Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3.5 397B (Reasoning) is clearly ahead on the aggregate, 75 to 61. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5 397B (Reasoning)'s sharpest advantage is in agentic, where it averages 74.8 against 55.3. The single biggest benchmark swing on the page is AIME 2023, 93 to 67.
Qwen3.5 397B (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 Qwen3.5 397B (Reasoning).
Pick Qwen3.5 397B (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.
Qwen3.5 397B (Reasoning)
74.8
Nemotron 3 Super 120B A12B
55.3
Qwen3.5 397B (Reasoning)
62.3
Nemotron 3 Super 120B A12B
44.2
Qwen3.5 397B (Reasoning)
70.8
Nemotron 3 Super 120B A12B
60.4
Qwen3.5 397B (Reasoning)
84.2
Nemotron 3 Super 120B A12B
71.8
Qwen3.5 397B (Reasoning)
70.1
Nemotron 3 Super 120B A12B
55.8
Qwen3.5 397B (Reasoning)
89
Nemotron 3 Super 120B A12B
86
Qwen3.5 397B (Reasoning)
87.8
Nemotron 3 Super 120B A12B
81.5
Qwen3.5 397B (Reasoning)
92.5
Nemotron 3 Super 120B A12B
74.6
Qwen3.5 397B (Reasoning) is ahead overall, 75 to 61. The biggest single separator in this matchup is AIME 2023, where the scores are 93 and 67.
Qwen3.5 397B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 70.1 versus 55.8. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen3.5 397B (Reasoning) has the edge for coding in this comparison, averaging 62.3 versus 44.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B (Reasoning) has the edge for math in this comparison, averaging 92.5 versus 74.6. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen3.5 397B (Reasoning) has the edge for reasoning in this comparison, averaging 84.2 versus 71.8. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen3.5 397B (Reasoning) has the edge for agentic tasks in this comparison, averaging 74.8 versus 55.3. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.5 397B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 70.8 versus 60.4. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Qwen3.5 397B (Reasoning) has the edge for instruction following in this comparison, averaging 89 versus 86. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 87.8 versus 81.5. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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