LG K-EXAONE 2.0 Card - HRM8K-KSM: leaderboard
HRM8K-KSM, the Korean school-math subset of the HRM8K bilingual math benchmark, run by LG AI Research. LG AI Research K-EXAONE 2.0 model card main table (July 2026), which its technical report (arXiv 2608.04505, Table 6) gives as reasoning mode for all five models; accuracy in percent, higher is better.
Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | DeepSeek V4 Pro (Max) | 94.3 | #112 (DeepSeek V4 Pro) |
| 2 | K-EXAONE (Reasoning) | 91.9 | #387 (K-EXAONE) |
| 3 | Qwen 3.5 397B A17B (Reasoning) | 91.2 | #154 (Qwen 3.5 397B A17B) |
| 4 | GLM-5.1 (Thinking) | 89.4 | #109 (GLM-5.1) |
No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.
Interactive version: theaggregate.ai/benchmark?slug=lg-k-exaone-2-0-card-hrm8k-ksm · How It Works · Data refreshed daily, snapshot 2026-11-05.