Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Seed-2.0-Mini is clearly ahead on the aggregate, 53 to 47. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Seed-2.0-Mini'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. Moonshot v1 does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for Moonshot v1.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. Moonshot v1 only becomes the better choice if coding is the priority.
Seed-2.0-Mini
46.2
Moonshot v1
42.2
Seed-2.0-Mini
24.7
Moonshot v1
26.4
Seed-2.0-Mini
73.1
Moonshot v1
52.6
Seed-2.0-Mini
64.8
Moonshot v1
55.5
Seed-2.0-Mini
44.6
Moonshot v1
42.3
Seed-2.0-Mini
80
Moonshot v1
77
Seed-2.0-Mini
71.8
Moonshot v1
69.8
Seed-2.0-Mini
65.1
Moonshot v1
61
Seed-2.0-Mini is ahead overall, 53 to 47. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 49.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 42.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Moonshot v1 has the edge for coding in this comparison, averaging 26.4 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for math in this comparison, averaging 65.1 versus 61. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for reasoning in this comparison, averaging 64.8 versus 55.5. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for agentic tasks in this comparison, averaging 46.2 versus 42.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Seed-2.0-Mini 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-2.0-Mini has the edge for instruction following in this comparison, averaging 80 versus 77. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for multilingual tasks in this comparison, averaging 71.8 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.