K-EXAONE-236B-A23B vs Mercury 2: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | Mercury 2 |
|---|---|---|
| Company | LG AI Research | Inception |
| Release Date | December 30, 2025 | February 1, 2026 |
| Parameters | 236B | — |
| Multimodal | No | No |
| Context (input) | 33K | — |
| Context (output) | 33K | — |
| Input Price / 1M | $0.60 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 0.8 | 0.7 |
| Benchmarks | ||
| IFBench | 0.7 | 0.7 |
| AIME 2025 | 0.9 | 0.9 |
Visual Benchmark Comparison
K-EXAONE-236B-A23B
Mercury 2
IFBench0.7 vs 0.7
0.7
0.7
AIME 20250.9 vs 0.9
0.9
0.9
Verdict
Mercury 2 leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: K-EXAONE-236B-A23B — 0.8, Mercury 2 — 0.7.
Recency
Mercury 2 is newer: released 2/1/2026 vs 12/30/2025.
More About These Models
Related Comparisons
The K-EXAONE-236B-A23B and Mercury 2 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the K-EXAONE-236B-A23B or Mercury 2 page. See also the complete list of AI model comparisons.