Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini is clearly ahead on the aggregate, 53 to 38. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Mini's sharpest advantage is in reasoning, where it averages 64.8 against 43.2. The single biggest benchmark swing on the page is MRCRv2, 72 to 43.
Seed-2.0-Mini gives you the larger context window at 256K, compared with 32K for Qwen2.5-VL-32B.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. Qwen2.5-VL-32B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Mini
46.2
Qwen2.5-VL-32B
33.5
Seed-2.0-Mini
24.7
Qwen2.5-VL-32B
14.3
Seed-2.0-Mini
73.1
Qwen2.5-VL-32B
52.2
Seed-2.0-Mini
64.8
Qwen2.5-VL-32B
43.2
Seed-2.0-Mini
44.6
Qwen2.5-VL-32B
34.7
Seed-2.0-Mini
80
Qwen2.5-VL-32B
67
Seed-2.0-Mini
71.8
Qwen2.5-VL-32B
60.4
Seed-2.0-Mini
65.1
Qwen2.5-VL-32B
49.7
Seed-2.0-Mini is ahead overall, 53 to 38. The biggest single separator in this matchup is MRCRv2, where the scores are 72 and 43.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 34.7. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for coding in this comparison, averaging 24.7 versus 14.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for math in this comparison, averaging 65.1 versus 49.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for reasoning in this comparison, averaging 64.8 versus 43.2. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for agentic tasks in this comparison, averaging 46.2 versus 33.5. 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 52.2. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for instruction following in this comparison, averaging 80 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 versus 60.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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