Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Step 3.5 Flash 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.
Step 3.5 Flash's sharpest advantage is in mathematics, where it averages 84.5 against 75. The single biggest benchmark swing on the page is MMMU-Pro, 64 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.
Seed-2.0-Lite is also the more expensive model on tokens at $0.25 input / $2.00 output per 1M tokens, versus $0.10 input / $0.30 output per 1M tokens for Step 3.5 Flash. That is roughly 6.7x on output cost alone.
Pick Step 3.5 Flash if you want the stronger benchmark profile. Seed-2.0-Lite only becomes the better choice if multimodal & grounded is the priority.
Step 3.5 Flash
60.2
Seed-2.0-Lite
55.1
Step 3.5 Flash
47.1
Seed-2.0-Lite
41.4
Step 3.5 Flash
66.7
Seed-2.0-Lite
79.6
Step 3.5 Flash
78.3
Seed-2.0-Lite
73
Step 3.5 Flash
60.8
Seed-2.0-Lite
53.9
Step 3.5 Flash
87
Seed-2.0-Lite
89
Step 3.5 Flash
82.8
Seed-2.0-Lite
82.5
Step 3.5 Flash
84.5
Seed-2.0-Lite
75
Step 3.5 Flash is ahead overall, 66 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 64 and 80.
Step 3.5 Flash has the edge for knowledge tasks in this comparison, averaging 60.8 versus 53.9. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for coding in this comparison, averaging 47.1 versus 41.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for math in this comparison, averaging 84.5 versus 75. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for reasoning in this comparison, averaging 78.3 versus 73. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for agentic tasks in this comparison, averaging 60.2 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 66.7. 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 87. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Step 3.5 Flash has the edge for multilingual tasks in this comparison, averaging 82.8 versus 82.5. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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