AlphaFold

Gemini 3 Pro was developed in partnership with internal safety, security, and responsibility teams. A range of evaluations and red teaming activities were conducted to help improve the model and inform decision-making. These evaluations and activities align with Google's AI Principles and responsible AI approach, as well as Google's Generative AI policies (e.g. Gen AI Prohibited Use Policy and the Gemini API Additional Terms of Service). Evaluation types included but were not limited to: ● Training/Development Evaluations including automated and human evaluations carried out continuously throughout and after the model’s training, to monitor its progress and performance; ● Human Red Teaming conducted by specialist teams who sit outside of the model development team, across the policies and desiderata, deliberately trying to spot weaknesses and ensure the model adheres to safety policies and desired outcomes; ● Automated Red Teaming to dynamically evaluate Gemini for safety and security considerations at scale, complementing human red teaming and static evaluations; ● Ethics & Safety Reviews were conducted ahead of the model’s release In addition, we perform testing following the guidelines in Google DeepMind’s Frontier Safety Framework (FSF).

Gemini 3 Pro may exhibit some of the general limitations of foundation models, such as hallucinations. There may also be occasional slowness or timeout issues. The knowledge cutoff date for Gemini 3 Pro was January 2025.