Kanana 1.5

Kanana-1.5-v-3B is part of Kakao’s Kanana 1.5 generation of models, designed to merge visual understanding with text reasoning in a compact 3B parameter scale. The model can accept mixed inputs—such as images, charts, screenshots, or text documents—and generate accurate, grounded text responses. Its training emphasizes practical visual tasks like OCR, chart/diagram interpretation, and screenshot/UI reasoning, while maintaining reliable instruction following on text-only prompts.

Despite its small footprint, the model supports long-context prompts, structured JSON outputs, and tool/function calling, making it easy to slot into RAG pipelines, knowledge assistants, or automation frameworks. It streams responses for interactive use and can be fine-tuned or quantized for cost-sensitive deployment on modest GPUs.

Kanana-1.5-v-3B is typically used in document automation, multimodal copilots, accessibility features (like generating alt text), customer service that requires screenshot/image understanding, and lightweight enterprise workflows that need multimodal reasoning without the cost of much larger vision–language models. Positioned as the entry-level multimodal tier of the Kanana family, it’s designed to give developers an affordable yet capable path into multimodal AI.