Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral Large 3 is clearly ahead on the aggregate, 61 to 55. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral Large 3's sharpest advantage is in coding, where it averages 41 against 33. The single biggest benchmark swing on the page is HumanEval, 68 to 58.
Mistral Large 3 is also the more expensive model on tokens at $2.00 input / $6.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 14B. That is roughly Infinityx on output cost alone.
Pick Mistral Large 3 if you want the stronger benchmark profile. Ministral 3 14B only becomes the better choice if you want the cheaper token bill.
Mistral Large 3
52.5
Ministral 3 14B
48.4
Mistral Large 3
41
Ministral 3 14B
33
Mistral Large 3
75.5
Ministral 3 14B
70.5
Mistral Large 3
70.6
Ministral 3 14B
63.6
Mistral Large 3
57.1
Ministral 3 14B
50.1
Mistral Large 3
83
Ministral 3 14B
80
Mistral Large 3
78.8
Ministral 3 14B
76.8
Mistral Large 3
77.3
Ministral 3 14B
69.7
Mistral Large 3 is ahead overall, 61 to 55. The biggest single separator in this matchup is HumanEval, where the scores are 68 and 58.
Mistral Large 3 has the edge for knowledge tasks in this comparison, averaging 57.1 versus 50.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for coding in this comparison, averaging 41 versus 33. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for math in this comparison, averaging 77.3 versus 69.7. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for reasoning in this comparison, averaging 70.6 versus 63.6. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for agentic tasks in this comparison, averaging 52.5 versus 48.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for multimodal and grounded tasks in this comparison, averaging 75.5 versus 70.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for instruction following in this comparison, averaging 83 versus 80. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mistral Large 3 has the edge for multilingual tasks in this comparison, averaging 78.8 versus 76.8. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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