Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen3.5 397B is clearly ahead on the aggregate, 62 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3.5 397B's sharpest advantage is in reasoning, where it averages 75.9 against 36.1. The single biggest benchmark swing on the page is MMLU, 83 to 28.
Pick Qwen3.5 397B if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Qwen3.5 397B
56.9
Ministral 3 8B
28.9
Qwen3.5 397B
40.7
Ministral 3 8B
14.2
Qwen3.5 397B
61.4
Ministral 3 8B
32.4
Qwen3.5 397B
75.9
Ministral 3 8B
36.1
Qwen3.5 397B
59.3
Ministral 3 8B
28
Qwen3.5 397B
82
Ministral 3 8B
69
Qwen3.5 397B
78.8
Ministral 3 8B
61.7
Qwen3.5 397B
81.6
Ministral 3 8B
43.3
Qwen3.5 397B is ahead overall, 62 to 32. The biggest single separator in this matchup is MMLU, where the scores are 83 and 28.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 28. 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 14.2. 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 43.3. 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 36.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for agentic tasks in this comparison, averaging 56.9 versus 28.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen3.5 397B has the edge for multimodal and grounded tasks in this comparison, averaging 61.4 versus 32.4. 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 69. 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 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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