Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 3.1 405B has the cleaner overall profile here, landing at 59 versus 56. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Llama 3.1 405B's sharpest advantage is in coding, where it averages 40.6 against 27.6. The single biggest benchmark swing on the page is SWE-bench Verified, 46 to 24. Seed 1.6 Flash does hit back in multimodal & grounded, 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 Llama 3.1 405B 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 Llama 3.1 405B.
Pick Llama 3.1 405B if you want the stronger benchmark profile. Seed 1.6 Flash only becomes the better choice if multimodal & grounded is the priority or you need the larger 256K context window.
Llama 3.1 405B
53.9
Seed 1.6 Flash
54.5
Llama 3.1 405B
40.6
Seed 1.6 Flash
27.6
Llama 3.1 405B
62.3
Seed 1.6 Flash
73.1
Llama 3.1 405B
68.3
Seed 1.6 Flash
66.8
Llama 3.1 405B
53.2
Seed 1.6 Flash
47.3
Llama 3.1 405B
86
Seed 1.6 Flash
81
Llama 3.1 405B
80.1
Seed 1.6 Flash
72.8
Llama 3.1 405B
74.9
Seed 1.6 Flash
67.1
Llama 3.1 405B is ahead overall, 59 to 56. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 46 and 24.
Llama 3.1 405B has the edge for knowledge tasks in this comparison, averaging 53.2 versus 47.3. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for coding in this comparison, averaging 40.6 versus 27.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for math in this comparison, averaging 74.9 versus 67.1. Inside this category, MATH-500 is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for reasoning in this comparison, averaging 68.3 versus 66.8. 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 53.9. 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 62.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for instruction following in this comparison, averaging 86 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3.1 405B has the edge for multilingual tasks in this comparison, averaging 80.1 versus 72.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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