Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 1.0 Pro is clearly ahead on the aggregate, 31 to 25. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 1.0 Pro's sharpest advantage is in reasoning, where it averages 58.9 against 24.9. The single biggest benchmark swing on the page is SimpleQA, 24.9% to 60%. 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 Gemini 1.0 Pro.
Pick Gemini 1.0 Pro 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
Gemini 1.0 Pro
54
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
Gemini 1.0 Pro
58.9
DeepSeek V3
69.6
Gemini 1.0 Pro
61
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
Gemini 1.0 Pro
61
Gemini 1.0 Pro is ahead overall, 31 to 25. The biggest single separator in this matchup is SimpleQA, where the scores are 24.9% and 60%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 61. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for coding in this comparison, averaging 54 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 61. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for reasoning in this comparison, averaging 58.9 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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