Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
o3-mini is clearly ahead on the aggregate, 71 to 56. 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 coding, where it averages 55.6 against 27.6. The single biggest benchmark swing on the page is SWE-bench Pro, 57 to 31.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.08 input / $0.30 output per 1M tokens for Seed 1.6 Flash. That is roughly 14.7x on output cost alone. Seed 1.6 Flash 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 Flash only becomes the better choice if you want the cheaper token bill or you need the larger 256K context window.
o3-mini
66.6
Seed 1.6 Flash
54.5
o3-mini
55.6
Seed 1.6 Flash
27.6
o3-mini
74.4
Seed 1.6 Flash
73.1
o3-mini
81.1
Seed 1.6 Flash
66.8
o3-mini
70.8
Seed 1.6 Flash
47.3
o3-mini
93.9
Seed 1.6 Flash
81
o3-mini
73
Seed 1.6 Flash
72.8
o3-mini
87.3
Seed 1.6 Flash
67.1
o3-mini is ahead overall, 71 to 56. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 57 and 31.
o3-mini has the edge for knowledge tasks in this comparison, averaging 70.8 versus 47.3. 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 27.6. 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 67.1. 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 66.8. 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 54.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
o3-mini has the edge for multimodal and grounded tasks in this comparison, averaging 74.4 versus 73.1. Inside this category, OfficeQA 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 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
o3-mini has the edge for multilingual tasks in this comparison, averaging 73 versus 72.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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