Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed 1.6 is clearly ahead on the aggregate, 65 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed 1.6's sharpest advantage is in multimodal & grounded, where it averages 79.6 against 52.6. The single biggest benchmark swing on the page is MMMU-Pro, 80 to 49.
Seed 1.6 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 gives you the larger context window at 256K, compared with 128K for Moonshot v1.
Pick Seed 1.6 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
62.3
Moonshot v1
42.2
Seed 1.6
42.4
Moonshot v1
26.4
Seed 1.6
79.6
Moonshot v1
52.6
Seed 1.6
74.5
Moonshot v1
55.5
Seed 1.6
56.4
Moonshot v1
42.3
Seed 1.6
87
Moonshot v1
77
Seed 1.6
83.4
Moonshot v1
69.8
Seed 1.6
75.9
Moonshot v1
61
Seed 1.6 is ahead overall, 65 to 47. The biggest single separator in this matchup is MMMU-Pro, where the scores are 80 and 49.
Seed 1.6 has the edge for knowledge tasks in this comparison, averaging 56.4 versus 42.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for coding in this comparison, averaging 42.4 versus 26.4. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for math in this comparison, averaging 75.9 versus 61. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for reasoning in this comparison, averaging 74.5 versus 55.5. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for agentic tasks in this comparison, averaging 62.3 versus 42.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.6 versus 52.6. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for instruction following in this comparison, averaging 87 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed 1.6 has the edge for multilingual tasks in this comparison, averaging 83.4 versus 69.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.