Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
MiniMax M1 80k is clearly ahead on the aggregate, 35 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
MiniMax M1 80k's sharpest advantage is in multimodal & grounded, where it averages 39 against 30.4. The single biggest benchmark swing on the page is HumanEval, 28 to 16. Ministral 3 3B (Reasoning) does hit back in agentic, so the answer changes if that is the part of the workload you care about most.
Ministral 3 3B (Reasoning) is the reasoning model in the pair, while MiniMax M1 80k 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 80K for MiniMax M1 80k.
Pick MiniMax M1 80k if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if agentic is the priority or you need the larger 128K context window.
MiniMax M1 80k
32.1
Ministral 3 3B (Reasoning)
34
MiniMax M1 80k
13.8
Ministral 3 3B (Reasoning)
7.2
MiniMax M1 80k
39
Ministral 3 3B (Reasoning)
30.4
MiniMax M1 80k
41.7
Ministral 3 3B (Reasoning)
35.3
MiniMax M1 80k
31.3
Ministral 3 3B (Reasoning)
25.2
MiniMax M1 80k
68
Ministral 3 3B (Reasoning)
68
MiniMax M1 80k
59.1
Ministral 3 3B (Reasoning)
59.7
MiniMax M1 80k
44.9
Ministral 3 3B (Reasoning)
40.9
MiniMax M1 80k is ahead overall, 35 to 31. The biggest single separator in this matchup is HumanEval, where the scores are 28 and 16.
MiniMax M1 80k has the edge for knowledge tasks in this comparison, averaging 31.3 versus 25.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for coding in this comparison, averaging 13.8 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for math in this comparison, averaging 44.9 versus 40.9. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for reasoning in this comparison, averaging 41.7 versus 35.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 3B (Reasoning) has the edge for agentic tasks in this comparison, averaging 34 versus 32.1. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
MiniMax M1 80k has the edge for multimodal and grounded tasks in this comparison, averaging 39 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
MiniMax M1 80k and Ministral 3 3B (Reasoning) are effectively tied for instruction following here, both landing at 68 on average.
Ministral 3 3B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 59.7 versus 59.1. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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