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 36. 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 42.1. The single biggest benchmark swing on the page is MMLU, 83 to 30.
Ministral 3 8B (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 8B (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Qwen3.5 397B
56.9
Ministral 3 8B (Reasoning)
38.5
Qwen3.5 397B
40.7
Ministral 3 8B (Reasoning)
15.2
Qwen3.5 397B
61.4
Ministral 3 8B (Reasoning)
33.4
Qwen3.5 397B
75.9
Ministral 3 8B (Reasoning)
42.1
Qwen3.5 397B
59.3
Ministral 3 8B (Reasoning)
30
Qwen3.5 397B
82
Ministral 3 8B (Reasoning)
70
Qwen3.5 397B
78.8
Ministral 3 8B (Reasoning)
61.7
Qwen3.5 397B
81.6
Ministral 3 8B (Reasoning)
47.8
Qwen3.5 397B is ahead overall, 62 to 36. The biggest single separator in this matchup is MMLU, where the scores are 83 and 30.
Qwen3.5 397B has the edge for knowledge tasks in this comparison, averaging 59.3 versus 30. 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 15.2. 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 47.8. 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 42.1. 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 38.5. Inside this category, BrowseComp 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 33.4. 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 70. 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.
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.