GPT-5.2 vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison
| Characteristic | GPT-5.2 | K-EXAONE-236B-A23B |
|---|---|---|
| Company | OpenAI | LG AI Research |
| Release Date | December 10, 2025 | December 30, 2025 |
| Parameters | — | 236B |
| Multimodal | Yes | No |
| Context (input) | 256K | 33K |
| Context (output) | 128K | 33K |
| Input Price / 1M | $1.50 | $0.60 |
| Output Price / 1M | $6.00 | $1.00 |
| Average Score | 1.0 | 0.8 |
| Benchmarks | ||
| AIME 2025 | 1.0 | 0.9 |
Visual Benchmark Comparison
GPT-5.2
K-EXAONE-236B-A23B
AIME 20251.0 vs 0.9
1.0
0.9
Verdict
K-EXAONE-236B-A23B leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.2 — 1.0, K-EXAONE-236B-A23B — 0.8.
API Cost
K-EXAONE-236B-A23B is 4.7x cheaper: input $0.60/1M vs $1.50/1M tokens.
Context Window
GPT-5.2 supports a larger context: 256K vs 33K tokens.
Recency
K-EXAONE-236B-A23B is newer: released 12/30/2025 vs 12/10/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — GPT-5.2 or K-EXAONE-236B-A23B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GPT-5.2 or K-EXAONE-236B-A23B?
K-EXAONE-236B-A23B is cheaper for input: $0.60 per 1M tokens vs $1.50.
Which has a larger context window — GPT-5.2 or K-EXAONE-236B-A23B?
GPT-5.2 supports a larger context: 256,000 tokens vs 32,768.
The GPT-5.2 and K-EXAONE-236B-A23B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GPT-5.2 or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.