Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Lite is clearly ahead on the aggregate, 63 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Lite's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 66. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 61. Aion-2.0 does hit back in instruction following, 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 $0.80 input / $1.60 output per 1M tokens for Aion-2.0. Seed-2.0-Lite gives you the larger context window at 256K, compared with 128K for Aion-2.0.
Pick Seed-2.0-Lite if you want the stronger benchmark profile. Aion-2.0 only becomes the better choice if instruction following is the priority or you want the cheaper token bill.
Seed-2.0-Lite
55.1
Aion-2.0
51.7
Seed-2.0-Lite
41.4
Aion-2.0
33.2
Seed-2.0-Lite
79.6
Aion-2.0
66
Seed-2.0-Lite
73
Aion-2.0
70.3
Seed-2.0-Lite
53.9
Aion-2.0
54
Seed-2.0-Lite
89
Aion-2.0
93
Seed-2.0-Lite
82.5
Aion-2.0
78.1
Seed-2.0-Lite
75
Aion-2.0
72.1
Seed-2.0-Lite is ahead overall, 63 to 58. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 61.
Aion-2.0 has the edge for knowledge tasks in this comparison, averaging 54 versus 53.9. Inside this category, OpenBookQA is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for coding in this comparison, averaging 41.4 versus 33.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for math in this comparison, averaging 75 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for reasoning in this comparison, averaging 73 versus 70.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Seed-2.0-Lite has the edge for agentic tasks in this comparison, averaging 55.1 versus 51.7. 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. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Aion-2.0 has the edge for instruction following in this comparison, averaging 93 versus 89. 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 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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