Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
DeepSeek Coder 2.0 has the cleaner overall profile here, landing at 66 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
DeepSeek Coder 2.0's sharpest advantage is in agentic, where it averages 67.5 against 55.1. The single biggest benchmark swing on the page is MMMU-Pro, 50 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 is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.27 input / $1.10 output per 1M tokens for DeepSeek Coder 2.0. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for DeepSeek Coder 2.0.
Pick DeepSeek Coder 2.0 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 Coder 2.0
67.5
Seed-2.0-Lite
55.1
DeepSeek Coder 2.0
52.8
Seed-2.0-Lite
41.4
DeepSeek Coder 2.0
58.6
Seed-2.0-Lite
79.6
DeepSeek Coder 2.0
75.5
Seed-2.0-Lite
73
DeepSeek Coder 2.0
59.6
Seed-2.0-Lite
53.9
DeepSeek Coder 2.0
86
Seed-2.0-Lite
89
DeepSeek Coder 2.0
79.8
Seed-2.0-Lite
82.5
DeepSeek Coder 2.0
80.5
Seed-2.0-Lite
75
DeepSeek Coder 2.0 is ahead overall, 66 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 50 and 80.
DeepSeek Coder 2.0 has the edge for knowledge tasks in this comparison, averaging 59.6 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for coding in this comparison, averaging 52.8 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for math in this comparison, averaging 80.5 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for reasoning in this comparison, averaging 75.5 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
DeepSeek Coder 2.0 has the edge for agentic tasks in this comparison, averaging 67.5 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 58.6. 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 86. 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 79.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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