Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 2 is clearly ahead on the aggregate, 59 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Large 2's sharpest advantage is in coding, where it averages 41.8 against 7.2. The single biggest benchmark swing on the page is HumanEval, 60 to 16.
Ministral 3 3B (Reasoning) is the reasoning model in the pair, while Mistral Large 2 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Pick Mistral Large 2 if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if you want the stronger reasoning-first profile.
Mistral Large 2
52.2
Ministral 3 3B (Reasoning)
34
Mistral Large 2
41.8
Ministral 3 3B (Reasoning)
7.2
Mistral Large 2
61
Ministral 3 3B (Reasoning)
30.4
Mistral Large 2
67.5
Ministral 3 3B (Reasoning)
35.3
Mistral Large 2
54.6
Ministral 3 3B (Reasoning)
25.2
Mistral Large 2
83
Ministral 3 3B (Reasoning)
68
Mistral Large 2
79.1
Ministral 3 3B (Reasoning)
59.7
Mistral Large 2
73.8
Ministral 3 3B (Reasoning)
40.9
Mistral Large 2 is ahead overall, 59 to 31. The biggest single separator in this matchup is HumanEval, where the scores are 60 and 16.
Mistral Large 2 has the edge for knowledge tasks in this comparison, averaging 54.6 versus 25.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for coding in this comparison, averaging 41.8 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for math in this comparison, averaging 73.8 versus 40.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for reasoning in this comparison, averaging 67.5 versus 35.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for agentic tasks in this comparison, averaging 52.2 versus 34. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for multimodal and grounded tasks in this comparison, averaging 61 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for instruction following in this comparison, averaging 83 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mistral Large 2 has the edge for multilingual tasks in this comparison, averaging 79.1 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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