Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3 has the cleaner overall profile here, landing at 25 versus 22. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V3's sharpest advantage is in mathematics, where it averages 90.2 against 44. The single biggest benchmark swing on the page is MMLU, 88.5% to 45%. Gemma 3 27B does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
DeepSeek V3 gives you the larger context window at 128K, compared with 32K for Gemma 3 27B.
Pick DeepSeek V3 if you want the stronger benchmark profile. Gemma 3 27B only becomes the better choice if reasoning is the priority.
Benchmark data for this category is coming soon.
DeepSeek V3
42
Gemma 3 27B
37
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
Gemma 3 27B
41.9
DeepSeek V3
69.6
Gemma 3 27B
43
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
Gemma 3 27B
44
DeepSeek V3 is ahead overall, 25 to 22. The biggest single separator in this matchup is MMLU, where the scores are 88.5% and 45%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 43. 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 37. Gemma 3 27B 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 44. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for reasoning in this comparison, averaging 41.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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