Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 4 Maverick is clearly ahead on the aggregate, 43 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 4 Maverick's sharpest advantage is in multimodal & grounded, where it averages 56.8 against 30.4. The single biggest benchmark swing on the page is MMMU-Pro, 59 to 25.
Llama 4 Maverick gives you the larger context window at 1M, compared with 128K for Ministral 3 3B.
Pick Llama 4 Maverick 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 Maverick
40.9
Ministral 3 3B
22.9
Llama 4 Maverick
15.7
Ministral 3 3B
6.2
Llama 4 Maverick
56.8
Ministral 3 3B
30.4
Llama 4 Maverick
54
Ministral 3 3B
30.1
Llama 4 Maverick
36.5
Ministral 3 3B
24.5
Llama 4 Maverick
68
Ministral 3 3B
67
Llama 4 Maverick
59.8
Ministral 3 3B
59.7
Llama 4 Maverick
51.3
Ministral 3 3B
36
Llama 4 Maverick is ahead overall, 43 to 27. The biggest single separator in this matchup is MMMU-Pro, where the scores are 59 and 25.
Llama 4 Maverick has the edge for knowledge tasks in this comparison, averaging 36.5 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Llama 4 Maverick has the edge for coding in this comparison, averaging 15.7 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Llama 4 Maverick has the edge for math in this comparison, averaging 51.3 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Llama 4 Maverick has the edge for reasoning in this comparison, averaging 54 versus 30.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Llama 4 Maverick has the edge for agentic tasks in this comparison, averaging 40.9 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Llama 4 Maverick has the edge for multimodal and grounded tasks in this comparison, averaging 56.8 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 4 Maverick 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 Maverick 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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