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 43. 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 56.8. The single biggest benchmark swing on the page is HumanEval, 59 to 38.
Seed 1.6 Flash is also the more expensive model on tokens at $0.08 input / $0.30 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick. That is roughly Infinityx on output cost alone. Seed 1.6 Flash is the reasoning model in the pair, while Llama 4 Maverick 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. Llama 4 Maverick gives you the larger context window at 1M, compared with 256K for Seed 1.6 Flash.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you want the cheaper token bill or you need the larger 1M context window.
Seed 1.6 Flash
54.5
Llama 4 Maverick
40.9
Seed 1.6 Flash
27.6
Llama 4 Maverick
15.7
Seed 1.6 Flash
73.1
Llama 4 Maverick
56.8
Seed 1.6 Flash
66.8
Llama 4 Maverick
54
Seed 1.6 Flash
47.3
Llama 4 Maverick
36.5
Seed 1.6 Flash
81
Llama 4 Maverick
68
Seed 1.6 Flash
72.8
Llama 4 Maverick
59.8
Seed 1.6 Flash
67.1
Llama 4 Maverick
51.3
Seed 1.6 Flash is ahead overall, 56 to 43. The biggest single separator in this matchup is HumanEval, where the scores are 59 and 38.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 36.5. 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 15.7. 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 51.3. 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, SimpleQA 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 40.9. 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 56.8. Inside this category, OfficeQA 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 68. 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 59.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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