Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4.1 mini is clearly ahead on the aggregate, 58 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-4.1 mini's sharpest advantage is in knowledge, where it averages 62.4 against 44.6. The single biggest benchmark swing on the page is AIME 2024, 23.1 to 64. Seed-2.0-Mini does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 mini is also the more expensive model on tokens at $0.40 input / $1.60 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for Seed-2.0-Mini. That is roughly 4.0x on output cost alone. GPT-4.1 mini gives you the larger context window at 1M, compared with 256K for Seed-2.0-Mini.
Pick GPT-4.1 mini if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
GPT-4.1 mini
56.5
Seed-2.0-Mini
46.2
GPT-4.1 mini
28.8
Seed-2.0-Mini
24.7
GPT-4.1 mini
69.6
Seed-2.0-Mini
73.1
GPT-4.1 mini
80.9
Seed-2.0-Mini
64.8
GPT-4.1 mini
62.4
Seed-2.0-Mini
44.6
GPT-4.1 mini
88.5
Seed-2.0-Mini
80
GPT-4.1 mini
72
Seed-2.0-Mini
71.8
GPT-4.1 mini
23.1
Seed-2.0-Mini
65.1
GPT-4.1 mini is ahead overall, 58 to 53. The biggest single separator in this matchup is AIME 2024, where the scores are 23.1 and 64.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 62.4 versus 44.6. 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 28.8 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for math in this comparison, averaging 65.1 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 reasoning in this comparison, averaging 80.9 versus 64.8. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for agentic tasks in this comparison, averaging 56.5 versus 46.2. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 69.6. Inside this category, MMMU-Pro 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 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-4.1 mini has the edge for multilingual tasks in this comparison, averaging 72 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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