama 4?
Llama 4 Scout (17B active params) can run on a single GPU with 32GB+ VRAM. Maverick (400B+ total) requires multi-GPU setups or cloud instances with 4-8 A100/H100 GPUs.
What is the Llama community license?
Meta's community license allows free use for research and commercial applications with over 700M monthly active users requiring a separate license agreement.
About Llama
Llama is Meta's open-source model family. Llama 4 introduces mixture-of-experts architecture and a 10M token context window.
How We Evaluate
Our reviews are based on publicly available documentation, API specifications, and benchmark results. We evaluate models across five dimensions:
- Context capacity — maximum input tokens and practical retrieval accuracy at scale.
- Output quality — coherence, factual accuracy, and instruction following based on published benchmarks.
- Pricing transparency — clarity of per-token costs, free-tier limits, and hidden fees.
- Multimodal breadth — native support for text, image, audio, and video inputs/outputs.
- Ecosystem maturity — SDK quality, documentation depth, and third-party integrations.
Scores and conclusions are updated when providers announce pricing changes or new model versions. This page was last verified on 2026-02-08.
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