LLM Reference

Preferred Networks

Researched 25d ago
Flagship Q/$
Quality
$/M out

1 model across 1 family · Latest: PLaMo-13B (2023-10)

Japanese foundation models for enterprise AI.

Research

Preferred Networks's portfolio covers 1 active model across 1 non-obsolete family, with task labels spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.

Portfolio context: 0 decision-task tags, 1 active tracked model, latest research stamp 2026-05-19.

Use it for

  • Teams evaluating general LLM work across this lab's releases
  • Readers comparing families before locking a flagship SKU
  • 1 tracked SKUs for migration and pricing follow-ups

Do not use it for

  • Choosing a hosting provider without opening a model page for price ladders

Active models

1

Non-deprecated SKUs linked to this researcher

Active families

1

Non-obsolete families in coverage

Open catalog

1 open

1 OSI source / 0 open weights (0 text-match)

Decision task tags

0

Need benchmarks or capability flags

Latest dated release

2023-10-01

PLaMo-13B

Freshness

2026-05-19

Researched 25d ago

fresh

Information

Founded2014
Tokyo, Japan

Release cadence

Showing 1 recent dated ships (full timeline below). Latest spotlight: PLaMo-13B (2023-10-01).

Where this lab wins

Task positioning unavailable until capability tags or benchmarks populate for active SKUs.

Flagship quality / price signal

Anchor SKU: PLaMo-13B (best sourced coding Q/$ in this portfolio).

Quality / dollar unavailable for this anchor — missing benchmark coverage and/or output token price on the cheapest ladder route (open the model detail after pricing lands).

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. View official API endpoints, benchmark performance, and coding/agent fit for every Preferred Networks model.

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

ModelReleasedContextInput price ($/1M)Output price ($/1M)LicenseOpenness
PLaMo-13B2023-10-014k--Apache 2.0Open source

Model families

Recent releases

  1. 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: 2026-05-19. Data sourced from public lab announcements and provider documentation.