Which is better for coding — GPT-5.2 Codex 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 Codex or K-EXAONE-236B-A23B?

K-EXAONE-236B-A23B is cheaper for input: $0.60 per 1M tokens vs $1.75.

Which has a larger context window — GPT-5.2 Codex or K-EXAONE-236B-A23B?

GPT-5.2 Codex supports a larger context: 400,000 tokens vs 32,768.

GPT-5.2 Codex vs K-EXAONE-236B-A23B: Specs & Benchmark Comparison

Characteristic	GPT-5.2 Codex	K-EXAONE-236B-A23B
Company	OpenAI	LG AI Research
Release Date	January 13, 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	0.6	0.8

Verdict

GPT-5.2 Codex leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GPT-5.2 Codex — 0.6, 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-5.2 Codex supports a larger context: 400K vs 33K tokens.

Recency

GPT-5.2 Codex is newer: released 1/13/2026 vs 12/30/2025.

More About These Models

GPT-5.2 Codex

OpenAI — specs, benchmarks, API

K-EXAONE-236B-A23B

LG AI Research — specs, benchmarks, API

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The GPT-5.2 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-5.2 Codex or K-EXAONE-236B-A23B page. See also the complete list of AI model comparisons.