Kakao updates Kanana-2, releases 4 open-source models
Kakao has updated its proprietary large language model (LLM), Kanana-2, releasing four additional variants of the model as open source. After demonstrating strong performance and efficiency optimized for agentic artificial intelligence (AI) with Kanana-2, which was open-sourced in December on Hugging Face, the company rolled out a major update a month later, adding four significantly improved models to its open-source lineup. The newly released models — the Base, Instruct, reasoning-focused Thinking and research-optimized Mid-training models — emphasize high efficiency and cost-effectiveness, while substantially strengthening tool-calling capabilities essential for agentic AI. “The updated Kanana-2 is the result of our deep focus on how to build practical agentic AI without relying on expensive infrastructure,” said Kim Byung-hak, performance lead for Kakao’s Kanana project. “By open-sourcing models that deliver high efficiency even on general-purpose infrastructure, we hope to offer a new alternative for AI adoption and help advance Korea’s AI R&D ecosystem.” The models
