# Meta — AI model releases

Meta has 15 AI model releases tracked on AI Release Tracker, from Feb 24 2023 through Sep 2 2026. Develops the open-weight Llama series of models. Committed to open-source AI research.

Official site: https://ai.meta.com

## Releases, newest first

| Model | Release date | Licensing | Context window | Page |
| --- | --- | --- | --- | --- |
| Muse Spark 1.3 | Sep 2 2026 | Proprietary | 1M | https://aireleasetracker.com/model/meta/muse-spark-1.3 |
| Muse Glimmer | Aug 10 2026 | Open Weight | — | https://aireleasetracker.com/model/meta/muse-glimmer |
| Muse Spark 1.2 | Aug 5 2026 | Proprietary | 1M | https://aireleasetracker.com/model/meta/muse-spark-1.2 |
| Muse Spark 1.1 | Jul 9 2026 | Proprietary | — | https://aireleasetracker.com/model/meta/muse-spark-1.1 |
| Muse Spark | Apr 8 2026 | Proprietary | — | https://aireleasetracker.com/model/meta/muse-spark |
| LLaMA 4 Scout | Apr 5 2025 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-4-scout |
| LLaMA 4 Maverick | Apr 5 2025 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-4-maverick |
| LLaMA 3.3 | Dec 6 2024 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-3.3 |
| LLaMA 3.2 | Sep 25 2024 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-3.2 |
| LLaMA 3.1 | Jul 23 2024 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-3.1 |
| LLaMA 3 (8B/70B) | Apr 18 2024 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-3-(8b-70b) |
| Code Llama 70B | Jan 29 2024 | Open Weight | — | https://aireleasetracker.com/model/meta/code-llama-70b |
| Code Llama | Aug 24 2023 | Open Weight | — | https://aireleasetracker.com/model/meta/code-llama |
| LLaMA 2 | Jul 18 2023 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-2 |
| LLaMA 1 | Feb 24 2023 | Open Weight | — | https://aireleasetracker.com/model/meta/llama-1 |


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Canonical page: https://aireleasetracker.com/company/meta
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.