Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-1M is clearly ahead on the aggregate, 66 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen2.5-1M's sharpest advantage is in coding, where it averages 44.8 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 47 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.
Qwen2.5-1M gives you the larger context window at 1M, compared with 256K for Seed-2.0-Mini.
Pick Qwen2.5-1M if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if multimodal & grounded is the priority.
Qwen2.5-1M
64.7
Seed-2.0-Mini
46.2
Qwen2.5-1M
44.8
Seed-2.0-Mini
24.7
Qwen2.5-1M
68.4
Seed-2.0-Mini
73.1
Qwen2.5-1M
80.9
Seed-2.0-Mini
64.8
Qwen2.5-1M
60.4
Seed-2.0-Mini
44.6
Qwen2.5-1M
84
Seed-2.0-Mini
80
Qwen2.5-1M
80.4
Seed-2.0-Mini
71.8
Qwen2.5-1M
83.6
Seed-2.0-Mini
65.1
Qwen2.5-1M is ahead overall, 66 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 47 and 22.
Qwen2.5-1M has the edge for knowledge tasks in this comparison, averaging 60.4 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for coding in this comparison, averaging 44.8 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for math in this comparison, averaging 83.6 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for reasoning in this comparison, averaging 80.9 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for agentic tasks in this comparison, averaging 64.7 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 68.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for instruction following in this comparison, averaging 84 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen2.5-1M has the edge for multilingual tasks in this comparison, averaging 80.4 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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