Overview
Llama is Meta's family of open-weight language models, released across multiple generations and sizes, and widely used as a foundation for fine-tuned and derivative models built by the broader open-source community. Its open release strategy has made it one of the most influential model families for teams that want to self-host, fine-tune, or fully inspect what they're running rather than depending on a closed API.
LLMWIKI tracks Llama at both the family level, here, and the individual variant level, so you can get oriented on how the family is structured before drilling into a specific release's exact specs and pricing. Where a company ships multiple sizes or variants, the general pattern is a trade-off between capability, latency, and cost — larger or newer releases tend to handle harder, longer, or more ambiguous tasks more reliably, while smaller or older releases are cheaper and faster for simple, high-volume use.
Variants in the Llama Family
Where It Fits in Practice
- Self-hosting a capable open-weight model to avoid per-token API costs
- Fine-tuning Llama on proprietary data without sending it to a third party
- Choosing between Llama generations and sizes for a specific deployment
- Evaluating community fine-tunes and derivatives built on top of Llama
- Comparing Llama against other open-weight families for a specific use case
Considerations
Llama's specific license terms have varied across releases and include some restrictions on commercial use at very large scale, so checking the license for the exact version you're deploying matters before committing.
Frequently Asked
Which Llama variant should I start with?
That depends on your task's complexity, latency needs, and budget — see the variant profiles linked below for specifics on each.
How often does Llama release new versions?
Varies by lab and generation — check the individual variant pages for release history.
Are all Llama variants priced the same?
No — pricing and access vary by variant, with larger, more capable versions generally costing more per token.
Where can I compare Llama directly against a competing family?
See the Comparisons hub for head-to-head pages between specific models.
Is Llama available as open weights?
Availability varies by specific variant and license — check the individual model page for details.
How is this family page different from an individual model profile?
This page orients you across the Llama lineup as a whole; each individual variant has its own dedicated profile with specific benchmarks, pricing, and considerations.