Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Small 4 (Reasoning) is clearly ahead on the aggregate, 68 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Small 4 (Reasoning)'s sharpest advantage is in coding, where it averages 63.6 against 49.4.
Pick Mistral Small 4 (Reasoning) if you want the stronger benchmark profile. K-Exaone only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Benchmark data for this category is coming soon.
K-Exaone
49.4
Mistral Small 4 (Reasoning)
63.6
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.
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.
Mistral Small 4 (Reasoning) is ahead overall, 68 to 49.
Mistral Small 4 (Reasoning) has the edge for coding in this comparison, averaging 63.6 versus 49.4. K-Exaone stays close enough that the answer can still flip depending on your workload.
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