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 68. 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 75.6. The single biggest benchmark swing on the page is MMLU-Pro, 81.8% to 78%.
Mistral Small 4 (Reasoning) gives you the larger context window at 256K, compared with 128K for Exaone 4.0 32B.
Pick Exaone 4.0 32B if you want the stronger benchmark profile. Mistral Small 4 (Reasoning) only becomes the better choice if you need the larger 256K context window.
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.
Benchmark data for this category is coming soon.
Exaone 4.0 32B
81.8
Mistral Small 4 (Reasoning)
75.6
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Exaone 4.0 32B
85.3
Mistral Small 4 (Reasoning)
83.8
Exaone 4.0 32B is ahead overall, 83 to 68. The biggest single separator in this matchup is MMLU-Pro, where the scores are 81.8% and 78%.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 75.6. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Exaone 4.0 32B has the edge for math in this comparison, averaging 85.3 versus 83.8. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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