Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o1 is clearly ahead on the aggregate, 68 to 56. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o1's sharpest advantage is in knowledge, where it averages 69.6 against 47.3. The single biggest benchmark swing on the page is MMLU, 91.8 to 65. Seed 1.6 Flash does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 200.0x on output cost alone. Seed 1.6 Flash gives you the larger context window at 256K, compared with 200K for o1.
Pick o1 if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
o1
65.4
Seed 1.6 Flash
54.5
o1
48.4
Seed 1.6 Flash
27.6
o1
70.7
Seed 1.6 Flash
73.1
o1
78.1
Seed 1.6 Flash
66.8
o1
69.6
Seed 1.6 Flash
47.3
o1
92.2
Seed 1.6 Flash
81
o1
77
Seed 1.6 Flash
72.8
o1
74.3
Seed 1.6 Flash
67.1
o1 is ahead overall, 68 to 56. The biggest single separator in this matchup is MMLU, where the scores are 91.8 and 65.
o1 has the edge for knowledge tasks in this comparison, averaging 69.6 versus 47.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o1 has the edge for coding in this comparison, averaging 48.4 versus 27.6. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o1 has the edge for math in this comparison, averaging 74.3 versus 67.1. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o1 has the edge for reasoning in this comparison, averaging 78.1 versus 66.8. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o1 has the edge for agentic tasks in this comparison, averaging 65.4 versus 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multimodal and grounded tasks in this comparison, averaging 73.1 versus 70.7. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o1 has the edge for instruction following in this comparison, averaging 92.2 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o1 has the edge for multilingual tasks in this comparison, averaging 77 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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