NAVER Releases HyperCLOVA X As Free Open Source For Commercial Use

Naver will release its large language model HyperCLOVA X as open-source software for commercial use starting April 24, 2025. The move marks a major step in expanding Korea’s sovereign AI ecosystem by making powerful generative AI more accessible.

Naver Cloud CEO Kim Yuwon announced that three lightweight versions of HyperCLOVA X—SEED 3B, 1.5B, and 0.5B—will be available for free to both businesses and researchers. These models can now be used for commercial purposes, unlike earlier versions that were restricted to research-only licensing.

This decision aims to lower barriers for small and medium-sized companies that had hesitated due to costs or licensing limitations. It also aligns with Naver’s broader On-Service AI strategy to create practical, easy-to-use AI tools.

Multimodal AI for Text, Image, and Video

Among the newly released models, HyperCLOVA X SEED 3B stands out. It is a multimodal model that can handle text, images, and videos. Naver says the model performs well in tasks like image description, chart analysis, and object recognition.

SEED 3B was tested across nine benchmark tests—including Video-MME, TextVQA-Val, and Korean VisIT-Bench—and scored higher than similar models from US and Chinese tech companies. In some areas, it matched larger models that use more computing resources.

This makes it suitable for practical services like creating ad copy from product pages or building media-rich travel services.

Focus on Lightweight and Reasoning Models

The smaller SEED models—1.5B and 0.5B—are designed for fast processing and lower GPU requirements. These are expected to find wide application in real-world commercial services where cost-efficiency matters.

CEO Kim highlighted Naver’s focus on developing models that can be easily embedded into services. He mentioned that lightweight and reasoning models are in highest demand now.

Naver also plans to release a new reasoning model later this year. It will improve on tasks like math, programming, and automated information search. The reasoning model will be capable of handling complex prompts, integrating APIs, and choosing tools autonomously to complete tasks.

Building Toward AI That Understands Voice

Naver is also working on expanding HyperCLOVA X’s capabilities to include voice. A new voice model will integrate the core knowledge and reasoning functions from the text model into speech. The goal is to support emotionally expressive voice synthesis and more natural conversations between AI and humans.

Future services may feature AI systems that seamlessly switch between text and voice for more fluid interactions.

Strengthening Korea’s AI Ecosystem

Naver emphasized that making these models open-source is part of its broader mission to develop sovereign AI. The company believes strong national capabilities are needed to lead in AI and that collaboration across sectors is essential.

Kim Yuwon stated, “Sovereign AI is a national imperative,” and called for a broader ecosystem that fosters innovation and integrates AI into daily life.

He concluded by saying that these efforts will help Korea build a more resilient and advanced AI infrastructure.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.