Head-to-head comparison across 1benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Exaone 4.0 32B
65
Gemini 2.5 Pro
65
Treat this as a split decision. Exaone 4.0 32B makes more sense if knowledge is the priority or you want the stronger reasoning-first profile; Gemini 2.5 Pro is the better fit if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Knowledge
+41.0 difference
Exaone 4.0 32B
Gemini 2.5 Pro
N/A
$1.25 / $10
N/A
117 t/s
N/A
21.19s
128K
1M
Treat this as a split decision. Exaone 4.0 32B makes more sense if knowledge is the priority or you want the stronger reasoning-first profile; Gemini 2.5 Pro is the better fit if you need the larger 1M context window or you would rather avoid the extra latency and token burn of a reasoning model.
Exaone 4.0 32B and Gemini 2.5 Pro finish on the same provisional overall score, so this is less about a single winner and more about where the edge shows up. The provisional headline says tie; the benchmark table is where the real choice happens.
Exaone 4.0 32B is the reasoning model in the pair, while Gemini 2.5 Pro 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. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 128K for Exaone 4.0 32B.
Exaone 4.0 32B and Gemini 2.5 Pro are tied on the provisional overall score, so the right pick depends on which category matters most for your use case.
Exaone 4.0 32B has the edge for knowledge tasks in this comparison, averaging 81.8 versus 40.8. Gemini 2.5 Pro stays close enough that the answer can still flip depending on your workload.
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