Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-4.1 mini has the cleaner overall profile here, landing at 58 versus 56. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
GPT-4.1 mini's sharpest advantage is in knowledge, where it averages 62.4 against 47.3. The single biggest benchmark swing on the page is AIME 2024, 23.1 to 66. Seed 1.6 Flash 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 $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 5.3x on output cost alone. Seed 1.6 Flash 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 256K for Seed 1.6 Flash.
Pick GPT-4.1 mini if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if mathematics is the priority or you want the cheaper token bill.
GPT-4.1 mini
56.5
Seed 1.6 Flash
54.5
GPT-4.1 mini
28.8
Seed 1.6 Flash
27.6
GPT-4.1 mini
69.6
Seed 1.6 Flash
73.1
GPT-4.1 mini
80.9
Seed 1.6 Flash
66.8
GPT-4.1 mini
62.4
Seed 1.6 Flash
47.3
GPT-4.1 mini
88.5
Seed 1.6 Flash
81
GPT-4.1 mini
72
Seed 1.6 Flash
72.8
GPT-4.1 mini
23.1
Seed 1.6 Flash
67.1
GPT-4.1 mini is ahead overall, 58 to 56. The biggest single separator in this matchup is AIME 2024, where the scores are 23.1 and 66.
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 62.4 versus 47.3. 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 27.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for math in this comparison, averaging 67.1 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 66.8. 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 54.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Seed 1.6 Flash 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 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multilingual tasks in this comparison, averaging 72.8 versus 72. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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