Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Qwen2.5-VL-32B has the cleaner overall profile here, landing at 38 versus 36. It is a real lead, but still close enough that category-level strengths matter more than the headline number.
Qwen2.5-VL-32B's sharpest advantage is in multimodal & grounded, where it averages 52.2 against 33.4. The single biggest benchmark swing on the page is MMMU-Pro, 58 to 28. Ministral 3 8B (Reasoning) does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while Qwen2.5-VL-32B 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. Ministral 3 8B (Reasoning) gives you the larger context window at 128K, compared with 32K for Qwen2.5-VL-32B.
Pick Qwen2.5-VL-32B if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if agentic is the priority or you need the larger 128K context window.
Qwen2.5-VL-32B
33.5
Ministral 3 8B (Reasoning)
38.5
Qwen2.5-VL-32B
14.3
Ministral 3 8B (Reasoning)
15.2
Qwen2.5-VL-32B
52.2
Ministral 3 8B (Reasoning)
33.4
Qwen2.5-VL-32B
43.2
Ministral 3 8B (Reasoning)
42.1
Qwen2.5-VL-32B
34.7
Ministral 3 8B (Reasoning)
30
Qwen2.5-VL-32B
67
Ministral 3 8B (Reasoning)
70
Qwen2.5-VL-32B
60.4
Ministral 3 8B (Reasoning)
61.7
Qwen2.5-VL-32B
49.7
Ministral 3 8B (Reasoning)
47.8
Qwen2.5-VL-32B is ahead overall, 38 to 36. The biggest single separator in this matchup is MMMU-Pro, where the scores are 58 and 28.
Qwen2.5-VL-32B has the edge for knowledge tasks in this comparison, averaging 34.7 versus 30. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for coding in this comparison, averaging 15.2 versus 14.3. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Qwen2.5-VL-32B has the edge for math in this comparison, averaging 49.7 versus 47.8. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Qwen2.5-VL-32B has the edge for reasoning in this comparison, averaging 43.2 versus 42.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for agentic tasks in this comparison, averaging 38.5 versus 33.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Qwen2.5-VL-32B has the edge for multimodal and grounded tasks in this comparison, averaging 52.2 versus 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for instruction following in this comparison, averaging 70 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 61.7 versus 60.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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