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 52.6. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 49.
Seed 1.6 Flash is the reasoning model in the pair, while Moonshot v1 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 Moonshot v1.
Pick Seed 1.6 Flash if you want the stronger benchmark profile. Moonshot v1 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
Moonshot v1
42.2
Seed 1.6 Flash
27.6
Moonshot v1
26.4
Seed 1.6 Flash
73.1
Moonshot v1
52.6
Seed 1.6 Flash
66.8
Moonshot v1
55.5
Seed 1.6 Flash
47.3
Moonshot v1
42.3
Seed 1.6 Flash
81
Moonshot v1
77
Seed 1.6 Flash
72.8
Moonshot v1
69.8
Seed 1.6 Flash
67.1
Moonshot v1
61
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 49.
Seed 1.6 Flash has the edge for knowledge tasks in this comparison, averaging 47.3 versus 42.3. 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 26.4. 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. 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 55.5. 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 42.2. 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 52.6. 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 77. 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 69.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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