Side-by-side benchmark comparison across agentic, coding, multimodal, knowledge, reasoning, and math workflows.
GPT-5.2 Pro finishes one point ahead overall, 90 to 89. 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-5.2 Pro's sharpest advantage is in multimodal & grounded, where it averages 96 against 91.3. The single biggest benchmark swing on the page is MMMU-Pro, 96 to 89. GPT-5.3 Codex does hit back in coding, so the answer changes if that is the part of the workload you care about most.
GPT-5.2 Pro is also the more expensive model on tokens at $25.00 input / $150.00 output per 1M tokens, versus $2.50 input / $10.00 output per 1M tokens for GPT-5.3 Codex. That is roughly 15.0x on output cost alone.
Pick GPT-5.2 Pro if you want the stronger benchmark profile. GPT-5.3 Codex only becomes the better choice if coding is the priority or you want the cheaper token bill.
GPT-5.2 Pro
85.9
GPT-5.3 Codex
88.1
GPT-5.2 Pro
84.8
GPT-5.3 Codex
87.3
GPT-5.2 Pro
96
GPT-5.3 Codex
91.3
GPT-5.2 Pro
95.2
GPT-5.3 Codex
93.7
GPT-5.2 Pro
81.5
GPT-5.3 Codex
80.3
GPT-5.2 Pro
95
GPT-5.3 Codex
93
GPT-5.2 Pro
93.4
GPT-5.3 Codex
92.8
GPT-5.2 Pro
98.2
GPT-5.3 Codex
97.7
GPT-5.2 Pro is ahead overall, 90 to 89. The biggest single separator in this matchup is MMMU-Pro, where the scores are 96 and 89.
GPT-5.2 Pro has the edge for knowledge tasks in this comparison, averaging 81.5 versus 80.3. Inside this category, FrontierScience is the benchmark that creates the most daylight between them.
GPT-5.3 Codex has the edge for coding in this comparison, averaging 87.3 versus 84.8. Inside this category, LiveCodeBench is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for math in this comparison, averaging 98.2 versus 97.7. Inside this category, AIME 2025 is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for reasoning in this comparison, averaging 95.2 versus 93.7. Inside this category, SimpleQA is the benchmark that creates the most daylight between them.
GPT-5.3 Codex has the edge for agentic tasks in this comparison, averaging 88.1 versus 85.9. Inside this category, OSWorld-Verified 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 91.3. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for instruction following in this comparison, averaging 95 versus 93. Inside this category, IFEval is the benchmark that creates the most daylight between them.
GPT-5.2 Pro has the edge for multilingual tasks in this comparison, averaging 93.4 versus 92.8. Inside this category, MMLU-ProX is the benchmark that creates the most daylight between them.
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