Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Claude Sonnet 4.6
83
Exaone 4.0 32B
65
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Knowledge
+8.1 difference
Claude Sonnet 4.6
Exaone 4.0 32B
$3 / $15
N/A
44 t/s
N/A
1.48s
N/A
200K
128K
Pick Claude Sonnet 4.6 if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if knowledge is the priority or you want the stronger reasoning-first profile.
Claude Sonnet 4.6 is clearly ahead on the provisional aggregate, 83 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Exaone 4.0 32B is the reasoning model in the pair, while Claude Sonnet 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Sonnet 4.6 gives you the larger context window at 200K, compared with 128K for Exaone 4.0 32B.
Claude Sonnet 4.6 is ahead on BenchLM's provisional leaderboard, 83 to 65. The biggest single separator in this matchup is MMLU-Pro, where the scores are 79.2% and 81.8%.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 73.7. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
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