Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-72B 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.
Qwen2.5-72B's sharpest advantage is in mathematics, where it averages 83.5 against 75. The single biggest benchmark swing on the page is MMMU-Pro, 64 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 Qwen2.5-72B.
Pick Qwen2.5-72B 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.
Qwen2.5-72B
57.7
Seed-2.0-Lite
55.1
Qwen2.5-72B
43.8
Seed-2.0-Lite
41.4
Qwen2.5-72B
66.7
Seed-2.0-Lite
79.6
Qwen2.5-72B
75.8
Seed-2.0-Lite
73
Qwen2.5-72B
59.8
Seed-2.0-Lite
53.9
Qwen2.5-72B
85
Seed-2.0-Lite
89
Qwen2.5-72B
80.8
Seed-2.0-Lite
82.5
Qwen2.5-72B
83.5
Seed-2.0-Lite
75
Qwen2.5-72B is ahead overall, 64 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 64 and 80.
Qwen2.5-72B has the edge for knowledge tasks in this comparison, averaging 59.8 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for coding in this comparison, averaging 43.8 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for math in this comparison, averaging 83.5 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for reasoning in this comparison, averaging 75.8 versus 73. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for agentic tasks in this comparison, averaging 57.7 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 66.7. 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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