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 55. 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 63.6. The single biggest benchmark swing on the page is HumanEval, 75 to 58. Ministral 3 14B does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.
Pick Qwen3.5 397B if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if multimodal & grounded is the priority.
Qwen3.5 397B
56.9
Ministral 3 14B
48.4
Qwen3.5 397B
40.7
Ministral 3 14B
33
Qwen3.5 397B
61.4
Ministral 3 14B
70.5
Qwen3.5 397B
75.9
Ministral 3 14B
63.6
Qwen3.5 397B
59.3
Ministral 3 14B
50.1
Qwen3.5 397B
82
Ministral 3 14B
80
Qwen3.5 397B
78.8
Ministral 3 14B
76.8
Qwen3.5 397B
81.6
Ministral 3 14B
69.7
Qwen3.5 397B is ahead overall, 62 to 55. The biggest single separator in this matchup is HumanEval, where the scores are 75 and 58.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 50.1. 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 33. 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 69.7. 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 63.6. 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 48.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 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 80. 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 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.