Model familiesReading · ~3 min · 53 words deep

Llama

Llama is Meta's family of open-weight large language models · first released in February 2023 · widely fine-tuned and self-hosted.

Text reviewed October 5, 2026

Llama family on BenchGecko
TL;DR

Llama is Meta's family of open-weight large language models · first released in February 2023 · widely fine-tuned and self-hosted.

Level 1

Meta released Llama 1 in February 2023 for research, then Llama 2 (July 2023), Llama 3 (April 2024), Llama 3.1 (July 2024, including a 405B model) and Llama 4 (April 2025, the first mixture-of-experts Llamas). The weights can be downloaded and run on your own hardware or through many hosting providers.

Level 2

Llama weights are released under the Llama Community License, which allows commercial use with conditions; it is not an OSI-approved open-source license, so "open-weight" is the accurate term. Because the weights are public, the same Llama model is hosted by many providers at different prices, and many community fine-tunes are built on it.

Level 3

Meta published architecture details for its Llama releases (for example grouped-query attention since Llama 2 70B and mixture-of-experts in Llama 4). Self-hosting cost depends on parameter count, quantization and serving stack rather than on a per-token list price.

Why this matters now

Meta keeps shipping new Llama models; the live block on this page lists the newest ones tracked on BenchGecko with their release dates, prices and BenchGecko scores, so this definition never has to name a "latest" model.

The takeaway for you
If you are a
Curious · Normie
  • ·Meta's free-to-download AI models
  • ·Anyone can run them on their own computers
If you are a
Builder
  • ·Self-host or pick the cheapest provider for the same weights
  • ·Check the license terms before commercial use
  • ·See /family/llama for every tracked model
If you are a
Investor
  • ·Open weights shift value from the model to hosting and tooling
  • ·Dated Meta figures are on /economy/company/meta
If you are a
Researcher
  • ·Published architectures and weights make Llama a common research baseline
  • ·Mixture-of-experts since Llama 4
Llama is open-weight: the weights are downloadable under the Llama Community License, which has conditions. It is not an OSI-approved open-source license.