4 models across 1 family · Latest: Rakuten AI 3.0 (2026-03)
E-commerce and AI-powered services.
Rakuten's portfolio covers 4 active models 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, 4 active tracked models, latest research stamp 2026-04-15.
Use this portfolio page for
- Teams evaluating general LLM work across this lab's releases
- Readers comparing families before locking a flagship SKU
- 4 tracked SKUs for migration and pricing follow-ups
Do not stop here for
- Choosing a hosting provider without opening a model page for price ladders
Active models
4
Non-deprecated SKUs linked to this researcher
Active families
1
Non-obsolete families in coverage
Open catalog
0 OSS
0 open-weight (text match)
Decision task tags
0
Need benchmarks or capability flags
Latest dated release
2026-03-17
Rakuten AI 3.0
Freshness
2026-04-15
Researched 33d ago
Release cadence
Showing 4 recent dated ships (full timeline below). Latest spotlight: Rakuten AI 3.0 (2026-03-17).
Where this lab wins
Task positioning unavailable until capability tags or benchmarks populate for active SKUs.
Flagship quality / price signal
Anchor SKU: RakutenAI 7B (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).
Rakuten is a Japanese AI research organization founded in 1997. E-commerce and AI-powered services. Rakuten ships 1 model family totaling 4 models, with the most recent release Rakuten AI 3.0 in 2026-03. Notable families include RakutenAI. 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
Rakuten is a Japanese e-commerce and technology company that leverages AI to power various services and platforms across their diverse portfolio of businesses. While not primarily focused on AI research, Rakuten integrates AI technologies into their products to enhance user experiences, personalize recommendations, and streamline operations. For example, in their e-commerce platform, Rakuten uses AI to provide personalized product recommendations, optimize search results, and improve fraud detection. In their financial services, AI powers chatbots that offer automated customer support and financial advice. In their mobile messaging app, Viber, AI enables features like smart replies and personalized stickers. Software engineers and SaaS executives can learn from Rakuten's approach to AI integration, which demonstrates how AI can be applied across various business domains to drive innovation, efficiency, and customer satisfaction.
Featured models
| Model | Released | Context | Input price ($/1M) | Output price ($/1M) | License |
|---|---|---|---|---|---|
| Rakuten AI 3.0 | 2026-03-17 | - | - | - | Unknown |
| RakutenAI 7B | 2023-12-20 | 4K | - | - | Unknown |
| RakutenAI 7B Instruct | 2023-12-20 | 4K | - | - | Unknown |
Model families
Recent releases
- Rakuten AI 3.0- 2026-03-17
- RakutenAI 7B- 2023-12-20
- RakutenAI 7B Instruct- 2023-12-20
- RakutenAI 7B Chat- 2023-12-20
FAQ
Who founded Rakuten and when?
Rakuten was founded in 1997 and is associated with Tokyo, Japan.
What models has Rakuten released?
Rakuten ships 4 models across 1 family: RakutenAI.
Is Rakuten's technology open source?
LLMReference does not yet have enough model license data to classify Rakuten's releases.
Where is Rakuten headquartered?
Rakuten is headquartered in Tokyo, Japan.
What is Rakuten known for?
E-commerce and AI-powered services. Its most prominent tracked family is RakutenAI.
How can I access Rakuten's models?
Rakuten's models are available via NVIDIA NIM.
Explore related pages
Last reviewed: 2026-04-15. Data sourced from public lab announcements and provider documentation.