GPT-5.3 Codex vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison
| Characteristic | GPT-5.3 Codex | K-EXAONE-236B-A23B |
|---|---|---|
| Company | OpenAI | LG AI Research |
| Release Date | February 5, 2026 | December 30, 2025 |
| Parameters | — | 236B |
| Multimodal | Yes | No |
| Context (input) | 400K | 33K |
| Context (output) | 128K | 33K |
| Input Price / 1M | $1.75 | $0.60 |
| Output Price / 1M | $14.00 | $1.00 |
| Average Score | 0.7 | 0.8 |
Verdict
GPT-5.3 Codex leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.3 Codex — 0.7, K-EXAONE-236B-A23B — 0.8.
API Cost
K-EXAONE-236B-A23B is 9.8x cheaper: input $0.60/1M vs $1.75/1M tokens.
Context Window
GPT-5.3 Codex supports a larger context: 400K vs 33K tokens.
Recency
GPT-5.3 Codex is newer: released 2/5/2026 vs 12/30/2025.
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The GPT-5.3 Codex 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-5.3 Codex or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.