Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.4 Pro is clearly ahead on the aggregate, 91 to 87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.4 Pro's sharpest advantage is in multimodal & grounded, where it averages 94.9 against 88.3. The single biggest benchmark swing on the page is MMMU-Pro, 94 to 86.
GPT-5.4 Pro is also the more expensive model on tokens at $30.00 input / $180.00 output per 1M tokens, versus $2.00 input / $8.00 output per 1M tokens for GPT-5.3-Codex-Spark. That is roughly 22.5x on output cost alone. GPT-5.4 Pro gives you the larger context window at 1.05M, compared with 256K for GPT-5.3-Codex-Spark.
Pick GPT-5.4 Pro if you want the stronger benchmark profile. GPT-5.3-Codex-Spark only becomes the better choice if you want the cheaper token bill.
GPT-5.4 Pro
87.4
GPT-5.3-Codex-Spark
85.6
GPT-5.4 Pro
87.4
GPT-5.3-Codex-Spark
82.3
GPT-5.4 Pro
94.9
GPT-5.3-Codex-Spark
88.3
GPT-5.4 Pro
96.1
GPT-5.3-Codex-Spark
92.7
GPT-5.4 Pro
83.8
GPT-5.3-Codex-Spark
78.3
GPT-5.4 Pro
97
GPT-5.3-Codex-Spark
92
GPT-5.4 Pro
95.7
GPT-5.3-Codex-Spark
90.8
GPT-5.4 Pro
98.2
GPT-5.3-Codex-Spark
96.7
GPT-5.4 Pro is ahead overall, 91 to 87. The biggest single separator in this matchup is MMMU-Pro, where the scores are 94 and 86.
GPT-5.4 Pro has the edge for knowledge tasks in this comparison, averaging 83.8 versus 78.3. 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 82.3. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for math in this comparison, averaging 98.2 versus 96.7. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for reasoning in this comparison, averaging 96.1 versus 92.7. Inside this category, MRCRv2 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 85.6. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.
GPT-5.4 Pro has the edge for multimodal and grounded tasks in this comparison, averaging 94.9 versus 88.3. 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 92. 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 90.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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