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Its largest factuality improvement over GPT\u20116 Sol comes at low reasoning effort, where it reduces the share of responses containing a factual error from 11.4% to 7.7%\u2014a reduction of approximately 32%. Across the tested reasoning settings, its error rate remains within 1.9 percentage points of GPT\u20116 Astra\u2019s, at less than one-fifth the cost per task.This evaluation measures the share of answers containing at least one factual error on de-identified conversations where users flagged an earlier model\u2019s error. These deliberately difficult prompts are not representative of typical usage.We evaluate factuality on de-identified ChatGPT conversations where users had flagged a factual error from a prior model. These error-inducing conversations are not representative of typical usage, where factual errors are more rare.Deploying GPT\u20116.1 Sol safelyGPT\u20116.1 Sol shows substantial improvements over GPT\u20116 Sol in our alignment evaluations, bringing it closer to GPT\u20116 Astra.GPT\u20116.1 Sol is more transparent about its limitations and more reliable at respecting user intent and safety constraints. In challenging evaluations, it shows lower failure rates than GPT\u20116 Sol on transparency about broken search tools, respecting explicit restrictions, and avoiding unauthorized outcomes during agentic tasks. We observed no attempts to bypass an automated safety reviewer, matching GPT\u20116 Astra and GPT\u20116 Sol. 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