K-EXAONE-236B-A23B vs Pixtral Large: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | Pixtral Large |
|---|---|---|
| Company | LG AI Research | Mistral AI |
| Release Date | December 30, 2025 | November 18, 2024 |
| Parameters | 236B | 124B |
| Multimodal | No | Yes |
| 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 | 0.8 |
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, Pixtral Large — 0.8.
API Cost
K-EXAONE-236B-A23B is 5.0x cheaper: input $0.60/1M vs $2.00/1M tokens.
Context Window
Pixtral Large supports a larger context: 128K vs 33K tokens.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 11/18/2024.
More About These Models
Related Comparisons
Frequently Asked Questions
Which is better for coding — K-EXAONE-236B-A23B or Pixtral Large?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — K-EXAONE-236B-A23B or Pixtral Large?
K-EXAONE-236B-A23B is cheaper for input: $0.60 per 1M tokens vs $2.00.
Which has a larger context window — K-EXAONE-236B-A23B or Pixtral Large?
Pixtral Large supports a larger context: 128,000 tokens vs 32,768.
The K-EXAONE-236B-A23B and Pixtral Large 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 Pixtral Large page. See also the complete list of AI model comparisons.