Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Llama 3 70B is clearly ahead on the aggregate, 45 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Llama 3 70B's sharpest advantage is in reasoning, where it averages 59.6 against 30.1. The single biggest benchmark swing on the page is HumanEval, 50 to 15.
Pick Llama 3 70B 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 3 70B
41.2
Ministral 3 3B
22.9
Llama 3 70B
15.8
Ministral 3 3B
6.2
Llama 3 70B
52.3
Ministral 3 3B
30.4
Llama 3 70B
59.6
Ministral 3 3B
30.1
Llama 3 70B
42.2
Ministral 3 3B
24.5
Llama 3 70B
77
Ministral 3 3B
67
Llama 3 70B
67.5
Ministral 3 3B
59.7
Llama 3 70B
63.3
Ministral 3 3B
36
Llama 3 70B is ahead overall, 45 to 27. The biggest single separator in this matchup is HumanEval, where the scores are 50 and 15.
Llama 3 70B has the edge for knowledge tasks in this comparison, averaging 42.2 versus 24.5. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for coding in this comparison, averaging 15.8 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for math in this comparison, averaging 63.3 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for reasoning in this comparison, averaging 59.6 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for agentic tasks in this comparison, averaging 41.2 versus 22.9. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for multimodal and grounded tasks in this comparison, averaging 52.3 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for instruction following in this comparison, averaging 77 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Llama 3 70B has the edge for multilingual tasks in this comparison, averaging 67.5 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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