Preferred Networks
1 model across 1 family · Latest: PLaMo-13B (2023-10)
Japanese foundation models for enterprise AI.
Preferred Networks is a Japanese AI research organization founded in 2014. Japanese foundation models for enterprise AI. Preferred Networks ships 1 model family totaling 1 model, with the most recent release PLaMo-13B in 2023-10. Notable families include PLaMo. Use it as a stable reference for lab background, release coverage, and follow-up model pages as they are added. Researchers and evaluators can scan counts, links, release history, and source references without leaving the directory.
About
Preferred Networks (PFN) is a leading Japanese AI startup that develops the PLaMo family of large language models trained on English and Japanese data. PLaMo 2 adopts the Samba hybrid architecture combining Mamba2 SSM with sliding window attention, while PLaMo 3 NICT was developed in collaboration with Japan's National Institute of Information and Communications Technology. The company offers models ranging from 1B to 100B parameters.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| PLaMo-13B | 2023-10-01 | - | - | - | Apache 2.0 |
Model families
Recent releases
- PLaMo-13B- 2023-10-01
FAQ
Who founded Preferred Networks and when?
Preferred Networks was founded in 2014 and is associated with Tokyo, Japan.
What models has Preferred Networks released?
Preferred Networks ships 1 model across 1 family: PLaMo.
Is Preferred Networks's technology open source?
All tracked models are released under Apache 2.0.
Where is Preferred Networks headquartered?
Preferred Networks is headquartered in Tokyo, Japan.
What is Preferred Networks known for?
Japanese foundation models for enterprise AI. Its most prominent tracked family is PLaMo.
How can I access Preferred Networks's models?
Preferred Networks's provider availability is tracked on model pages as API and hosting data is verified.
Explore related pages
Last reviewed: 2026-04-18. Data sourced from public lab announcements and provider documentation.