Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude Opus 4.6 is clearly ahead on the aggregate, 80 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.6's sharpest advantage is in coding, where it averages 72 against 49.4. The single biggest benchmark swing on the page is SWE-bench Verified, 80.8% to 49.4%.
K-Exaone is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Opus 4.6 gives you the larger context window at 1M, compared with 256K for K-Exaone.
Pick Claude Opus 4.6 if you want the stronger benchmark profile. K-Exaone only becomes the better choice if you want the stronger reasoning-first profile.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Claude Opus 4.6
72
K-Exaone
49.4
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Claude Opus 4.6 is ahead overall, 80 to 49. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 80.8% and 49.4%.
Claude Opus 4.6 has the edge for coding in this comparison, averaging 72 versus 49.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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