GPT-5.4 vs GPT-5.4 mini

GPT-5.4 makes more sense if agentic is the priority or you need the larger 1.05M context window, while GPT-5.4 mini is the cleaner fit if multimodal & grounded is the priority or you want the cheaper token bill.

GPT-5.4 and GPT-5.4 mini sit in the same GPT-5.4 family. This page is less about two unrelated model lineages and more about how the siblings trade off on benchmark shape, token costs, and practical limits like context window.

GPT-5.4 is clearly ahead on the provisional aggregate, 89 to 71. 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 agentic, where it averages 77 against 65.6. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 75.1% to 60%. GPT-5.4 mini does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.

GPT-5.4 is also the more expensive model on tokens at $2.50 input / $15.00 output per 1M tokens, versus $0.75 input / $4.50 output per 1M tokens for GPT-5.4 mini. That is roughly 3.3x on output cost alone. GPT-5.4 gives you the larger context window at 1.05M, compared with 400K for GPT-5.4 mini.