Llama 4 Review

Meta's open-weights multimodal LLM

At a glance

Category: Text & Copy. Pricing: current comparable pricing is not verified; check the vendor's website. Last modified: 2026-09-29.

Meta's flagship open-weights LLM family, Scout (17B active) and Maverick, the first natively multimodal Llama models with mixture-of-experts architecture and unprecedented context length.

Not editorially tested: One AI Guide has not published a complete hands-on test record for this tool.

Editorial provenance

Published by LUMIVEX for One AI Guide.

Editorial lead: Said El Moussaoui. Our methodology is published at /how-we-rate.

Official vendor website: see the vendor link below.

Verified sources

No currently verified source links are available for this tool.

Claim-by-claim evidence

These are sourced comparison facts, not hands-on test results. Partial facts need more confirmation; stale facts need a fresh check.

Strengths

Weaknesses

Best for

Use cases

What is Llama 4?

Llama 4 is a text & copy tool. Meta's open-weights multimodal LLM.

How much does Llama 4 cost?

Llama 4 is current comparable pricing is not verified; check the vendor's website. Always check the vendor's site for the latest plans before signing up.

Is Llama 4 free?

The catalog currently records Llama 4's pricing model as Free. Check the vendor's site because availability, limits, and plan terms can change.

What can I use Llama 4 for?

Common use cases include Self-hosted deployments where data must not leave your infra, and Fine-tuning a base model for a specific domain.

What is Llama 4 best at?

The One AI Guide catalog currently highlights these strengths: Open weights up to 405B parameters, full commercial use; Strong base for fine-tuning, thousands of community variants; Runs on consumer hardware (8B at 16GB VRAM).

Mentioned in

Alternatives

Comparisons

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