Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3.5 397B has the cleaner overall profile here, landing at 62 versus 60. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen3.5 397B's sharpest advantage is in knowledge, where it averages 59.3 against 52.1. The single biggest benchmark swing on the page is MMMU-Pro, 56 to 71. Ministral 3 14B (Reasoning) does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Qwen3.5 397B 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 if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if multimodal & grounded is the priority or you want the stronger reasoning-first profile.
Qwen3.5 397B
56.9
Ministral 3 14B (Reasoning)
58.5
Qwen3.5 397B
40.7
Ministral 3 14B (Reasoning)
35
Qwen3.5 397B
61.4
Ministral 3 14B (Reasoning)
71.5
Qwen3.5 397B
75.9
Ministral 3 14B (Reasoning)
69.2
Qwen3.5 397B
59.3
Ministral 3 14B (Reasoning)
52.1
Qwen3.5 397B
82
Ministral 3 14B (Reasoning)
81
Qwen3.5 397B
78.8
Ministral 3 14B (Reasoning)
77.8
Qwen3.5 397B
81.6
Ministral 3 14B (Reasoning)
75.2
Qwen3.5 397B is ahead overall, 62 to 60. The biggest single separator in this matchup is MMMU-Pro, where the scores are 56 and 71.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 52.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for coding in this comparison, averaging 40.7 versus 35. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for math in this comparison, averaging 81.6 versus 75.2. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for reasoning in this comparison, averaging 75.9 versus 69.2. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 56.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 61.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for instruction following in this comparison, averaging 82 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for multilingual tasks in this comparison, averaging 78.8 versus 77.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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