Naver Cloud
Key Points
- 1Naver Cloud's HyperCLOVA X Inference 32B model achieved top-tier "Grade 1" results across all major subjects, including a perfect score in English, on the 2025 Korean College Scholastic Ability Test (Suneung).
- 2This accomplishment demonstrates the significant potential of smaller AI models, as the 32B model exhibited enhanced reasoning capabilities crucial for complex problem-solving.
- 3Developed as part of a national AI foundation model project, this high-performing model aims to bolster AI competitiveness by offering efficient and powerful solutions for industry and daily life.
Naver Cloud's HyperCLOVA X Inference 32B model has achieved top-tier performance in a test simulating the 2024 College Scholastic Ability Test (CSAT), demonstrating the capabilities of relatively compact AI models. This 32-billion-parameter model, currently under development for the 'Unique AI Foundation Model' project, successfully obtained 1st-grade equivalent scores in all major subjects tested: Korean Language, Mathematics, and English.
Specifically, in the Korean Language section, the model scored 89 points in both 'Language and Media' and 'Speech and Writing' elective subjects, earning a 1st-grade equivalent. For Mathematics, it achieved 92 points in 'Geometry' and 'Probability and Statistics,' and 89 points in 'Calculus,' consistently exhibiting 1st-grade level performance across all elective mathematics subjects. Notably, the model secured a perfect score of 100 points in the English section, despite the 2024 CSAT English exam being widely regarded as exceptionally difficult.
The core methodology underpinning the HyperCLOVA X Inference 32B model's success lies in its enhanced cognitive capabilities, which contribute to improved accuracy and utility of generated information. These capabilities include:
- Complex Problem Decomposition: The model is proficient in breaking down intricate problems into smaller, manageable units. This suggests an internal reasoning process akin to Chain-of-Thought (CoT) prompting, where complex tasks are tackled through intermediate steps.
- Adaptive Tool/Function Selection: It possesses the ability to intelligently select and utilize appropriate tools or functions for specific problem-solving scenarios, indicative of advanced tool-use mechanisms within its architecture.
- Self-Correction and Reflection: The model demonstrates a capacity to reflect on its processes and outcomes, identify errors, and subsequently correct its mistakes. This self-correction mechanism enhances its robustness and reliability.
Naver Cloud emphasizes that the model's high performance, particularly given its comparatively smaller parameter count (32B), validates the potential of efficient AI architectures. This achievement underscores Naver Cloud's commitment to strengthening its competitiveness in developing high-performance and high-efficiency AI technologies that can be broadly applied across industries and daily life. The company also anticipates introducing an 'omnimodal' model as part of its ongoing 'Unique AI Foundation Model' initiative. Concurrently, the broader HyperCLOVA X generative AI platform is scheduled for commercial open-source release on April 24th, marking its initial availability for commercial use among major generative AI models in South Korea. This progress aligns with a national project by the Ministry of Science and ICT and the National IT Industry Promotion Agency (NIPA), which will see development outcomes from five selected teams (Naver Cloud, Upstage, SK Telecom, NC AI, LG AI Research) presented on August 30th.