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 45. 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 45.2. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 38.
Seed 1.6 Flash is the reasoning model in the pair, while Nemotron 3 Nano 30B 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 32K for Nemotron 3 Nano 30B.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Nemotron 3 Nano 30B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Seed 1.6 Flash
54.5
Nemotron 3 Nano 30B
39.6
Seed 1.6 Flash
27.6
Nemotron 3 Nano 30B
22
Seed 1.6 Flash
73.1
Nemotron 3 Nano 30B
45.2
Seed 1.6 Flash
66.8
Nemotron 3 Nano 30B
54
Seed 1.6 Flash
47.3
Nemotron 3 Nano 30B
43.8
Seed 1.6 Flash
81
Nemotron 3 Nano 30B
78
Seed 1.6 Flash
72.8
Nemotron 3 Nano 30B
71.8
Seed 1.6 Flash
67.1
Nemotron 3 Nano 30B
63.7
Seed 1.6 Flash is ahead overall, 56 to 45. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 38.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 43.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 Flash has the edge for coding in this comparison, averaging 27.6 versus 22. 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 63.7. 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 54. 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 39.6. 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 45.2. 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 78. 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 71.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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