Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Sibling matchup inside the Seed 1.6 family.
Seed 1.6 and Seed 1.6 Flash sit in the same Seed 1.6 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.
Seed 1.6 is clearly ahead on the aggregate, 65 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6's sharpest advantage is in coding, where it averages 42.4 against 27.6. The single biggest benchmark swing on the page is SWE-bench Verified, 46 to 24.
Seed 1.6 is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 6.7x on output cost alone.
Seed 1.6 makes more sense if coding is the priority, while Seed 1.6 Flash is the cleaner fit if you want the cheaper token bill.
Seed 1.6
62.3
Seed 1.6 Flash
54.5
Seed 1.6
42.4
Seed 1.6 Flash
27.6
Seed 1.6
79.6
Seed 1.6 Flash
73.1
Seed 1.6
74.5
Seed 1.6 Flash
66.8
Seed 1.6
56.4
Seed 1.6 Flash
47.3
Seed 1.6
87
Seed 1.6 Flash
81
Seed 1.6
83.4
Seed 1.6 Flash
72.8
Seed 1.6
75.9
Seed 1.6 Flash
67.1
Seed 1.6 and Seed 1.6 Flash are sibling variants in the Seed 1.6 family, so the right pick depends on whether you value the better benchmark line, cheaper tokens, or the larger context window. Seed 1.6 is ahead overall 65 to 56.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 47.3. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for coding in this comparison, averaging 42.4 versus 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for math in this comparison, averaging 75.9 versus 67.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for reasoning in this comparison, averaging 74.5 versus 66.8. Inside this category, BBH is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for agentic tasks in this comparison, averaging 62.3 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for instruction following in this comparison, averaging 87 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 72.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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