Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro is clearly ahead on the aggregate, 77 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in reasoning, where it averages 91.2 against 69.2. The single biggest benchmark swing on the page is HumanEval, 91 to 62.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Gemini 3 Pro 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. Gemini 3 Pro gives you the larger context window at 2M, compared with 128K for Ministral 3 14B (Reasoning).
Pick Gemini 3 Pro if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Gemini 3 Pro
71.1
Ministral 3 14B (Reasoning)
58.5
Gemini 3 Pro
54.1
Ministral 3 14B (Reasoning)
35
Gemini 3 Pro
93.1
Ministral 3 14B (Reasoning)
71.5
Gemini 3 Pro
91.2
Ministral 3 14B (Reasoning)
69.2
Gemini 3 Pro
71.8
Ministral 3 14B (Reasoning)
52.1
Gemini 3 Pro
88
Ministral 3 14B (Reasoning)
81
Gemini 3 Pro
86.4
Ministral 3 14B (Reasoning)
77.8
Gemini 3 Pro
94.1
Ministral 3 14B (Reasoning)
75.2
Gemini 3 Pro is ahead overall, 77 to 60. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 62.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 71.8 versus 52.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for coding in this comparison, averaging 54.1 versus 35. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for math in this comparison, averaging 94.1 versus 75.2. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for reasoning in this comparison, averaging 91.2 versus 69.2. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for agentic tasks in this comparison, averaging 71.1 versus 58.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 71.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for instruction following in this comparison, averaging 88 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multilingual tasks in this comparison, averaging 86.4 versus 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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