K-EXAONE-236B-A23B vs o1-pro: Specs & Benchmark Comparison
| Characteristic | K-EXAONE-236B-A23B | o1-pro |
|---|---|---|
| Company | LG AI Research | OpenAI |
| Release Date | December 30, 2025 | December 17, 2024 |
| Parameters | 236B | — |
| Multimodal | No | Yes |
| Context (input) | 33K | — |
| Context (output) | 33K | — |
| Input Price / 1M | $0.60 | — |
| Output Price / 1M | $1.00 | — |
| Average Score | 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, o1-pro — 0.8.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 12/17/2024.
More About These Models
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Frequently Asked Questions
Which is better for coding — K-EXAONE-236B-A23B or o1-pro?
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 o1-pro?
API pricing data is available on the individual model pages.
Which has a larger context window — K-EXAONE-236B-A23B or o1-pro?
Context window data is available on the individual model pages.
The K-EXAONE-236B-A23B and o1-pro 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 o1-pro page. See also the complete list of AI model comparisons.