Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Gemma 3 27B is clearly ahead on the aggregate, 38 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Gemma 3 27B's sharpest advantage is in reasoning, where it averages 45.6 against 30.1. The single biggest benchmark swing on the page is HumanEval, 37 to 15.
Ministral 3 3B gives you the larger context window at 128K, compared with 32K for Gemma 3 27B.
Pick Gemma 3 27B if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if you need the larger 128K context window.
Gemma 3 27B
34.4
Ministral 3 3B
22.9
Gemma 3 27B
16
Ministral 3 3B
6.2
Gemma 3 27B
41.7
Ministral 3 3B
30.4
Gemma 3 27B
45.6
Ministral 3 3B
30.1
Gemma 3 27B
34.6
Ministral 3 3B
24.5
Gemma 3 27B
67
Ministral 3 3B
67
Gemma 3 27B
61.4
Ministral 3 3B
59.7
Gemma 3 27B
49.4
Ministral 3 3B
36
Gemma 3 27B is ahead overall, 38 to 27. The biggest single separator in this matchup is HumanEval, where the scores are 37 and 15.
Gemma 3 27B has the edge for knowledge tasks in this comparison, averaging 34.6 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for coding in this comparison, averaging 16 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for math in this comparison, averaging 49.4 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for reasoning in this comparison, averaging 45.6 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for agentic tasks in this comparison, averaging 34.4 versus 22.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Gemma 3 27B has the edge for multimodal and grounded tasks in this comparison, averaging 41.7 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Gemma 3 27B and Ministral 3 3B are effectively tied for instruction following here, both landing at 67 on average.
Gemma 3 27B has the edge for multilingual tasks in this comparison, averaging 61.4 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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