Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 is clearly ahead on the aggregate, 90 to 31. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4's sharpest advantage is in coding, where it averages 84.5 against 7.2. The single biggest benchmark swing on the page is HumanEval, 95 to 16.
GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Ministral 3 3B (Reasoning). That is roughly Infinityx on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 128K for Ministral 3 3B (Reasoning).
Pick GPT-5.4 if you want the stronger benchmark profile. Ministral 3 3B (Reasoning) only becomes the better choice if you want the cheaper token bill.
GPT-5.4
87.8
Ministral 3 3B (Reasoning)
34
GPT-5.4
84.5
Ministral 3 3B (Reasoning)
7.2
GPT-5.4
95.5
Ministral 3 3B (Reasoning)
30.4
GPT-5.4
95.8
Ministral 3 3B (Reasoning)
35.3
GPT-5.4
82.6
Ministral 3 3B (Reasoning)
25.2
GPT-5.4
96
Ministral 3 3B (Reasoning)
68
GPT-5.4
94.7
Ministral 3 3B (Reasoning)
59.7
GPT-5.4
98.2
Ministral 3 3B (Reasoning)
40.9
GPT-5.4 is ahead overall, 90 to 31. The biggest single separator in this matchup is HumanEval, where the scores are 95 and 16.
GPT-5.4 has the edge for knowledge tasks in this comparison, averaging 82.6 versus 25.2. Inside this category, MMLU is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for coding in this comparison, averaging 84.5 versus 7.2. Inside this category, HumanEval is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for math in this comparison, averaging 98.2 versus 40.9. Inside this category, HMMT Feb 2023 is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for reasoning in this comparison, averaging 95.8 versus 35.3. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for agentic tasks in this comparison, averaging 87.8 versus 34. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multimodal and grounded tasks in this comparison, averaging 95.5 versus 30.4. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for instruction following in this comparison, averaging 96 versus 68. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 has the edge for multilingual tasks in this comparison, averaging 94.7 versus 59.7. Inside this category, MGSM is the benchmark that creates the most daylight between them.
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