Llama
Product status: Status not recorded
No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
No status check date recorded
Meta's downloadable model family, with generation-specific text or vision capabilities and custom community licenses rather than one universal service plan. No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
Product preview
Decision notes
Official-document research
Based on the cited documentation. We did not use the product, purchase a plan, or run quality, speed or reliability tests in this review.
Consider it for
- Teams able to operate model infrastructure
- Developers checking release-specific rights
Choose another approach if
- Assuming Apache/MIT for every model
- A free hosted API or guaranteed phone deployment
Pricing and conditions
Documented terms
The read Llama 3.1 community license grants a limited royalty-free right, subject to its terms and a separate-license threshold; it is not a quote for the whole family. Hardware, storage, operations and hosted inference are separate. No current provider's per-token, seat, tax, currency or regional total was confirmed, and no USD0 service price is implied. Review the exact release and provider contract.
Pricing source read:
Pricing or terms sourceCode, model and service licensing
This family has custom, release-specific licenses, not blanket OSI licensing. For 3.1, redistribution requires the agreement, notices and branding; a publicly offered model improved using materials/outputs must start its name with Llama. On the release date, products/services of the licensee or affiliates above 700 million prior-month active users require Meta's separate permission; the integrated end-user exception is narrower. AUPs restrict uses and require third-party rights. The 3.2/4 multimodal EU grant restriction has an integrated-product end-user exception; do not generalize it to all Llama. No license clears input/output copyright or controls a third-party host's training, logs or retention.
Basis and limits of the recorded score
The existing 4.5 score is retained; its original scoring evidence is unavailable. This documentation review did not measure performance or compare products and did not re-score it.
Overview
Llama is a family of versioned models, not one checkpoint with every feature. The repository separates text and vision releases, model sizes and context specifications. Choose an exact base or instruction-tuned checkpoint and its supported language/task before evaluating hardware and quality. A small text model and a large multimodal model are different deployment decisions.
This entry covers downloadable materials. Llama 3.1 is a concrete licensing example; later releases must be checked separately, including EU restrictions on certain multimodal models. Downloads can require license acceptance and approval. Third-party inference services, interfaces and extensions add their own billing and data handling; a local model file alone establishes neither a complete private system nor free cloud inference.
Sources
The factual claims in this review were read from the pages below. Each date is when an editor last opened the source, not when the product changed.
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
- Vendor documentation Checked 2026-10-15
Pros / Cons
Pros
- Versioned model cards and policies
- Weights can be deployed under your control
- Adaptation permitted within release conditions
Cons
- Custom licenses and use restrictions
- Hardware and operations are separate costs
- Family specifications do not apply to every release
Who it's for
Evaluating a pinned text-model deployment
Comparing self-hosted release options
Bottom line
Select a precise Llama release and license before choosing hosting; do not buy a family-wide performance or privacy claim.
Key Features
Tags
Frequently asked questions
Is Llama currently available?
No lifecycle review is recorded for this listing. Its inclusion in the directory does not confirm current availability; check the vendor before relying on it.
What is Llama?
Llama is a Conversational AI tool developed by Meta. Meta's downloadable model family, with generation-specific text or vision capabilities and custom community licenses rather than one universal service plan.
What costs and terms should I check for Llama?
The read Llama 3.1 community license grants a limited royalty-free right, subject to its terms and a separate-license threshold; it is not a quote for the whole family. Hardware, storage, operations and hosted inference are separate. No current provider's per-token, seat, tax, currency or regional total was confirmed, and no USD0 service price is implied. Review the exact release and provider contract.
Is Llama open source?
This family has custom, release-specific licenses, not blanket OSI licensing. For 3.1, redistribution requires the agreement, notices and branding; a publicly offered model improved using materials/outputs must start its name with Llama. On the release date, products/services of the licensee or affiliates above 700 million prior-month active users require Meta's separate permission; the integrated end-user exception is narrower. AUPs restrict uses and require third-party rights. The 3.2/4 multimodal EU grant restriction has an integrated-product end-user exception; do not generalize it to all Llama. No license clears input/output copyright or controls a third-party host's training, logs or retention.
What are the best alternatives to Llama?
Notable Conversational AI alternatives include ChatGPT, Claude, Gemini. Browse all 67 tools in our Conversational AI category for a full overview.
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Basic Info
- Pricing
- Free
The read Llama 3.1 community license grants a limited royalty-free right, subject to its terms and a separate-license threshold; it is not a quote for the whole family. Hardware, storage, operations and hosted inference are separate. No current provider's per-token, seat, tax, currency or regional total was confirmed, and no USD0 service price is implied. Review the exact release and provider contract.
- Editorial score
- ★ 4.5 / 5 How we score
- Platforms
- WeightsSelf-hosted
- Last verified
- 2026-09-20
