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 60. 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 multimodal & grounded, where it averages 85.1 against 71.5. The single biggest benchmark swing on the page is MRCRv2, 83 to 66.
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 (Reasoning). That is roughly Infinityx on output cost alone. Ministral 3 14B (Reasoning) is the reasoning model in the pair, while Gemini 2.5 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 2.5 Pro gives you the larger context window at 1M, compared with 128K for Ministral 3 14B (Reasoning).
Pick Gemini 2.5 Pro if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if you want the cheaper token bill or you want the stronger reasoning-first profile.
Gemini 2.5 Pro
61.7
Ministral 3 14B (Reasoning)
58.5
Gemini 2.5 Pro
41
Ministral 3 14B (Reasoning)
35
Gemini 2.5 Pro
85.1
Ministral 3 14B (Reasoning)
71.5
Gemini 2.5 Pro
80.7
Ministral 3 14B (Reasoning)
69.2
Gemini 2.5 Pro
58.4
Ministral 3 14B (Reasoning)
52.1
Gemini 2.5 Pro
83
Ministral 3 14B (Reasoning)
81
Gemini 2.5 Pro
82.7
Ministral 3 14B (Reasoning)
77.8
Gemini 2.5 Pro
83.5
Ministral 3 14B (Reasoning)
75.2
Gemini 2.5 Pro is ahead overall, 67 to 60. The biggest single separator in this matchup is MRCRv2, where the scores are 83 and 66.
Gemini 2.5 Pro has the edge for knowledge tasks in this comparison, averaging 58.4 versus 52.1. 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 35. 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 75.2. 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 69.2. 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 58.5. 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 71.5. 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 81. 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 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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