Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini is clearly ahead on the aggregate, 53 to 49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Mini's sharpest advantage is in mathematics, where it averages 65.1 against 9.8. The single biggest benchmark swing on the page is AIME 2024, 64 to 9.8. GPT-4.1 nano does hit back in reasoning, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 nano gives you the larger context window at 1M, compared with 256K for Seed-2.0-Mini.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if reasoning is the priority or you need the larger 1M context window.
Seed-2.0-Mini
46.2
GPT-4.1 nano
47.4
Seed-2.0-Mini
24.7
GPT-4.1 nano
18
Seed-2.0-Mini
73.1
GPT-4.1 nano
59.3
Seed-2.0-Mini
64.8
GPT-4.1 nano
74.1
Seed-2.0-Mini
44.6
GPT-4.1 nano
50.7
Seed-2.0-Mini
80
GPT-4.1 nano
83.2
Seed-2.0-Mini
71.8
GPT-4.1 nano
59
Seed-2.0-Mini
65.1
GPT-4.1 nano
9.8
Seed-2.0-Mini is ahead overall, 53 to 49. The biggest single separator in this matchup is AIME 2024, where the scores are 64 and 9.8.
GPT-4.1 nano has the edge for knowledge tasks in this comparison, averaging 50.7 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for coding in this comparison, averaging 24.7 versus 18. Inside this category, SWE-bench Pro 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 9.8. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for reasoning in this comparison, averaging 74.1 versus 64.8. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for agentic tasks in this comparison, averaging 47.4 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 59.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-4.1 nano has the edge for instruction following in this comparison, averaging 83.2 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 59. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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