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 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash gives you the larger context window at 256K, compared with 128K for Exaone 4.0 32B.
Pick Exaone 4.0 32B if you want the stronger benchmark profile. MiMo-V2-Flash only becomes the better choice if mathematics is the priority or you need the larger 256K context window.
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.
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.
Exaone 4.0 32B
81.8
MiMo-V2-Flash
82.1
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Exaone 4.0 32B
85.3
MiMo-V2-Flash
94.1
Exaone 4.0 32B is ahead overall, 83 to 63. The biggest single separator in this matchup is AIME 2025, where the scores are 85.3% and 94.1%.
MiMo-V2-Flash has the edge for knowledge tasks in this comparison, averaging 82.1 versus 81.8. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
MiMo-V2-Flash has the edge for math in this comparison, averaging 94.1 versus 85.3. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
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