Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4.1 nano has the cleaner overall profile here, landing at 51 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-4.1 nano 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. GPT-4.1 nano gives you the larger context window at 1M, compared with 256K for K-Exaone.
Pick GPT-4.1 nano if you want the stronger benchmark profile. K-Exaone only becomes the better choice if coding is the priority or 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.
GPT-4.1 nano
18
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.
GPT-4.1 nano is ahead overall, 51 to 49.
K-Exaone has the edge for coding in this comparison, averaging 49.4 versus 18. GPT-4.1 nano stays close enough that the answer can still flip depending on your workload.
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