Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Exaone 4.0 32B
63
MAI-Thinking-1
65
Verified leaderboard positions: Exaone 4.0 32B unranked · MAI-Thinking-1 #23
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority.
Knowledge
+11.9 difference
Math
+11.7 difference
Exaone 4.0 32B
MAI-Thinking-1
N/A
N/A
N/A
N/A
N/A
N/A
128K
256K
Pick MAI-Thinking-1 if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority.
MAI-Thinking-1 has the cleaner provisional overall profile here, landing at 65 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
MAI-Thinking-1's sharpest advantage is in mathematics, where it averages 97 against 85.3. The single biggest benchmark swing on the page is AIME 2025, 85.3% to 97%. Exaone 4.0 32B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
MAI-Thinking-1 gives you the larger context window at 256K, compared with 128K for Exaone 4.0 32B.
MAI-Thinking-1 is ahead on BenchLM's provisional leaderboard, 65 to 63. The biggest single separator in this matchup is AIME 2025, where the scores are 85.3% and 97%.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 69.9. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
MAI-Thinking-1 has the edge for math in this comparison, averaging 97 versus 85.3. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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