Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3.1 Pro is clearly ahead on the aggregate, 84 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3.1 Pro's sharpest advantage is in coding, where it averages 71.9 against 6.2. The single biggest benchmark swing on the page is HumanEval, 91 to 15.
Gemini 3.1 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 3B. That is roughly Infinityx on output cost alone. Gemini 3.1 Pro gives you the larger context window at 1M, compared with 128K for Ministral 3 3B.
Pick Gemini 3.1 Pro if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if you want the cheaper token bill.
Gemini 3.1 Pro
76.1
Ministral 3 3B
22.9
Gemini 3.1 Pro
71.9
Ministral 3 3B
6.2
Gemini 3.1 Pro
95
Ministral 3 3B
30.4
Gemini 3.1 Pro
92.7
Ministral 3 3B
30.1
Gemini 3.1 Pro
79.4
Ministral 3 3B
24.5
Gemini 3.1 Pro
95
Ministral 3 3B
67
Gemini 3.1 Pro
94.1
Ministral 3 3B
59.7
Gemini 3.1 Pro
96.8
Ministral 3 3B
36
Gemini 3.1 Pro is ahead overall, 84 to 27. The biggest single separator in this matchup is HumanEval, where the scores are 91 and 15.
Gemini 3.1 Pro has the edge for knowledge tasks in this comparison, averaging 79.4 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for coding in this comparison, averaging 71.9 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for math in this comparison, averaging 96.8 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for reasoning in this comparison, averaging 92.7 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for agentic tasks in this comparison, averaging 76.1 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 95 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for instruction following in this comparison, averaging 95 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3.1 Pro has the edge for multilingual tasks in this comparison, averaging 94.1 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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