A
AIverse
writing

Llama 4

4.5/5Open weights (Llama license) / free & hosted
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Meta's open-weight Llama 4 herd (Scout & Maverick) — the first natively multimodal Llama models built on a Mixture-of-Experts design, with Scout offering an industry-leading 10M-token context window.

Our verdict

Llama 4 remains the default open-weight foundation for builders thanks to its huge ecosystem, multimodality and Scout's enormous context window. It is the safe, well-supported choice, even if the very newest open models edge it on specific coding benchmarks.

👍 Pros

  • +Natively multimodal (text + image)
  • +Scout: 10M-token context window
  • +Efficient MoE architecture
  • +Huge ecosystem and tooling
  • +Open weights for self-hosting

👎 Cons

  • Community license has some restrictions
  • Largest models need big hardware
  • Trails newest Chinese open models on some coding tasks
  • Quality varies by variant

🎯 Use cases

Long-document & codebase analysisMultimodal appsSelf-hosted assistantsFine-tuning at scale

ℹ️ Key facts

Company
Meta
Founded
2023
API
Yes

Last updated: Jun 2026

4.5
Rating
18.0k
Views
Freemium
Pricing

Try Llama 4 Now

Meta's open-weight Llama 4 herd (Scout & Maverick) — the first natively multimodal Llama models built on a Mixture-of-Experts design, with Scout offering an industry-leading 10M-token context window.

Frequently Asked Questions

Is Llama 4 free?

Yes — Llama 4 offers a free plan (Open weights (Llama license) / free & hosted) plus a paid tier for advanced features and higher usage limits. You can start for free and upgrade only if you need more.

What is Llama 4 used for?

Llama 4 is an AI writing tool. Meta's open-weight Llama 4 herd (Scout & Maverick) — the first natively multimodal Llama models built on a Mixture-of-Experts design, with Scout offering an industry-leading 10M-token context window. It currently holds a 4.5/5 rating on Aiverse from real users.

Is Llama 4 worth it in 2026?

Yes — Llama 4 holds a strong 4.5/5 rating on Aiverse, making it one of the top-rated writing tools in 2026. It's a solid pick if it matches your use case.