AI provider / Meta
Meta
A provider often linked to open-weight influence, broad developer adoption and model lines that shape the public conversation around accessible AI.
Meta shaped the open-model era. LLaMA leaked within a week of its research release in 2023, and Llama 2 made open weights official and commercial — handing startups, researchers and enterprises a foundation they could build on freely.
From the 405B Llama 3.1, the first open frontier-class model, to multimodal and edge variants and the mixture-of-experts Llama 4, the line keeps pushing what open ecosystems can do. Its influence is measured less in a single product than in everything built on top of it.
Model catalog
Every release in this provider’s model line.
Each row is a distinct model release — its date, its type and the traits it is known for. Open a source to dig into any of them.
| Model | Released | Type | Key traits | Source |
|---|---|---|---|---|
| Llama 4 | Apr 2025 | MoE |
| Meta AI |
| Llama 3.2 | Sep 2024 | Multimodal |
| Meta AI |
| Llama 3.1 405B | Jul 2024 | Frontier open |
| Meta AI |
| Llama 3 | Apr 2024 | Version update |
| Meta AI |
| Code Llama | Aug 2023 | Coding |
| Meta AI |
| Llama 2 | Jul 2023 | Open release |
| Meta Newsroom |
| LLaMA | Feb 2023 | Debut |
| Meta AI |
Timeline
A practical timeline of model releases and company milestones.
This page tracks the moments that matter most: major model releases, version jumps and company moves that changed how this provider shows up in the AI market.
Llama 4 moves the herd to mixture-of-experts.
Scout and Maverick debut natively multimodal MoE designs with a 10M-token context claim, amid a noisier reception than 3.1.
Llama 3.2 adds vision and pocket-sized variants.
11B and 90B vision models plus 1B and 3B for phones stretch the family from datacenter to device; 3.3 follows in December.
Llama 3.1 405B becomes the first open frontier-class model.
For one summer, the gap between open and closed frontier models effectively closes, validating Meta’s entire strategy.
Llama 3 brings 8B and 70B trained on 15T tokens.
A massive data-scaling bet pays off, with the 70B briefly the strongest open model and Meta AI launching across its apps.
Code Llama specializes the line for programming.
Built on Llama 2 with Python and instruct variants, it becomes the base of countless open coding assistants.
Llama 2 makes open weights official and commercial.
Free for most commercial use and distributed with Microsoft, it turns the leak-born ecosystem into Meta’s deliberate strategy.
LLaMA releases to researchers — and leaks within a week.
The weights escaping to the open internet accidentally founds the modern open-model ecosystem.