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 56. 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 mathematics, where it averages 83.5 against 67.1. The single biggest benchmark swing on the page is SWE-bench Verified, 46 to 24. Seed 1.6 Flash does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 Flash is the reasoning model in the pair, while Qwen2.5-72B 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 1.6 Flash 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 1.6 Flash 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 1.6 Flash
54.5
Qwen2.5-72B
43.8
Seed 1.6 Flash
27.6
Qwen2.5-72B
66.7
Seed 1.6 Flash
73.1
Qwen2.5-72B
75.8
Seed 1.6 Flash
66.8
Qwen2.5-72B
59.8
Seed 1.6 Flash
47.3
Qwen2.5-72B
85
Seed 1.6 Flash
81
Qwen2.5-72B
80.8
Seed 1.6 Flash
72.8
Qwen2.5-72B
83.5
Seed 1.6 Flash
67.1
Qwen2.5-72B is ahead overall, 64 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 46 and 24.
Qwen2.5-72B has the edge for knowledge tasks in this comparison, averaging 59.8 versus 47.3. 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 27.6. 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 67.1. 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 66.8. 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 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash 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 81. 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 72.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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