Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mistral 8x7B is clearly ahead on the aggregate, 48 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mistral 8x7B's sharpest advantage is in mathematics, where it averages 68.1 against 40.9. The single biggest benchmark swing on the page is MMLU, 65 to 25.
Ministral 3 3B (Reasoning) is the reasoning model in the pair, while Mistral 8x7B 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. Ministral 3 3B (Reasoning) gives you the larger context window at 128K, compared with 32K for Mistral 8x7B.
Pick Mistral 8x7B if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if you need the larger 128K context window or you want the stronger reasoning-first profile.
Mistral 8x7B
41.1
Ministral 3 3B (Reasoning)
34
Mistral 8x7B
25.8
Ministral 3 3B (Reasoning)
7.2
Mistral 8x7B
48.3
Ministral 3 3B (Reasoning)
30.4
Mistral 8x7B
60.3
Ministral 3 3B (Reasoning)
35.3
Mistral 8x7B
48.4
Ministral 3 3B (Reasoning)
25.2
Mistral 8x7B
78
Ministral 3 3B (Reasoning)
68
Mistral 8x7B
72.1
Ministral 3 3B (Reasoning)
59.7
Mistral 8x7B
68.1
Ministral 3 3B (Reasoning)
40.9
Mistral 8x7B is ahead overall, 48 to 31. The biggest single separator in this matchup is MMLU, where the scores are 65 and 25.
Mistral 8x7B has the edge for knowledge tasks in this comparison, averaging 48.4 versus 25.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for coding in this comparison, averaging 25.8 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for math in this comparison, averaging 68.1 versus 40.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for reasoning in this comparison, averaging 60.3 versus 35.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for agentic tasks in this comparison, averaging 41.1 versus 34. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for multimodal and grounded tasks in this comparison, averaging 48.3 versus 30.4. Inside this category, OfficeQA Pro is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for instruction following in this comparison, averaging 78 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Mistral 8x7B has the edge for multilingual tasks in this comparison, averaging 72.1 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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