Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-72B is clearly ahead on the aggregate, 36 to 25. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen2.5-72B's sharpest advantage is in reasoning, where it averages 78.9 against 24.9. The single biggest benchmark swing on the page is SimpleQA, 24.9% to 80%. DeepSeek V3 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
Pick Qwen2.5-72B if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if mathematics is the priority.
Benchmark data for this category is coming soon.
DeepSeek V3
42
Qwen2.5-72B
35.7
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
Qwen2.5-72B
78.9
DeepSeek V3
69.6
Qwen2.5-72B
62.7
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.
DeepSeek V3
90.2
Qwen2.5-72B
83
Qwen2.5-72B is ahead overall, 36 to 25. The biggest single separator in this matchup is SimpleQA, where the scores are 24.9% and 80%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 62.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for coding in this comparison, averaging 42 versus 35.7. Qwen2.5-72B 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 83. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for reasoning in this comparison, averaging 78.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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