Description
HyperCLOVA X is NAVER's proprietary large language model, built for enterprise and business applications and marketed as one of the world's leading LLMs for solving complex business challenges. NAVER positions its strength specifically around Korean language and culture: the company says HyperCLOVA X is trained on 6,500 times more Korean data than GPT-4, and reports, in its own benchmarks, higher scores than GPT-4 on tests such as K-MMLU's Korean subset, the HAE-RAE Bench, and KorNAT's common-knowledge and social-value alignment measures. NAVER also reports, again in its own testing, better Korean writing quality than GPT-4 on the K2-Eval benchmark and stronger machine-translation accuracy than GPT-4 and Google Translate for English-to-Korean, Japanese-to-Korean and Chinese-to-Korean translation.
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HyperCLOVA X is offered as a family rather than a single model. NAVER's site describes HyperCLOVA X THINK as a reasoning-focused model that processes text and visual information together for tasks like STEM problem solving and image-based instruction following, DASH as a lighter, faster option, and a SEED line of openly released models that includes SEED 32B Think and SEED 14B Think (step-by-step reasoning with self-correction), SEED 8B Omni (a Korean-centered any-to-any model handling text, image and audio in one architecture) and SEED 3B (specialized in Korean-related image and video understanding). Across the family, NAVER says HyperCLOVA X supports Korean, English, Japanese and Chinese, understands images and audio natively, and uses a Korean-optimized tokenizer that NAVER says lets it run up to twice as fast and at lower cost than English-centric LLMs of similar scale.
Businesses build on HyperCLOVA X through CLOVA Studio, NAVER's LLMOps platform for managing the model lifecycle: exploring use cases through prompt engineering, training and fine-tuning on domain-specific data, designing APIs to integrate model output into other systems, evaluating performance, and deploying and monitoring the result. NAVER cites its own deployments, including a personalized product recommendation service for NAVER PlusStore and the NCLUE service on NAVER Cloud Platform, along with customer deployments such as Tugboat (a learning-consulting service from DAEKYOCNS), Hellomax (an advertising agency service from ZEBRA BROTHERS), the Gyeonggi Business Assistant support-program search platform, and the Seoul Metropolitan Government's Seoul Data Hub public-data chatbot. NAVER also reports that its broader AI research group has published more than 450 papers with over 47,000 citations as of 2025.
- CategoryAI Models & LLMs
- Pricing ModelContact sales
- DeploymentCloud
- PlatformsWeb
HyperCLOVA X Highlights
HyperCLOVA X THINK: a reasoning-focused model for multimodal, step-by-step problem solving
HyperCLOVA X DASH: a lightweight, fast-response model variant
Open SEED model line, including SEED 32B/14B Think, SEED 8B Omni and SEED 3B
Native multilingual support for Korean, English, Japanese and Chinese
Native multimodality: understands and discusses images and audio
Korean-optimized tokenizer for faster, lower-cost inference
CLOVA Studio LLMOps platform for training, fine-tuning, deployment and monitoring
NAVER-reported benchmark gains over GPT-4 on Korean-language and cultural-alignment tests
Getting Started with HyperCLOVA X
Try the model: Explore HyperCLOVA X through prompt engineering in CLOVA Studio to see if it fits your use case.
Fine-tune: Train or fine-tune a HyperCLOVA X model on your own domain-specific data inside CLOVA Studio.
Build the integration: Design APIs in CLOVA Studio to connect model output into your product.
Evaluate: Test performance from different angles before rolling the model out.
Deploy and monitor: Launch the model and manage it in CLOVA Studio with ongoing monitoring.
HyperCLOVA X's Use Cases
- Korean business chatbots
- Multilingual translation
- Product recommendation engines
- Public-sector information chatbots
