Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek V3.1 (Reasoning) has the cleaner overall profile here, landing at 37 versus 35. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek V3.1 (Reasoning)'s sharpest advantage is in mathematics, where it averages 36.6 against 23.1. The single biggest benchmark swing on the page is MMLU, 34 to 87.5. GPT-4.1 mini does hit back in knowledge, 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 GPT-4.1 mini 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. GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for DeepSeek V3.1 (Reasoning).
Pick DeepSeek V3.1 (Reasoning) if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you need the larger 1M context window.
DeepSeek V3.1 (Reasoning)
31.7
GPT-4.1 mini
75.9
DeepSeek V3.1 (Reasoning)
18.7
GPT-4.1 mini
23.6
DeepSeek V3.1 (Reasoning)
36.6
GPT-4.1 mini
23.1
DeepSeek V3.1 (Reasoning)
70
GPT-4.1 mini
88.5
DeepSeek V3.1 (Reasoning) is ahead overall, 37 to 35. The biggest single separator in this matchup is MMLU, where the scores are 34 and 87.5.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 31.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for coding in this comparison, averaging 23.6 versus 18.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V3.1 (Reasoning) has the edge for math in this comparison, averaging 36.6 versus 23.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for instruction following in this comparison, averaging 88.5 versus 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
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