Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron-4 15B has the cleaner overall profile here, landing at 27 versus 25. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Nemotron-4 15B's sharpest advantage is in reasoning, where it averages 50.9 against 24.9. The single biggest benchmark swing on the page is MMLU, 88.5% to 54%. DeepSeek V3 does hit back in mathematics, 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 Nemotron-4 15B.
Pick Nemotron-4 15B if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if mathematics is the priority or you need the larger 128K context window.
Benchmark data for this category is coming soon.
DeepSeek V3
42
Nemotron-4 15B
46
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
Nemotron-4 15B
50.9
DeepSeek V3
69.6
Nemotron-4 15B
52
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
Nemotron-4 15B
53
Nemotron-4 15B is ahead overall, 27 to 25. The biggest single separator in this matchup is MMLU, where the scores are 88.5% and 54%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 52. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for coding in this comparison, averaging 46 versus 42. DeepSeek V3 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 53. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for reasoning in this comparison, averaging 50.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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