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 32. 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 mathematics, where it averages 92.5 against 43.3. The single biggest benchmark swing on the page is MMLU, 91 to 28.
Qwen3.5 397B (Reasoning) is the reasoning model in the pair, while Ministral 3 8B 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.
Pick Qwen3.5 397B (Reasoning) if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Qwen3.5 397B (Reasoning)
74.8
Ministral 3 8B
28.9
Qwen3.5 397B (Reasoning)
62.3
Ministral 3 8B
14.2
Qwen3.5 397B (Reasoning)
70.8
Ministral 3 8B
32.4
Qwen3.5 397B (Reasoning)
84.2
Ministral 3 8B
36.1
Qwen3.5 397B (Reasoning)
70.1
Ministral 3 8B
28
Qwen3.5 397B (Reasoning)
89
Ministral 3 8B
69
Qwen3.5 397B (Reasoning)
87.8
Ministral 3 8B
61.7
Qwen3.5 397B (Reasoning)
92.5
Ministral 3 8B
43.3
Qwen3.5 397B (Reasoning) is ahead overall, 75 to 32. The biggest single separator in this matchup is MMLU, where the scores are 91 and 28.
Qwen3.5 397B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 70.1 versus 28. 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 14.2. 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 43.3. 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 36.1. 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 28.9. 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 32.4. 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 69. 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 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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