Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 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.
Seed 1.6's sharpest advantage is in agentic, where it averages 62.3 against 55.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63 to 52. Seed-2.0-Lite does hit back in instruction following, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 is the reasoning model in the pair, while Seed-2.0-Lite 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.
Pick Seed 1.6 if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if instruction following is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6
62.3
Seed-2.0-Lite
55.1
Seed 1.6
42.4
Seed-2.0-Lite
41.4
Seed 1.6
79.6
Seed-2.0-Lite
79.6
Seed 1.6
74.5
Seed-2.0-Lite
73
Seed 1.6
56.4
Seed-2.0-Lite
53.9
Seed 1.6
87
Seed-2.0-Lite
89
Seed 1.6
83.4
Seed-2.0-Lite
82.5
Seed 1.6
75.9
Seed-2.0-Lite
75
Seed 1.6 is ahead overall, 65 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63 and 52.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 53.9. Inside this category, HLE 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 41.4. Inside this category, HumanEval 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 75. Inside this category, AIME 2023 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 73. Inside this category, MuSR 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 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 and Seed-2.0-Lite are effectively tied for multimodal and grounded tasks here, both landing at 79.6 on average.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 87. 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 82.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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