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 47. 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 49.6. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 46.
Seed 1.6 Flash is the reasoning model in the pair, while Nemotron-4 15B 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-4 15B.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Nemotron-4 15B 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-4 15B
41.3
Seed 1.6 Flash
27.6
Nemotron-4 15B
26.5
Seed 1.6 Flash
73.1
Nemotron-4 15B
49.6
Seed 1.6 Flash
66.8
Nemotron-4 15B
53.4
Seed 1.6 Flash
47.3
Nemotron-4 15B
42.6
Seed 1.6 Flash
81
Nemotron-4 15B
79
Seed 1.6 Flash
72.8
Nemotron-4 15B
72.4
Seed 1.6 Flash
67.1
Nemotron-4 15B
61.1
Seed 1.6 Flash is ahead overall, 56 to 47. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 46.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 42.6. 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 26.5. 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 61.1. 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 53.4. 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 41.3. Inside this category, Terminal-Bench 2.0 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 49.6. 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 72.4. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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