Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 1.0 Pro is clearly ahead on the aggregate, 46 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 1.0 Pro's sharpest advantage is in multimodal & grounded, where it averages 68.1 against 30.4. The single biggest benchmark swing on the page is MMMU-Pro, 73 to 25.
Ministral 3 3B (Reasoning) is the reasoning model in the pair, while Gemini 1.0 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. Ministral 3 3B (Reasoning) gives you the larger context window at 128K, compared with 32K for Gemini 1.0 Pro.
Pick Gemini 1.0 Pro if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if you need the larger 128K context window or you want the stronger reasoning-first profile.
Gemini 1.0 Pro
39.8
Ministral 3 3B (Reasoning)
34
Gemini 1.0 Pro
13.1
Ministral 3 3B (Reasoning)
7.2
Gemini 1.0 Pro
68.1
Ministral 3 3B (Reasoning)
30.4
Gemini 1.0 Pro
57.4
Ministral 3 3B (Reasoning)
35.3
Gemini 1.0 Pro
42.8
Ministral 3 3B (Reasoning)
25.2
Gemini 1.0 Pro
77
Ministral 3 3B (Reasoning)
68
Gemini 1.0 Pro
66.8
Ministral 3 3B (Reasoning)
59.7
Gemini 1.0 Pro
65.9
Ministral 3 3B (Reasoning)
40.9
Gemini 1.0 Pro is ahead overall, 46 to 31. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73 and 25.
Gemini 1.0 Pro has the edge for knowledge tasks in this comparison, averaging 42.8 versus 25.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for coding in this comparison, averaging 13.1 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for math in this comparison, averaging 65.9 versus 40.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for reasoning in this comparison, averaging 57.4 versus 35.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for agentic tasks in this comparison, averaging 39.8 versus 34. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 68.1 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for instruction following in this comparison, averaging 77 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 1.0 Pro has the edge for multilingual tasks in this comparison, averaging 66.8 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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