Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
Ministral 3 14B is clearly ahead on the aggregate, 55 to 35. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Ministral 3 14B's sharpest advantage is in multimodal & grounded, where it averages 70.5 against 36. The single biggest benchmark swing on the page is AIME 2025, 72 to 32.
Pick Ministral 3 14B if you want the stronger benchmark profile. GPT-OSS 20B only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Ministral 3 14B
48.4
GPT-OSS 20B
35.4
Ministral 3 14B
33
GPT-OSS 20B
14.5
Ministral 3 14B
70.5
GPT-OSS 20B
36
Ministral 3 14B
63.6
GPT-OSS 20B
40.4
Ministral 3 14B
50.1
GPT-OSS 20B
29
Ministral 3 14B
80
GPT-OSS 20B
67
Ministral 3 14B
76.8
GPT-OSS 20B
59.7
Ministral 3 14B
69.7
GPT-OSS 20B
43.1
Ministral 3 14B is ahead overall, 55 to 35. The biggest single separator in this matchup is AIME 2025, where the scores are 72 and 32.
Ministral 3 14B has the edge for knowledge tasks in this comparison, averaging 50.1 versus 29. Inside this category, MMLU is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for coding in this comparison, averaging 33 versus 14.5. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for math in this comparison, averaging 69.7 versus 43.1. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for reasoning in this comparison, averaging 63.6 versus 40.4. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for agentic tasks in this comparison, averaging 48.4 versus 35.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multimodal and grounded tasks in this comparison, averaging 70.5 versus 36. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for instruction following in this comparison, averaging 80 versus 67. Inside this category, IFEval is the benchmark that creates the most daylight between them.
Ministral 3 14B has the edge for multilingual tasks in this comparison, averaging 76.8 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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