Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4o has the cleaner overall profile here, landing at 52 versus 49. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
K-Exaone is the reasoning model in the pair, while GPT-4o 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 128K for GPT-4o.
Pick GPT-4o 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.
Benchmark data for this category is coming soon.
GPT-4o
20
K-Exaone
49.4
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.
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.
GPT-4o is ahead overall, 52 to 49. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 20% and 49.4%.
K-Exaone has the edge for coding in this comparison, averaging 49.4 versus 20. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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