Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiMo-V2-Omni is clearly ahead on the aggregate, 76 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiMo-V2-Omni's sharpest advantage is in coding, where it averages 74.8 against 49.4. The single biggest benchmark swing on the page is SWE-bench Verified, 49.4% to 74.8%.
MiMo-V2-Omni gives you the larger context window at 262K, compared with 256K for K-Exaone.
Pick MiMo-V2-Omni 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-Omni
74.8
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.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
MiMo-V2-Omni is ahead overall, 76 to 49. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 49.4% and 74.8%.
MiMo-V2-Omni has the edge for coding in this comparison, averaging 74.8 versus 49.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
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