Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Pro finishes one point ahead overall, 84 to 83. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
MiMo-V2-Pro's sharpest advantage is in knowledge, where it averages 87 against 81.8.
MiMo-V2-Pro gives you the larger context window at 1M, compared with 128K for Exaone 4.0 32B.
Pick MiMo-V2-Pro if you want the stronger benchmark profile. Exaone 4.0 32B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
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.
Benchmark data for this category is coming soon.
Exaone 4.0 32B
81.8
MiMo-V2-Pro
87
Benchmark data for this category is coming soon.
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.
MiMo-V2-Pro is ahead overall, 84 to 83.
MiMo-V2-Pro has the edge for knowledge tasks in this comparison, averaging 87 versus 81.8. Exaone 4.0 32B stays close enough that the answer can still flip depending on your workload.
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