Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.2 finishes one point ahead overall, 64 to 63. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
DeepSeek V3.2's sharpest advantage is in mathematics, where it averages 82.1 against 75. The single biggest benchmark swing on the page is MMMU-Pro, 61 to 80. Seed-2.0-Lite does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for DeepSeek V3.2.
Pick DeepSeek V3.2 if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
DeepSeek V3.2
58.8
Seed-2.0-Lite
55.1
DeepSeek V3.2
43.2
Seed-2.0-Lite
41.4
DeepSeek V3.2
66
Seed-2.0-Lite
79.6
DeepSeek V3.2
75.3
Seed-2.0-Lite
73
DeepSeek V3.2
60
Seed-2.0-Lite
53.9
DeepSeek V3.2
85
Seed-2.0-Lite
89
DeepSeek V3.2
82.1
Seed-2.0-Lite
82.5
DeepSeek V3.2
82.1
Seed-2.0-Lite
75
DeepSeek V3.2 is ahead overall, 64 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 61 and 80.
DeepSeek V3.2 has the edge for knowledge tasks in this comparison, averaging 60 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for coding in this comparison, averaging 43.2 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for math in this comparison, averaging 82.1 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for reasoning in this comparison, averaging 75.3 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 has the edge for agentic tasks in this comparison, averaging 58.8 versus 55.1. Inside this category, Terminal-Bench 2.0 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 66. 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 85. 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 82.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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