Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3.5 397B is clearly ahead on the aggregate, 62 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5 397B's sharpest advantage is in mathematics, where it averages 81.6 against 65.1. The single biggest benchmark swing on the page is SimpleQA, 80 to 59. 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.
Seed-2.0-Mini is also the more expensive model on tokens at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5 397B. That is roughly Infinityx on output cost alone. Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for Qwen3.5 397B.
Pick Qwen3.5 397B if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
Qwen3.5 397B
56.9
Seed-2.0-Mini
46.2
Qwen3.5 397B
40.7
Seed-2.0-Mini
24.7
Qwen3.5 397B
61.4
Seed-2.0-Mini
73.1
Qwen3.5 397B
75.9
Seed-2.0-Mini
64.8
Qwen3.5 397B
59.3
Seed-2.0-Mini
44.6
Qwen3.5 397B
82
Seed-2.0-Mini
80
Qwen3.5 397B
78.8
Seed-2.0-Mini
71.8
Qwen3.5 397B
81.6
Seed-2.0-Mini
65.1
Qwen3.5 397B is ahead overall, 62 to 53. The biggest single separator in this matchup is SimpleQA, where the scores are 80 and 59.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for coding in this comparison, averaging 40.7 versus 24.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for math in this comparison, averaging 81.6 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for reasoning in this comparison, averaging 75.9 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for agentic tasks in this comparison, averaging 56.9 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 61.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for instruction following in this comparison, averaging 82 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for multilingual tasks in this comparison, averaging 78.8 versus 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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