Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Flash is clearly ahead on the aggregate, 63 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Flash's sharpest advantage is in coding, where it averages 77.9 against 49.4. The single biggest benchmark swing on the page is SWE-bench Verified, 49.4% to 73.4%.
Pick MiMo-V2-Flash if you want the stronger benchmark profile. K-Exaone only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Benchmark data for this category is coming soon.
K-Exaone
49.4
MiMo-V2-Flash
77.9
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.
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.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
MiMo-V2-Flash is ahead overall, 63 to 49. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 49.4% and 73.4%.
MiMo-V2-Flash has the edge for coding in this comparison, averaging 77.9 versus 49.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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