Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-1M has the cleaner overall profile here, landing at 66 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen2.5-1M's sharpest advantage is in agentic, where it averages 64.7 against 55.1. The single biggest benchmark swing on the page is MMMU-Pro, 63 to 80. Seed-2.0-Lite 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-Lite.
Pick Qwen2.5-1M if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if multimodal & grounded is the priority.
Qwen2.5-1M
64.7
Seed-2.0-Lite
55.1
Qwen2.5-1M
44.8
Seed-2.0-Lite
41.4
Qwen2.5-1M
68.4
Seed-2.0-Lite
79.6
Qwen2.5-1M
80.9
Seed-2.0-Lite
73
Qwen2.5-1M
60.4
Seed-2.0-Lite
53.9
Qwen2.5-1M
84
Seed-2.0-Lite
89
Qwen2.5-1M
80.4
Seed-2.0-Lite
82.5
Qwen2.5-1M
83.6
Seed-2.0-Lite
75
Qwen2.5-1M is ahead overall, 66 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 63 and 80.
Qwen2.5-1M has the edge for knowledge tasks in this comparison, averaging 60.4 versus 53.9. 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 41.4. Inside this category, HumanEval 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 75. 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 73. 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 55.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 68.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for instruction following in this comparison, averaging 89 versus 84. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for multilingual tasks in this comparison, averaging 82.5 versus 80.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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