Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 has the cleaner overall profile here, landing at 65 versus 63. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Seed 1.6's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 68.3. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 66. o4-mini (high) does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 is the reasoning model in the pair, while o4-mini (high) 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 200K for o4-mini (high).
Pick Seed 1.6 if you want the stronger benchmark profile. o4-mini (high) only becomes the better choice if mathematics is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6
62.3
o4-mini (high)
58.5
Seed 1.6
42.4
o4-mini (high)
38.7
Seed 1.6
79.6
o4-mini (high)
68.3
Seed 1.6
74.5
o4-mini (high)
77.4
Seed 1.6
56.4
o4-mini (high)
61.2
Seed 1.6
87
o4-mini (high)
83
Seed 1.6
83.4
o4-mini (high)
81.7
Seed 1.6
75.9
o4-mini (high)
82.9
Seed 1.6 is ahead overall, 65 to 63. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 66.
o4-mini (high) has the edge for knowledge tasks in this comparison, averaging 61.2 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 38.7. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for math in this comparison, averaging 82.9 versus 75.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
o4-mini (high) has the edge for reasoning in this comparison, averaging 77.4 versus 74.5. Inside this category, SimpleQA 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 58.5. 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 68.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for instruction following in this comparison, averaging 87 versus 83. 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 81.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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