kakao Smarter and More (opens in new tab)
Kakao has released Kanana-2, a high-performance open-source language model specifically engineered to power Agentic AI by enhancing tool-calling and instruction-following capabilities. Surpassing its predecessors and rivaling global frontier models like Qwen3, Kanana-2 offers a versatile suite of variants designed for practical, high-efficiency application in complex service environments. ### Optimized Model Lineup: Base, Instruct, and Thinking * **Kanana-2-30b-a3b-base:** Provided as a foundational model with pre-training weights, allowing researchers to fine-tune the model using their own datasets. * **Kanana-2-30b-a3b-instruct:** A version optimized through post-training to maximize the model's ability to follow complex user instructions accurately. * **Kanana-2-30b-a3b-thinking:** Kakao’s first reasoning-specialized model, designed for tasks requiring high-level logical thinking, such as mathematics and coding. ### Strengthening Agentic AI Capabilities * **Tool Calling:** Multi-turn tool-calling performance has improved more than threefold compared to Kanana-1.5, significantly enhancing its utility with the Model Context Protocol (MCP). * **Instruction Following:** The model's ability to understand and execute multi-step, complex user requirements has been refined to ensure reliable task completion. * **Reasoning-Tool Integration:** Unlike many reasoning models that lose instruction-following quality during deep thought, the "Thinking" variant maintains high performance in both logical deduction and tool use. ### High-Efficiency Architecture for Scale * **MLA (Multi-head Latent Attention):** Compresses memory usage to handle long contexts more efficiently, reducing the resources needed for extensive data processing. * **MoE (Mixture of Experts):** Activates only the necessary parameters during inference, maintaining high performance while drastically reducing computational costs and response times. * **Improved Tokenization:** A newly trained tokenizer has improved Korean language token efficiency by 30%, enabling faster throughput and lower latency in high-traffic environments like KakaoTalk. ### Expanded Multilingual Support * **Broad Linguistic Reach:** The model has expanded its support from just Korean and English to include six languages: Korean, English, Japanese, Chinese, Thai, and Vietnamese. By open-sourcing Kanana-2, Kakao provides a robust foundation for developers seeking to build responsive, tool-integrated AI services. Its focus on practical efficiency and advanced reasoning makes it an ideal choice for implementing agentic workflows in real-world applications where speed and accuracy are critical.