Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4.1 has the cleaner overall profile here, landing at 65 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-4.1's sharpest advantage is in coding, where it averages 51.7 against 41.4. The single biggest benchmark swing on the page is AIME 2024, 26.4 to 73. Seed-2.0-Lite does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
GPT-4.1 is also the more expensive model on tokens at $2.00 input / $8.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed-2.0-Lite. That is roughly 4.0x on output cost alone. GPT-4.1 gives you the larger context window at 1M, compared with 256K for Seed-2.0-Lite.
Pick GPT-4.1 if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
GPT-4.1
64.7
Seed-2.0-Lite
55.1
GPT-4.1
51.7
Seed-2.0-Lite
41.4
GPT-4.1
73.6
Seed-2.0-Lite
79.6
GPT-4.1
80.9
Seed-2.0-Lite
73
GPT-4.1
63.3
Seed-2.0-Lite
53.9
GPT-4.1
87.4
Seed-2.0-Lite
89
GPT-4.1
69
Seed-2.0-Lite
82.5
GPT-4.1
26.4
Seed-2.0-Lite
75
GPT-4.1 is ahead overall, 65 to 63. The biggest single separator in this matchup is AIME 2024, where the scores are 26.4 and 73.
GPT-4.1 has the edge for knowledge tasks in this comparison, averaging 63.3 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for coding in this comparison, averaging 51.7 versus 41.4. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for math in this comparison, averaging 75 versus 26.4. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for reasoning in this comparison, averaging 80.9 versus 73. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
GPT-4.1 has the edge for agentic tasks in this comparison, averaging 64.7 versus 55.1. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 73.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 87.4. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 69. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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