Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek V3.2 (Thinking) is clearly ahead on the aggregate, 70 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V3.2 (Thinking)'s sharpest advantage is in agentic, where it averages 69.4 against 55.1. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 71 to 52. 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.
DeepSeek V3.2 (Thinking) 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. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for DeepSeek V3.2 (Thinking).
Pick DeepSeek V3.2 (Thinking) 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 (Thinking)
69.4
Seed-2.0-Lite
55.1
DeepSeek V3.2 (Thinking)
51.2
Seed-2.0-Lite
41.4
DeepSeek V3.2 (Thinking)
71
Seed-2.0-Lite
79.6
DeepSeek V3.2 (Thinking)
80.6
Seed-2.0-Lite
73
DeepSeek V3.2 (Thinking)
64.4
Seed-2.0-Lite
53.9
DeepSeek V3.2 (Thinking)
85
Seed-2.0-Lite
89
DeepSeek V3.2 (Thinking)
80.8
Seed-2.0-Lite
82.5
DeepSeek V3.2 (Thinking)
85.1
Seed-2.0-Lite
75
DeepSeek V3.2 (Thinking) is ahead overall, 70 to 63. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 71 and 52.
DeepSeek V3.2 (Thinking) has the edge for knowledge tasks in this comparison, averaging 64.4 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for coding in this comparison, averaging 51.2 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for math in this comparison, averaging 85.1 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for reasoning in this comparison, averaging 80.6 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek V3.2 (Thinking) has the edge for agentic tasks in this comparison, averaging 69.4 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 71. 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 80.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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