Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.1 (Reasoning) is clearly ahead on the aggregate, 32 to 25. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.1 (Reasoning)'s sharpest advantage is in reasoning, where it averages 58.2 against 24.9. The single biggest benchmark swing on the page is SimpleQA, 24.9% to 93.4%. DeepSeek V3 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
DeepSeek V3.1 (Reasoning) 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 V3.1 (Reasoning) if you want the stronger benchmark profile. DeepSeek V3 only becomes the better choice if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
DeepSeek V3
42
DeepSeek V3.1 (Reasoning)
26
Benchmark data for this category is coming soon.
DeepSeek V3
24.9
DeepSeek V3.1 (Reasoning)
58.2
DeepSeek V3
69.6
DeepSeek V3.1 (Reasoning)
68.8
Benchmark data for this category is coming soon.
Benchmark data for this category is coming soon.
DeepSeek V3
90.2
DeepSeek V3.1 (Reasoning)
33
DeepSeek V3.1 (Reasoning) is ahead overall, 32 to 25. The biggest single separator in this matchup is SimpleQA, where the scores are 24.9% and 93.4%.
DeepSeek V3 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 68.8. 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 26. DeepSeek V3.1 (Reasoning) 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 33. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for reasoning in this comparison, averaging 58.2 versus 24.9. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.