K-EXAONE-236B-A23B vs Mistral Large 2: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | Mistral Large 2 |
|---|---|---|
| Company | LG AI Research | Mistral AI |
| Release Date | December 30, 2025 | July 24, 2024 |
| Parameters | 236B | 123B |
| Multimodal | No | No |
| Context (input) | 33K | 128K |
| Context (output) | 33K | 128K |
| Input Price / 1M | $0.60 | $2.00 |
| Output Price / 1M | $1.00 | $6.00 |
| Average Score | 0.8 | 0.9 |
Verdict
K-EXAONE-236B-A23B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: K-EXAONE-236B-A23B — 0.8, Mistral Large 2 — 0.9.
API Cost
K-EXAONE-236B-A23B is 5.0x cheaper: input $0.60/1M vs $2.00/1M tokens.
Context Window
Mistral Large 2 supports a larger context: 128K vs 33K tokens.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 7/24/2024.
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The K-EXAONE-236B-A23B and Mistral Large 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 Mistral Large 2 page. See also the complete list of AI model comparisons.