Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 2.5 Pro is clearly ahead on the aggregate, 67 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 2.5 Pro's sharpest advantage is in reasoning, where it averages 80.7 against 63.6. The single biggest benchmark swing on the page is MRCRv2, 83 to 60.
Gemini 2.5 Pro is also the more expensive model on tokens at $1.25 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B. That is roughly Infinityx on output cost alone. Gemini 2.5 Pro gives you the larger context window at 1M, compared with 128K for Ministral 3 14B.
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if you want the cheaper token bill.
Gemini 2.5 Pro
61.7
Ministral 3 14B
48.4
Gemini 2.5 Pro
41
Ministral 3 14B
33
Gemini 2.5 Pro
85.1
Ministral 3 14B
70.5
Gemini 2.5 Pro
80.7
Ministral 3 14B
63.6
Gemini 2.5 Pro
58.4
Ministral 3 14B
50.1
Gemini 2.5 Pro
83
Ministral 3 14B
80
Gemini 2.5 Pro
82.7
Ministral 3 14B
76.8
Gemini 2.5 Pro
83.5
Ministral 3 14B
69.7
Gemini 2.5 Pro is ahead overall, 67 to 55. The biggest single separator in this matchup is MRCRv2, where the scores are 83 and 60.
Gemini 2.5 Pro has the edge for knowledge tasks in this comparison, averaging 58.4 versus 50.1. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for coding in this comparison, averaging 41 versus 33. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for math in this comparison, averaging 83.5 versus 69.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for reasoning in this comparison, averaging 80.7 versus 63.6. Inside this category, MRCRv2 is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for agentic tasks in this comparison, averaging 61.7 versus 48.4. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 85.1 versus 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for instruction following in this comparison, averaging 83 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 2.5 Pro has the edge for multilingual tasks in this comparison, averaging 82.7 versus 76.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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