Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Kimi K2.5 (Reasoning) is clearly ahead on the aggregate, 76 to 53. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Kimi K2.5 (Reasoning)'s sharpest advantage is in coding, where it averages 64.1 against 24.7. The single biggest benchmark swing on the page is SWE-bench Verified, 65 to 22.
Kimi K2.5 (Reasoning) is the reasoning model in the pair, while Seed-2.0-Mini 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-2.0-Mini gives you the larger context window at 256K, compared with 128K for Kimi K2.5 (Reasoning).
Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Seed-2.0-Mini only becomes the better choice if you need the larger 256K context window or you would rather avoid the extra latency and token burn of a reasoning model.
Kimi K2.5 (Reasoning)
73.1
Seed-2.0-Mini
46.2
Kimi K2.5 (Reasoning)
64.1
Seed-2.0-Mini
24.7
Kimi K2.5 (Reasoning)
74.3
Seed-2.0-Mini
73.1
Kimi K2.5 (Reasoning)
84.9
Seed-2.0-Mini
64.8
Kimi K2.5 (Reasoning)
69.7
Seed-2.0-Mini
44.6
Kimi K2.5 (Reasoning)
91
Seed-2.0-Mini
80
Kimi K2.5 (Reasoning)
86.7
Seed-2.0-Mini
71.8
Kimi K2.5 (Reasoning)
92.6
Seed-2.0-Mini
65.1
Kimi K2.5 (Reasoning) is ahead overall, 76 to 53. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 65 and 22.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 69.7 versus 44.6. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 64.1 versus 24.7. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for math in this comparison, averaging 92.6 versus 65.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for reasoning in this comparison, averaging 84.9 versus 64.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for agentic tasks in this comparison, averaging 73.1 versus 46.2. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 74.3 versus 73.1. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for instruction following in this comparison, averaging 91 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Kimi K2.5 (Reasoning) has the edge for multilingual tasks in this comparison, averaging 86.7 versus 71.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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