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 61. 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 44.2. The single biggest benchmark swing on the page is AIME 2023, 94 to 67.
Kimi K2.5 (Reasoning) is the reasoning model in the pair, while Nemotron 3 Super 120B A12B 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. Nemotron 3 Super 120B A12B 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. Nemotron 3 Super 120B A12B 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
Nemotron 3 Super 120B A12B
55.3
Kimi K2.5 (Reasoning)
64.1
Nemotron 3 Super 120B A12B
44.2
Kimi K2.5 (Reasoning)
74.3
Nemotron 3 Super 120B A12B
60.4
Kimi K2.5 (Reasoning)
84.9
Nemotron 3 Super 120B A12B
71.8
Kimi K2.5 (Reasoning)
69.7
Nemotron 3 Super 120B A12B
55.8
Kimi K2.5 (Reasoning)
91
Nemotron 3 Super 120B A12B
86
Kimi K2.5 (Reasoning)
86.7
Nemotron 3 Super 120B A12B
81.5
Kimi K2.5 (Reasoning)
92.6
Nemotron 3 Super 120B A12B
74.6
Kimi K2.5 (Reasoning) is ahead overall, 76 to 61. The biggest single separator in this matchup is AIME 2023, where the scores are 94 and 67.
Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 69.7 versus 55.8. 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 44.2. Inside this category, HumanEval 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 74.6. 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 71.8. 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 55.3. 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 60.4. Inside this category, MMMU-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 86. 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 81.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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