Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Claude 4 Sonnet is clearly ahead on the aggregate, 65 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
K-Exaone is the reasoning model in the pair, while Claude 4 Sonnet 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. K-Exaone gives you the larger context window at 256K, compared with 200K for Claude 4 Sonnet.
Pick Claude 4 Sonnet if you want the stronger benchmark profile. K-Exaone only becomes the better choice if coding is the priority or you need the larger 256K context window.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Claude 4 Sonnet
49.1
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.
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.
Claude 4 Sonnet is ahead overall, 65 to 49. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 72.7% and 49.4%.
K-Exaone has the edge for coding in this comparison, averaging 49.4 versus 49.1. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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