Side-by-side benchmark comparison across knowledge, coding, math, and reasoning.
DeepSeek V3.1 and GPT-4.1 mini finish on the same overall score, so this is less about a single winner and more about where the edge shows up. The headline says tie; the benchmark table is where the real choice happens.
GPT-4.1 mini gives you the larger context window at 1M, compared with 128K for DeepSeek V3.1.
Treat this as a split decision. DeepSeek V3.1 makes more sense if mathematics is the priority; GPT-4.1 mini is the better fit if knowledge is the priority or you need the larger 1M context window.
DeepSeek V3.1
29.7
GPT-4.1 mini
75.9
DeepSeek V3.1
17.7
GPT-4.1 mini
23.6
DeepSeek V3.1
35.4
GPT-4.1 mini
23.1
DeepSeek V3.1
67
GPT-4.1 mini
88.5
DeepSeek V3.1 and GPT-4.1 mini are tied on overall score, so the right pick depends on which category matters most for your use case.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 75.9 versus 29.7. 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 17.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
DeepSeek V3.1 has the edge for math in this comparison, averaging 35.4 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 67. Inside this category, IFEval 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.