GPT-5.5 Pro belongs to the GPT-5.5 family, which OpenAI describes as the first fully retrained base model since GPT-4.5, rebuilt from the ground up rather than incrementally extended. The Pro tier sits on top of that lineage as the same underlying model operating with a parallel test-time compute setting, and OpenAI treats its offline safety results as strong proxies for the base while evaluating the Pro configuration separately where the setting could materially change the risk profile.
For practical use, GPT-5.5 Pro is positioned for complex real-world work such as writing code, researching online, analyzing information, producing documents and spreadsheets, and chaining tools to finish multi-step tasks with minimal prompting. OpenAI's GeneBench paper highlights the intended workload by reporting a 33.2% eval-level pass rate on multi-stage inference problems in genomics and quantitative biology, while also showing persistent gaps in which many problems remain under 20% pass rate and models often notice a diagnostic signal without acting on it. That combination of omnimodal input handling, agentic tool use, and test-time scaling makes GPT-5.5 Pro a fit for research and coding pipelines where the model can iterate, call tools, and keep working until a task is done, rather than for single-turn chat.