Gemini 4 Argon model card: DeepMind says it cannot rule out that biosecurity and cybersecurity CCLs have been reached

Google DeepMind released the Gemini 4 Argon model card, stating that it cannot rule out that the model has reached the CBRN CCL for biosecurity information risk and the cybersecurity CCL, nor can it rule out reaching the Stealth and Situational Awareness TCL under Loss of Control, and stated that it has reduced the risk below the threshold through a safety case and residual risk assessment, respectively. The model is a natively multimodal, large-scale sparse MoE Transformer with an input-output context window of up to 1M tokens and a knowledge cutoff of March 2026. Relative to Gemini 3.1 Pro, the changes in automated safety evaluations during development are: text-to-text safety +1.57pp, multilingual safety -3.16pp, image-to-text safety -9.29pp, over-refusal -9.60pp, and refusal tone +5.50%. The CBRN TCL in chemistry, radiology, and nuclear domains was not reached, and the harmful manipulation CCL and the ML R&D acceleration and automation CCL were also not reached.