Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral 7B v0.3 is clearly ahead on the aggregate, 32 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral 7B v0.3's sharpest advantage is in mathematics, where it averages 43 against 36. The single biggest benchmark swing on the page is HumanEval, 22 to 15.
Ministral 3 3B gives you the larger context window at 128K, compared with 32K for Mistral 7B v0.3.
Pick Mistral 7B v0.3 if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if you need the larger 128K context window.
Mistral 7B v0.3
26.4
Ministral 3 3B
22.9
Mistral 7B v0.3
13.2
Ministral 3 3B
6.2
Mistral 7B v0.3
32.4
Ministral 3 3B
30.4
Mistral 7B v0.3
36.1
Ministral 3 3B
30.1
Mistral 7B v0.3
30
Ministral 3 3B
24.5
Mistral 7B v0.3
68
Ministral 3 3B
67
Mistral 7B v0.3
60.7
Ministral 3 3B
59.7
Mistral 7B v0.3
43
Ministral 3 3B
36
Mistral 7B v0.3 is ahead overall, 32 to 27. The biggest single separator in this matchup is HumanEval, where the scores are 22 and 15.
Mistral 7B v0.3 has the edge for knowledge tasks in this comparison, averaging 30 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mistral 7B v0.3 has the edge for coding in this comparison, averaging 13.2 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mistral 7B v0.3 has the edge for math in this comparison, averaging 43 versus 36. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mistral 7B v0.3 has the edge for reasoning in this comparison, averaging 36.1 versus 30.1. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Mistral 7B v0.3 has the edge for agentic tasks in this comparison, averaging 26.4 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mistral 7B v0.3 has the edge for multimodal and grounded tasks in this comparison, averaging 32.4 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Mistral 7B v0.3 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.
Mistral 7B v0.3 has the edge for multilingual tasks in this comparison, averaging 60.7 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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