LG Develops Custom "EXAONE Deep" State of The Art Reasoning AI Model
LG AI Research, yes, that LG, which develops consumer electronics, has launched EXAONE Deep, a high-performance reasoning AI that demonstrates exceptional capabilities in mathematical logic, scientific concepts, and programming challenges despite its relatively small parameter count. The flagship 32B model achieves performance metrics rivaling substantially larger models like GPT-4o and DeepSeek R1. In contrast, the 7.8B and 2.4B variants establish new benchmarks in the lightweight and on-device AI categories. The EXAONE Deep 32B model registered a 94.5 score on the CSAT 2025 Mathematics section and 90.0 on the AIME 2024, outperforming competing models while requiring only 5% of the computational resources of larger alternatives like DeepSeek-R1 (671B).
In scientific reasoning, it achieved a 66.1 score on the GPQA Diamond test, which evaluates PhD-level problem-solving capabilities across physics, chemistry, and biology. The model's 83.0 score on MMLU establishes it as the highest-performing domestically developed model in South Korea, showing LG's approach to creating efficient, high-performance AI systems. Particularly notable is the performance of the smaller variants: the 7.8B model scored 94.8 in MATH-500 and 59.6 in AIME 2025, while the 2.4B model achieved 92.3 in MATH-500 and 47.9 in AIME 2024. These results position EXAONE Deep's smaller models at the top of their respective categories across all major benchmarks, suggesting significant potential for deployment in resource-constrained environments. With sizes of up to 32 billion parameters, it will excel in single-GPU deployments. Interestingly, these models can run on a range of discrete GPUs, laptop GPUs, and some edge systems that don't have massive computational power.
In scientific reasoning, it achieved a 66.1 score on the GPQA Diamond test, which evaluates PhD-level problem-solving capabilities across physics, chemistry, and biology. The model's 83.0 score on MMLU establishes it as the highest-performing domestically developed model in South Korea, showing LG's approach to creating efficient, high-performance AI systems. Particularly notable is the performance of the smaller variants: the 7.8B model scored 94.8 in MATH-500 and 59.6 in AIME 2025, while the 2.4B model achieved 92.3 in MATH-500 and 47.9 in AIME 2024. These results position EXAONE Deep's smaller models at the top of their respective categories across all major benchmarks, suggesting significant potential for deployment in resource-constrained environments. With sizes of up to 32 billion parameters, it will excel in single-GPU deployments. Interestingly, these models can run on a range of discrete GPUs, laptop GPUs, and some edge systems that don't have massive computational power.
