Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Exaone 4.0 32B is clearly ahead on the aggregate, 83 to 71. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Exaone 4.0 32B's sharpest advantage is in knowledge, where it averages 81.8 against 78.1. The single biggest benchmark swing on the page is AIME 2025, 85.3% to 96.1%. Kimi K2.5 (Reasoning) does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
Pick Exaone 4.0 32B if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if mathematics is the priority.
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.
Exaone 4.0 32B
81.8
Kimi K2.5 (Reasoning)
78.1
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.
Exaone 4.0 32B
85.3
Kimi K2.5 (Reasoning)
96.1
Exaone 4.0 32B is ahead overall, 83 to 71. The biggest single separator in this matchup is AIME 2025, where the scores are 85.3% and 96.1%.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 78.1. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for math in this comparison, averaging 96.1 versus 85.3. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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