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.

What is Llama 4?

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.

Llama 4 sits in the writing category and is listed in the AIverse AI tools directory, where it holds an editorial rating of 4.5 out of 5 based on its capabilities, usability, value for money and reliability. It is developed by Meta, founded in 2023.

Llama 4 features and use cases

People typically use Llama 4 for Long-document & codebase analysis, Multimodal apps, Self-hosted assistants and Fine-tuning at scale.

It is often associated with LLM, Open Weights, Multimodal, MoE and Long Context. Developers can integrate Llama 4 into their own products through its API.

Llama 4 pricing

Llama 4 offers a free plan, with paid tiers (Open weights (Llama license) / free & hosted) that unlock more advanced features and higher usage limits.

As with any AI tool, the right plan depends on how heavily you use it. We recommend trying Llama 4 before committing to a paid plan.

Is Llama 4 worth it? Our bottom line

Overall, Llama 4 is a strong choice in the writing category for 2026. Its standout strengths include Natively multimodal (text + image) and Scout: 10M-token context window. Bear in mind Community license has some restrictions and Largest models need big hardware. If it matches your workflow, Llama 4 is well worth a try — especially since you can start on a free plan.

✅ 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

💡 Expert tips

  • ★Use Llama 4 Scout’s 10M-token context for whole-codebase or book-length analysis that closed models cannot fit.
  • ★Fine-tune the open weights on your domain data — it is the cheapest path to a specialised in-house model.

ℹ️ Key facts

Company
Meta
Founded
2023
API
Yes

Last updated: Jun 2026

4.5
Rating
18.0k
Views
Freemium
Pricing

🔀 Compare Llama 4 with

Llama 4vsChatGPTLlama 4vsClaude 3.5 SonnetLlama 4vsGeminiLlama 4vsGrokLlama 4vsPerplexity AI

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.

Try Free ⚡ Compare Llama 4🔁 Llama 4 Alternatives

❓ 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.