Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5 (medium) is clearly ahead on the aggregate, 78 to 60. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5 (medium)'s sharpest advantage is in coding, where it averages 66.1 against 35. The single biggest benchmark swing on the page is SWE-bench Pro, 72 to 36.
Pick GPT-5 (medium) if you want the stronger benchmark profile. Ministral 3 14B (Reasoning) only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5 (medium)
75.5
Ministral 3 14B (Reasoning)
58.5
GPT-5 (medium)
66.1
Ministral 3 14B (Reasoning)
35
GPT-5 (medium)
88.1
Ministral 3 14B (Reasoning)
71.5
GPT-5 (medium)
84.3
Ministral 3 14B (Reasoning)
69.2
GPT-5 (medium)
69.8
Ministral 3 14B (Reasoning)
52.1
GPT-5 (medium)
88
Ministral 3 14B (Reasoning)
81
GPT-5 (medium)
88.1
Ministral 3 14B (Reasoning)
77.8
GPT-5 (medium)
92
Ministral 3 14B (Reasoning)
75.2
GPT-5 (medium) is ahead overall, 78 to 60. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 72 and 36.
GPT-5 (medium) has the edge for knowledge tasks in this comparison, averaging 69.8 versus 52.1. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for coding in this comparison, averaging 66.1 versus 35. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for math in this comparison, averaging 92 versus 75.2. Inside this category, AIME 2023 is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for reasoning in this comparison, averaging 84.3 versus 69.2. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for agentic tasks in this comparison, averaging 75.5 versus 58.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for multimodal and grounded tasks in this comparison, averaging 88.1 versus 71.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for instruction following in this comparison, averaging 88 versus 81. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5 (medium) has the edge for multilingual tasks in this comparison, averaging 88.1 versus 77.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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