Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Exaone 4.0 32B
52
Gemma 4 31B
62
Pick Gemma 4 31B if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority.
Knowledge
+20.5 difference
Exaone 4.0 32B
Gemma 4 31B
N/A
$0 / $0
N/A
N/A
N/A
N/A
128K
256K
Pick Gemma 4 31B if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority.
Gemma 4 31B is clearly ahead on the provisional aggregate, 62 to 52. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 4 31B gives you the larger context window at 256K, compared with 128K for Exaone 4.0 32B.
Gemma 4 31B is ahead on BenchLM's provisional leaderboard, 62 to 52. The biggest single separator in this matchup is MMLU-Pro, where the scores are 81.8% and 85.2%.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 61.3. Inside this category, Artificial Analysis Intelligence Index is the benchmark that creates the most daylight between them.
Estimates at 50,000 req/day · 1000 tokens/req average.
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