Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Mixtral 8x22B Instruct v0.1 is clearly ahead on the aggregate, 35 to 27. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Mixtral 8x22B Instruct v0.1's sharpest advantage is in coding, where it averages 40 against 6.2. The single biggest benchmark swing on the page is MMLU, 71.4 to 24. Ministral 3 3B does hit back in multilingual, so the answer changes if that is the part of the workload you care about most.
Ministral 3 3B gives you the larger context window at 128K, compared with 64K for Mixtral 8x22B Instruct v0.1.
Pick Mixtral 8x22B Instruct v0.1 if you want the stronger benchmark profile. Ministral 3 3B only becomes the better choice if multilingual is the priority or you need the larger 128K context window.
Mixtral 8x22B Instruct v0.1
31.8
Ministral 3 3B
22.9
Mixtral 8x22B Instruct v0.1
40
Ministral 3 3B
6.2
Mixtral 8x22B Instruct v0.1
35.5
Ministral 3 3B
30.4
Mixtral 8x22B Instruct v0.1
38.6
Ministral 3 3B
30.1
Mixtral 8x22B Instruct v0.1
53
Ministral 3 3B
24.5
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mixtral 8x22B Instruct v0.1
42
Ministral 3 3B
59.7
Comparable scores for this category are coming soon. One or both models do not have sourced results here yet.
Mixtral 8x22B Instruct v0.1 is ahead overall, 35 to 27. The biggest single separator in this matchup is MMLU, where the scores are 71.4 and 24.
Mixtral 8x22B Instruct v0.1 has the edge for knowledge tasks in this comparison, averaging 53 versus 24.5. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for coding in this comparison, averaging 40 versus 6.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for reasoning in this comparison, averaging 38.6 versus 30.1. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for agentic tasks in this comparison, averaging 31.8 versus 22.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Mixtral 8x22B Instruct v0.1 has the edge for multimodal and grounded tasks in this comparison, averaging 35.5 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 3B has the edge for multilingual tasks in this comparison, averaging 59.7 versus 42. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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