Rakuten
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 current family, spanning general LLM work. Open a model detail page to compare provider routes and sourced benchmarks.
Covers 0 workload areas across 4 active tracked models; last verified 2026-05-19.
Use it for
- Teams evaluating general LLM work across this lab's releases
- Comparing model families before committing to a flagship
- Migration and pricing follow-ups across 4 tracked models
Do not use it for
- Choosing a hosting provider without opening a model page for price ladders
Active models
4
Current models from this lab, excluding deprecated ones
Active families
1
Current model families from this lab
Open catalog
4 open
0 open source / 4 open weights
Lowest output price
Not tracked
No provider output pricing linked yet
Latest dated release
2026-03-17
Rakuten AI 3.0
Freshness
2026-05-19
Researched 44d ago
Information
Release cadence
Showing 4 recent dated releases (full timeline below). Latest: Rakuten AI 3.0 (2026-03-17).
Where this lab wins
Not enough capability or benchmark coverage yet to call strengths for this lab.
Flagship quality / price signal
Flagship: RakutenAI 7B (best sourced coding quality-per-dollar in this portfolio).
Quality-per-dollar unavailable for this flagship — benchmark coverage or output token pricing is still missing.
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. View official API endpoints, benchmark performance, and coding/agent fit for every Rakuten model.
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 | Openness |
|---|---|---|---|---|---|---|
| Rakuten AI 3.0 | 2026-03-17 | - | - | - | Llama 3 Community | Open weights |
| RakutenAI 7B | 2023-12-20 | 4k | - | - | Llama 3 Community | Open weights |
| RakutenAI 7B Instruct | 2023-12-20 | 4k | - | - | Llama 3 Community | Open weights |
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?
All tracked models are released under Open Weights.
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: 2026-05-19. Data sourced from public lab announcements and provider documentation.