Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemini 3 Pro is clearly ahead on the aggregate, 77 to 36. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemini 3 Pro's sharpest advantage is in multimodal & grounded, where it averages 93.1 against 33.4. The single biggest benchmark swing on the page is MMLU, 99 to 30.
Ministral 3 8B (Reasoning) is the reasoning model in the pair, while Gemini 3 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 3 Pro gives you the larger context window at 2M, compared with 128K for Ministral 3 8B (Reasoning).
Pick Gemini 3 Pro if you want the stronger benchmark profile. Ministral 3 8B (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Gemini 3 Pro
71.1
Ministral 3 8B (Reasoning)
38.5
Gemini 3 Pro
54.1
Ministral 3 8B (Reasoning)
15.2
Gemini 3 Pro
93.1
Ministral 3 8B (Reasoning)
33.4
Gemini 3 Pro
91.2
Ministral 3 8B (Reasoning)
42.1
Gemini 3 Pro
71.8
Ministral 3 8B (Reasoning)
30
Gemini 3 Pro
88
Ministral 3 8B (Reasoning)
70
Gemini 3 Pro
86.4
Ministral 3 8B (Reasoning)
61.7
Gemini 3 Pro
94.1
Ministral 3 8B (Reasoning)
47.8
Gemini 3 Pro is ahead overall, 77 to 36. The biggest single separator in this matchup is MMLU, where the scores are 99 and 30.
Gemini 3 Pro has the edge for knowledge tasks in this comparison, averaging 71.8 versus 30. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for coding in this comparison, averaging 54.1 versus 15.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for math in this comparison, averaging 94.1 versus 47.8. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for reasoning in this comparison, averaging 91.2 versus 42.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for agentic tasks in this comparison, averaging 71.1 versus 38.5. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 93.1 versus 33.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for instruction following in this comparison, averaging 88 versus 70. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Gemini 3 Pro has the edge for multilingual tasks in this comparison, averaging 86.4 versus 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
Get notified when new models drop, benchmark scores change, or the leaderboard shifts. One email per week.
Free. No spam. Unsubscribe anytime. We only store derived location metadata for consent routing.