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 45. 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 multilingual, where it averages 83.4 against 52. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 48. o1-pro does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
o1-pro is also the more expensive model on tokens at $150.00 input / $600.00 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed 1.6. That is roughly 300.0x on output cost alone. Seed 1.6 gives you the larger context window at 256K, compared with 200K for o1-pro.
Pick Seed 1.6 if you want the stronger benchmark profile. o1-pro only becomes the better choice if knowledge is the priority.
Seed 1.6
62.3
o1-pro
39.7
Seed 1.6
42.4
o1-pro
23
Seed 1.6
79.6
o1-pro
48.5
Seed 1.6
74.5
o1-pro
56.2
Seed 1.6
56.4
o1-pro
69.9
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Seed 1.6
83.4
o1-pro
52
Seed 1.6
75.9
o1-pro
86
Seed 1.6 is ahead overall, 65 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 48.
o1-pro has the edge for knowledge tasks in this comparison, averaging 69.9 versus 56.4. Inside this category, GPQA 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 23. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o1-pro has the edge for math in this comparison, averaging 86 versus 75.9. Inside this category, AIME 2024 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 56.2. 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 39.7. Inside this category, OSWorld-Verified 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 48.5. Inside this category, MMMU-Pro 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 52. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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