Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B (Reasoning) is clearly ahead on the aggregate, 60 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B (Reasoning)'s sharpest advantage is in multimodal & grounded, where it averages 71.5 against 36. The single biggest benchmark swing on the page is MuSR, 70 to 27.
Ministral 3 14B (Reasoning) is the reasoning model in the pair, while GPT-OSS 20B 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.
Pick Ministral 3 14B (Reasoning) if you want the stronger benchmark profile. GPT-OSS 20B only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Ministral 3 14B (Reasoning)
58.5
GPT-OSS 20B
35.4
Ministral 3 14B (Reasoning)
35
GPT-OSS 20B
14.5
Ministral 3 14B (Reasoning)
71.5
GPT-OSS 20B
36
Ministral 3 14B (Reasoning)
69.2
GPT-OSS 20B
40.4
Ministral 3 14B (Reasoning)
52.1
GPT-OSS 20B
29
Ministral 3 14B (Reasoning)
81
GPT-OSS 20B
67
Ministral 3 14B (Reasoning)
77.8
GPT-OSS 20B
59.7
Ministral 3 14B (Reasoning)
75.2
GPT-OSS 20B
43.1
Ministral 3 14B (Reasoning) is ahead overall, 60 to 35. The biggest single separator in this matchup is MuSR, where the scores are 70 and 27.
Ministral 3 14B (Reasoning) has the edge for knowledge tasks in this comparison, averaging 52.1 versus 29. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for coding in this comparison, averaging 35 versus 14.5. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for math in this comparison, averaging 75.2 versus 43.1. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for reasoning in this comparison, averaging 69.2 versus 40.4. Inside this category, MuSR is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for agentic tasks in this comparison, averaging 58.5 versus 35.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 71.5 versus 36. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for instruction following in this comparison, averaging 81 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B (Reasoning) has the edge for multilingual tasks in this comparison, averaging 77.8 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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