Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro Deep Think is clearly ahead on the aggregate, 81 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro Deep Think's sharpest advantage is in reasoning, where it averages 94.5 against 63.6. The single biggest benchmark swing on the page is MRCRv2, 96 to 60.
Gemini 3 Pro Deep Think is the reasoning model in the pair, while Ministral 3 14B 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 Deep Think gives you the larger context window at 2M, compared with 128K for Ministral 3 14B.
Pick Gemini 3 Pro Deep Think if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Gemini 3 Pro Deep Think
78.1
Ministral 3 14B
48.4
Gemini 3 Pro Deep Think
60.3
Ministral 3 14B
33
Gemini 3 Pro Deep Think
95
Ministral 3 14B
70.5
Gemini 3 Pro Deep Think
94.5
Ministral 3 14B
63.6
Gemini 3 Pro Deep Think
74.7
Ministral 3 14B
50.1
Gemini 3 Pro Deep Think
89
Ministral 3 14B
80
Gemini 3 Pro Deep Think
87.4
Ministral 3 14B
76.8
Gemini 3 Pro Deep Think
94.5
Ministral 3 14B
69.7
Gemini 3 Pro Deep Think is ahead overall, 81 to 55. The biggest single separator in this matchup is MRCRv2, where the scores are 96 and 60.
Gemini 3 Pro Deep Think has the edge for knowledge tasks in this comparison, averaging 74.7 versus 50.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for coding in this comparison, averaging 60.3 versus 33. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for math in this comparison, averaging 94.5 versus 69.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for reasoning in this comparison, averaging 94.5 versus 63.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for agentic tasks in this comparison, averaging 78.1 versus 48.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for instruction following in this comparison, averaging 89 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro Deep Think has the edge for multilingual tasks in this comparison, averaging 87.4 versus 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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