Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 is clearly ahead on the aggregate, 65 to 58. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6'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 1.6 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 1.6 is the reasoning model in the pair, while Aion-2.0 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Seed 1.6 gives you the larger context window at 256K, compared with 128K for Aion-2.0.
Pick Seed 1.6 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 1.6
62.3
Aion-2.0
51.7
Seed 1.6
42.4
Aion-2.0
33.2
Seed 1.6
79.6
Aion-2.0
66
Seed 1.6
74.5
Aion-2.0
70.3
Seed 1.6
56.4
Aion-2.0
54
Seed 1.6
87
Aion-2.0
93
Seed 1.6
83.4
Aion-2.0
78.1
Seed 1.6
75.9
Aion-2.0
72.1
Seed 1.6 is ahead overall, 65 to 58. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 61.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 54. Inside this category, MMLU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for coding in this comparison, averaging 42.4 versus 33.2. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for math in this comparison, averaging 75.9 versus 72.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for reasoning in this comparison, averaging 74.5 versus 70.3. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for agentic tasks in this comparison, averaging 62.3 versus 51.7. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 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 87. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 78.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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