K-EXAONE-236B-A23B vs MiMo-V2-Flash: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | MiMo-V2-Flash |
|---|---|---|
| Company | LG AI Research | Xiaomi |
| Release Date | December 30, 2025 | December 15, 2025 |
| Parameters | 236B | 309B |
| Multimodal | No | No |
| Context (input) | 33K | — |
| Context (output) | 33K | — |
| Input Price / 1M | $0.60 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 0.8 | 0.9 |
| Benchmarks | ||
| MMLU-Pro | 0.8 | 0.8 |
| AIME 2025 | 0.9 | 0.9 |
| LiveCodeBench v6 | 0.8 | 0.8 |
Visual Benchmark Comparison
K-EXAONE-236B-A23B
MiMo-V2-Flash
MMLU-Pro0.8 vs 0.8
0.8
0.8
AIME 20250.9 vs 0.9
0.9
0.9
LiveCodeBench v60.8 vs 0.8
0.8
0.8
Verdict
K-EXAONE-236B-A23B leads in 1 out of 2 comparison categories.
Overall Performance
Both models show comparable average scores: K-EXAONE-236B-A23B — 0.8, MiMo-V2-Flash — 0.9.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 12/15/2025.
More About These Models
Related Comparisons
The K-EXAONE-236B-A23B and MiMo-V2-Flash 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 MiMo-V2-Flash page. See also the complete list of AI model comparisons.