Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2-Codex is clearly ahead on the aggregate, 72 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.2-Codex's sharpest advantage is in coding, where it averages 56.8 against 49.4.
GPT-5.2-Codex gives you the larger context window at 400K, compared with 256K for K-Exaone.
Pick GPT-5.2-Codex if you want the stronger benchmark profile. K-Exaone only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Benchmark data for this category is coming soon.
GPT-5.2-Codex
56.8
K-Exaone
49.4
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
GPT-5.2-Codex is ahead overall, 72 to 49.
GPT-5.2-Codex has the edge for coding in this comparison, averaging 56.8 versus 49.4. K-Exaone stays close enough that the answer can still flip depending on your workload.
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