English

HyperCLOVA X 32B Think

Computer Vision and Pattern Recognition 2026-01-08 v1 Artificial Intelligence Computation and Language Machine Learning

Abstract

In this report, we present HyperCLOVA X 32B Think, a vision-language model designed with particular emphasis on reasoning within the Korean linguistic and cultural context, as well as agentic ability. HyperCLOVA X 32B Think is pre-trained with a strong focus on reasoning capabilities and subsequently post-trained to support multimodal understanding, enhanced reasoning, agentic behaviors, and alignment with human preferences. Experimental evaluations against comparably sized models demonstrate that our model achieves strong performance on Korean text-to-text and vision-to-text benchmarks, as well as on agent-oriented evaluation tasks. By open-sourcing HyperCLOVA X 32B Think, we aim to support broader adoption and facilitate further research and innovation across both academic and industrial communities.

Cite

@article{arxiv.2601.03286,
  title  = {HyperCLOVA X 32B Think},
  author = {NAVER Cloud HyperCLOVA X Team},
  journal= {arXiv preprint arXiv:2601.03286},
  year   = {2026}
}

Comments

Technical Report

R2 v1 2026-07-01T08:53:05.403Z