Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 Flash is clearly ahead on the aggregate, 56 to 48. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6 Flash's sharpest advantage is in multimodal & grounded, where it averages 73.1 against 48.8. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 42. GPT-OSS 120B does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Seed 1.6 Flash is the reasoning model in the pair, while GPT-OSS 120B 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 Flash gives you the larger context window at 256K, compared with 128K for GPT-OSS 120B.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. GPT-OSS 120B only becomes the better choice if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6 Flash
54.5
GPT-OSS 120B
44.8
Seed 1.6 Flash
27.6
GPT-OSS 120B
28.1
Seed 1.6 Flash
73.1
GPT-OSS 120B
48.8
Seed 1.6 Flash
66.8
GPT-OSS 120B
55.2
Seed 1.6 Flash
47.3
GPT-OSS 120B
41.5
Seed 1.6 Flash
81
GPT-OSS 120B
79
Seed 1.6 Flash
72.8
GPT-OSS 120B
70.7
Seed 1.6 Flash
67.1
GPT-OSS 120B
59.5
Seed 1.6 Flash is ahead overall, 56 to 48. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 42.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 41.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-OSS 120B has the edge for coding in this comparison, averaging 28.1 versus 27.6. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for math in this comparison, averaging 67.1 versus 59.5. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for reasoning in this comparison, averaging 66.8 versus 55.2. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for agentic tasks in this comparison, averaging 54.5 versus 44.8. Inside this category, BrowseComp 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 48.8. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for instruction following in this comparison, averaging 81 versus 79. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for multilingual tasks in this comparison, averaging 72.8 versus 70.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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