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Kanana-1.5-15.7B-a3B

Korea's first open-source MoE: 15.7B parameters, only 3B active per inference.

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About

Kanana-1.5-15.7B-a3B is Kakao's open-source mixture-of-experts language model, released in July 2025 alongside its multimodal sibling. It carries 15.7 billion total parameters but activates only about 3 billion during inference.

Kakao built the MoE via upcycling, replicating the MLP layers of its existing 3B model into multiple expert layers rather than training from scratch. Despite using far fewer active parameters, Kakao reports it matches or exceeds the performance of Kanana-1.5-8B.

Both the multimodal and MoE models were released under Apache 2.0, permitting commercial use, a first for a Korean MoE open-source release.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

July 1, 2025

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

language-modelingkorean-aimoecost-efficient-inference

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 116; Trending score 74/100 from researcher assessment.

Sources