Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 4 Scout is clearly ahead on the aggregate, 42 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 4 Scout's sharpest advantage is in multimodal & grounded, where it averages 57.8 against 30.4. The single biggest benchmark swing on the page is MMMU-Pro, 60 to 25.
Llama 4 Scout gives you the larger context window at 10M, compared with 128K for Ministral 3 3B.
Pick Llama 4 Scout if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Llama 4 Scout
40.6
Ministral 3 3B
22.9
Llama 4 Scout
12.9
Ministral 3 3B
6.2
Llama 4 Scout
57.8
Ministral 3 3B
30.4
Llama 4 Scout
55
Ministral 3 3B
30.1
Llama 4 Scout
35.6
Ministral 3 3B
24.5
Llama 4 Scout
68
Ministral 3 3B
67
Llama 4 Scout
59.8
Ministral 3 3B
59.7
Llama 4 Scout
51
Ministral 3 3B
36
Llama 4 Scout is ahead overall, 42 to 27. The biggest single separator in this matchup is MMMU-Pro, where the scores are 60 and 25.
Llama 4 Scout has the edge for knowledge tasks in this comparison, averaging 35.6 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for coding in this comparison, averaging 12.9 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for math in this comparison, averaging 51 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for reasoning in this comparison, averaging 55 versus 30.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for agentic tasks in this comparison, averaging 40.6 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for multimodal and grounded tasks in this comparison, averaging 57.8 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for instruction following in this comparison, averaging 68 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 4 Scout has the edge for multilingual tasks in this comparison, averaging 59.8 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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