RakutenAI 2.0
Open 8x7B MoE Japanese LLM with 13B active parameters.
About
RakutenAI 2.0 was unveiled by Rakuten Group in February 2025 as the company's first Japanese large language model based on a mixture-of-experts architecture. The 8x7B foundation model derives from RakutenAI-7B, routes each token through two of eight experts (13 billion active parameters), and was continually trained on high-quality Japanese and English data.\n\nReleased to the open-source community under Apache 2.0 with an instruct-tuned variant, it achieved leading Japanese MT-Bench scores among open Japanese models at release. A 1.5B mini variant was released alongside for small-device deployments.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 108; Trending score 74/100 from researcher assessment.