Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 Flash is clearly ahead on the aggregate, 56 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6 Flash's sharpest advantage is in reasoning, where it averages 66.8 against 43.2. The single biggest benchmark swing on the page is MRCRv2, 74 to 43.
Seed 1.6 Flash is the reasoning model in the pair, while Qwen2.5-VL-32B 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 32K for Qwen2.5-VL-32B.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Qwen2.5-VL-32B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6 Flash
54.5
Qwen2.5-VL-32B
33.5
Seed 1.6 Flash
27.6
Qwen2.5-VL-32B
14.3
Seed 1.6 Flash
73.1
Qwen2.5-VL-32B
52.2
Seed 1.6 Flash
66.8
Qwen2.5-VL-32B
43.2
Seed 1.6 Flash
47.3
Qwen2.5-VL-32B
34.7
Seed 1.6 Flash
81
Qwen2.5-VL-32B
67
Seed 1.6 Flash
72.8
Qwen2.5-VL-32B
60.4
Seed 1.6 Flash
67.1
Qwen2.5-VL-32B
49.7
Seed 1.6 Flash is ahead overall, 56 to 38. The biggest single separator in this matchup is MRCRv2, where the scores are 74 and 43.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 34.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for coding in this comparison, averaging 27.6 versus 14.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for math in this comparison, averaging 67.1 versus 49.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for reasoning in this comparison, averaging 66.8 versus 43.2. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 33.5. 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 52.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for instruction following in this comparison, averaging 81 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multilingual tasks in this comparison, averaging 72.8 versus 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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