Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 Pro finishes one point ahead overall, 91 to 90. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.
GPT-5.4 Pro's sharpest advantage is in coding, where it averages 87.4 against 84.8. The single biggest benchmark swing on the page is HLE, 50 to 44. GPT-5.2 Pro 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 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $25.00 input / $150.00 output per 1M tokens for GPT-5.2 Pro. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 400K for GPT-5.2 Pro.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. GPT-5.2 Pro only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.
GPT-5.4 Pro
87.4
GPT-5.2 Pro
85.9
GPT-5.4 Pro
87.4
GPT-5.2 Pro
84.8
GPT-5.4 Pro
94.9
GPT-5.2 Pro
96
GPT-5.4 Pro
96.1
GPT-5.2 Pro
95.2
GPT-5.4 Pro
83.8
GPT-5.2 Pro
81.5
GPT-5.4 Pro
97
GPT-5.2 Pro
95
GPT-5.4 Pro
95.7
GPT-5.2 Pro
93.4
GPT-5.4 Pro
98.2
GPT-5.2 Pro
98.2
GPT-5.4 Pro is ahead overall, 91 to 90. The biggest single separator in this matchup is HLE, where the scores are 50 and 44.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 83.8 versus 81.5. Inside this category, HLE is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for coding in this comparison, averaging 87.4 versus 84.8. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.4 Pro and GPT-5.2 Pro are effectively tied for math here, both landing at 98.2 on average.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.1 versus 95.2. Inside this category, LongBench v2 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for agentic tasks in this comparison, averaging 87.4 versus 85.9. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 96 versus 94.9. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for instruction following in this comparison, averaging 97 versus 95. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multilingual tasks in this comparison, averaging 95.7 versus 93.4. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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