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 66. 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 Opus 4.5 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 Opus 4.5 gives you the larger context window at 200K, compared with 128K for Exaone 4.0 32B.
Pick Exaone 4.0 32B if you want the stronger benchmark profile. Claude Opus 4.5 only becomes the better choice if knowledge is the priority or you need the larger 200K context window.
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.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Claude Opus 4.5
95
Exaone 4.0 32B
81.8
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.
Claude Opus 4.5
97.1
Exaone 4.0 32B
85.3
Exaone 4.0 32B is ahead overall, 83 to 66. The biggest single separator in this matchup is AIME 2025, where the scores are 98% and 85.3%.
Claude Opus 4.5 has the edge for knowledge tasks in this comparison, averaging 95 versus 81.8. Exaone 4.0 32B stays close enough that the answer can still flip depending on your workload.
Claude Opus 4.5 has the edge for math in this comparison, averaging 97.1 versus 85.3. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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