Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-72B is clearly ahead on the aggregate, 64 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen2.5-72B's sharpest advantage is in coding, where it averages 43.8 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 46 to 22. Seed-2.0-Mini 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-Mini 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-Mini 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-Mini
46.2
Qwen2.5-72B
43.8
Seed-2.0-Mini
24.7
Qwen2.5-72B
66.7
Seed-2.0-Mini
73.1
Qwen2.5-72B
75.8
Seed-2.0-Mini
64.8
Qwen2.5-72B
59.8
Seed-2.0-Mini
44.6
Qwen2.5-72B
85
Seed-2.0-Mini
80
Qwen2.5-72B
80.8
Seed-2.0-Mini
71.8
Qwen2.5-72B
83.5
Seed-2.0-Mini
65.1
Qwen2.5-72B is ahead overall, 64 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 46 and 22.
Qwen2.5-72B has the edge for knowledge tasks in this comparison, averaging 59.8 versus 44.6. 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 24.7. Inside this category, SWE-bench Verified 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 65.1. 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 64.8. 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 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 66.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for instruction following in this comparison, averaging 85 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen2.5-72B has the edge for multilingual tasks in this comparison, averaging 80.8 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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