Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3 is clearly ahead on the aggregate, 25 to 15. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3's sharpest advantage is in mathematics, where it averages 90.2 against 31. The single biggest benchmark swing on the page is MMLU, 88.5% to 32%. Kimi K2 does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
Pick DeepSeek V3 if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if reasoning is the priority.
Benchmark data for this category is coming soon.
DeepSeek V3
42
Kimi K2
24
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
Kimi K2
28.9
DeepSeek V3
69.6
Kimi K2
30
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
Kimi K2
31
DeepSeek V3 is ahead overall, 25 to 15. The biggest single separator in this matchup is MMLU, where the scores are 88.5% and 32%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 30. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for coding in this comparison, averaging 42 versus 24. Kimi K2 stays close enough that the answer can still flip depending on your workload.
DeepSeek V3 has the edge for math in this comparison, averaging 90.2 versus 31. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Kimi K2 has the edge for reasoning in this comparison, averaging 28.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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