Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
K-Exaone has the cleaner overall profile here, landing at 49 versus 46. 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 Phi-4 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 16K for Phi-4.
Pick K-Exaone if you want the stronger benchmark profile. Phi-4 only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
K-Exaone
49.4
Phi-4
55
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.
Benchmark data for this category is coming soon.
K-Exaone is ahead overall, 49 to 46.
Phi-4 has the edge for coding in this comparison, averaging 55 versus 49.4. K-Exaone stays close enough that the answer can still flip depending on your workload.
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