Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Nemotron-4 15B is clearly ahead on the aggregate, 47 to 32. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Nemotron-4 15B's sharpest advantage is in mathematics, where it averages 61.1 against 43.3. The single biggest benchmark swing on the page is MMLU, 54 to 28.
Ministral 3 8B gives you the larger context window at 128K, compared with 32K for Nemotron-4 15B.
Pick Nemotron-4 15B if you want the stronger benchmark profile. Ministral 3 8B only becomes the better choice if you need the larger 128K context window.
Nemotron-4 15B
41.3
Ministral 3 8B
28.9
Nemotron-4 15B
26.5
Ministral 3 8B
14.2
Nemotron-4 15B
49.6
Ministral 3 8B
32.4
Nemotron-4 15B
53.4
Ministral 3 8B
36.1
Nemotron-4 15B
42.6
Ministral 3 8B
28
Nemotron-4 15B
79
Ministral 3 8B
69
Nemotron-4 15B
72.4
Ministral 3 8B
61.7
Nemotron-4 15B
61.1
Ministral 3 8B
43.3
Nemotron-4 15B is ahead overall, 47 to 32. The biggest single separator in this matchup is MMLU, where the scores are 54 and 28.
Nemotron-4 15B has the edge for knowledge tasks in this comparison, averaging 42.6 versus 28. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for coding in this comparison, averaging 26.5 versus 14.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for math in this comparison, averaging 61.1 versus 43.3. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for reasoning in this comparison, averaging 53.4 versus 36.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for agentic tasks in this comparison, averaging 41.3 versus 28.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for multimodal and grounded tasks in this comparison, averaging 49.6 versus 32.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for instruction following in this comparison, averaging 79 versus 69. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Nemotron-4 15B has the edge for multilingual tasks in this comparison, averaging 72.4 versus 61.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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