Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 65. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
o3-mini's sharpest advantage is in knowledge, where it averages 70.8 against 56.4. The single biggest benchmark swing on the page is MMLU, 86.9 to 73. Seed 1.6 does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.25 input / $2.00 output per 1M tokens for Seed 1.6. That is roughly 2.2x on output cost alone. Seed 1.6 gives you the larger context window at 256K, compared with 200K for o3-mini.
Pick o3-mini if you want the stronger benchmark profile. Seed 1.6 only becomes the better choice if multilingual is the priority or you want the cheaper token bill.
o3-mini
66.6
Seed 1.6
62.3
o3-mini
55.6
Seed 1.6
42.4
o3-mini
74.4
Seed 1.6
79.6
o3-mini
81.1
Seed 1.6
74.5
o3-mini
70.8
Seed 1.6
56.4
o3-mini
93.9
Seed 1.6
87
o3-mini
73
Seed 1.6
83.4
o3-mini
87.3
Seed 1.6
75.9
o3-mini is ahead overall, 71 to 65. The biggest single separator in this matchup is MMLU, where the scores are 86.9 and 73.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 56.4. Inside this category, MMLU is the benchmark that creates the most daylight between them.
o3-mini has the edge for coding in this comparison, averaging 55.6 versus 42.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for math in this comparison, averaging 87.3 versus 75.9. Inside this category, AIME 2024 is the benchmark that creates the most daylight between them.
o3-mini has the edge for reasoning in this comparison, averaging 81.1 versus 74.5. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
o3-mini has the edge for agentic tasks in this comparison, averaging 66.6 versus 62.3. Inside this category, BrowseComp 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 74.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
o3-mini has the edge for instruction following in this comparison, averaging 93.9 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 73. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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