K-EXAONE: benchmark results

LG AI Research's open Korean frontier 236B MoE (23B active) with 256K context, hybrid attention and multi-token prediction (December 2025). Provider: LG AI. Released 2025-12-31. Access: Open.

Aggregate Rating 1620 ± 13, rank #387 of 1635 rated models, from 207 benchmark results.

Strongest benchmark results

BenchmarkScoreMetricPercentile
Nejumi 4 - Toxicity - Fairness99.44Criteria met (%)94.1
Nejumi 4 - Toxicity - Social Norms98.81Criteria met (%)91.3
AA AIME 202590.33Accuracy (%)90.8
Horangi 4 - Ko-HalluLens (Nonexistent Entities)94Refusal rate (%)89.9
Korean CSAT 2026 (Easy Mode) - Mathematics100Points (out of 100)88.7
AA LiveCodeBench76.83Pass@1 (%)88.3
AA MMLU-Pro83.75Accuracy (%)87.1
Horangi 4 - HRM8K95Accuracy (%)85.6
Nejumi 4 - ALT - Toxicity84.17Score (%)81.6
K-BrowseComp - Calibration Error24.09Expected calibration error (%) of the stated confidence on K77.8
Nejumi 4 - BFCL - Live AST72.22Accuracy (%)77.8
Horangi 4 - HAE-RAE Bench (Reading Comprehension)90Accuracy (%)77.4

Interactive version: theaggregate.ai/model?slug=k-exaone · How It Works · Data refreshed daily, snapshot 2026-11-05.