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 36. 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 33.4. The single biggest benchmark swing on the page is MMMU-Pro, 73 to 28. Ministral 3 8B (Reasoning) does hit back in coding, so the answer changes if that is the part of the workload you care about most.
Ministral 3 8B (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 8B (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 8B (Reasoning) only becomes the better choice if coding is the priority or you need the larger 128K context window.
Gemini 1.0 Pro
39.8
Ministral 3 8B (Reasoning)
38.5
Gemini 1.0 Pro
13.1
Ministral 3 8B (Reasoning)
15.2
Gemini 1.0 Pro
68.1
Ministral 3 8B (Reasoning)
33.4
Gemini 1.0 Pro
57.4
Ministral 3 8B (Reasoning)
42.1
Gemini 1.0 Pro
42.8
Ministral 3 8B (Reasoning)
30
Gemini 1.0 Pro
77
Ministral 3 8B (Reasoning)
70
Gemini 1.0 Pro
66.8
Ministral 3 8B (Reasoning)
61.7
Gemini 1.0 Pro
65.9
Ministral 3 8B (Reasoning)
47.8
Gemini 1.0 Pro is ahead overall, 46 to 36. The biggest single separator in this matchup is MMMU-Pro, where the scores are 73 and 28.
Gemini 1.0 Pro has the edge for knowledge tasks in this comparison, averaging 42.8 versus 30. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Ministral 3 8B (Reasoning) has the edge for coding in this comparison, averaging 15.2 versus 13.1. 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 47.8. 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 42.1. 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 38.5. 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 33.4. 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 70. 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 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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