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 34. 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 39.5. The single biggest benchmark swing on the page is MMMU-Pro, 74 to 35.
Seed-2.0-Mini gives you the larger context window at 256K, compared with 128K for Kimi K2.
Pick Seed-2.0-Mini if you want the stronger benchmark profile. Kimi K2 only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Seed-2.0-Mini
46.2
Kimi K2
29.3
Seed-2.0-Mini
24.7
Kimi K2
12.8
Seed-2.0-Mini
73.1
Kimi K2
39.5
Seed-2.0-Mini
64.8
Kimi K2
40.9
Seed-2.0-Mini
44.6
Kimi K2
29.3
Seed-2.0-Mini
80
Kimi K2
67
Seed-2.0-Mini
71.8
Kimi K2
59.7
Seed-2.0-Mini
65.1
Kimi K2
42.7
Seed-2.0-Mini is ahead overall, 53 to 34. The biggest single separator in this matchup is MMMU-Pro, where the scores are 74 and 35.
Seed-2.0-Mini has the edge for knowledge tasks in this comparison, averaging 44.6 versus 29.3. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Seed-2.0-Mini has the edge for coding in this comparison, averaging 24.7 versus 12.8. Inside this category, HumanEval 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 42.7. 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 40.9. Inside this category, SimpleQA 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 29.3. Inside this category, OSWorld-Verified 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 39.5. 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 67. 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 59.7. 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.