Addendum to GPT-6 Luna System Card: October 29, 2026 Update
Addendum to GPT-6 Luna System Card: October 29, 2026 Update
GPT-6 Luna (October 28) uses the same data and training methods as GPT-6 Luna (October 7), but the performance comparison values may reflect subsequent versions. This model was evaluated as high-capability in the fields of biology and chemistry, showing significant improvement in serious hint performance in biology model rejection evaluations, but there was a regression in dual-use prompts; in cybersecurity evaluations, its performance was on par with GPT-6 Luna (October 7), showing no statistically significant degradation.
2. Model Data and Training
GPT-6 Luna (October 28) uses the same types of data and training as GPT-6 Luna (October 7), described in the GPT-6 Luna (October 7) card.
For previously launched models, the values published at launch reflect the versions evaluated at that time. The comparison values for previously launched models that are shown here may reflect later versions of those models, and may vary from the values published at launch.1
8.1.1 Biological and Chemical Capabilities
We are treating GPT-6 Luna (October 28) as High capability in the Biological and Chemical domain. Below, we report updated results on our High and Critical capability evaluations. For a full description of these evaluations, please see the Biological and Chemical Capabilities section in GPT-6 Astra System Card.
8.2.1 Model Safety Training and Evaluation
8.2.1.1 Biological and Chemical Safety Training and Evaluation
On the biology model refusal evaluations, GPT-6 Luna (October 28) improves for severe prompts, and regresses on dual use prompts.
8.2.1.2 Cybersecurity Safety Training and Evaluation
On the cybersecurity safety evaluations, GPT-6 Luna (October 28) performs on par with GPT-6 Luna (October 7) with no statistically significant regressions.
Source: OpenAI Deployment Safety · deploymentsafety.openai.com