Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek-R1 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.
DeepSeek-R1's sharpest advantage is in coding, where it averages 65.9 against 42. The single biggest benchmark swing on the page is AIME 2024, 79.8% to 39.2%. DeepSeek V3 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
DeepSeek-R1 is also the more expensive model on tokens at $0.55 input / $2.19 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek V3. DeepSeek-R1 is the reasoning model in the pair, while DeepSeek V3 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick DeepSeek-R1 if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
Benchmark data for this category is coming soon.
DeepSeek-R1
65.9
DeepSeek V3
42
Benchmark data for this category is coming soon.
DeepSeek-R1
35.6
DeepSeek V3
24.9
DeepSeek-R1
68.9
DeepSeek V3
69.6
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-R1
78.3
DeepSeek V3
90.2
DeepSeek-R1 is ahead overall, 36 to 25. The biggest single separator in this matchup is AIME 2024, where the scores are 79.8% and 39.2%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 68.9. Inside this category, GPQA is the benchmark that creates the most daylight between them.
DeepSeek-R1 has the edge for coding in this comparison, averaging 65.9 versus 42. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V3 has the edge for math in this comparison, averaging 90.2 versus 78.3. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
DeepSeek-R1 has the edge for reasoning in this comparison, averaging 35.6 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
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