OpenAI 发布 GPT-6 Astra 系统卡增补：GPT-6.1 Sol
Addendum to GPT-6 Astra System Card: GPT-6.1 Sol
OpenAI 发布 GPT-6 Astra 系统卡增补，针对 GPT-6.1 Sol。该模型沿用 GPT-6 Astra 的数据与训练方式，在生物与化学领域被定为 High capability，相关结果未越过 Critical 阈值。在网络安全生产聊天评测中，GPT-6.1 Sol 优于此前所有模型，但在合成与半合成智能体环境中相较 GPT-5.6 Sol 出现小幅退步。
系统卡增补披露了 GPT-6.1 Sol 在生物化学与网络安全能力评测中的表现，可对照前代模型看安全边界变化。
2. Model Data and Training
GPT-6.1 Sol uses the same types of data and training as GPT-6 Astra, described in the GPT-6 Astra 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
9.1.1 Biological and Chemical Capabilities
We are treating GPT-6.1 Sol as High capability in the Biological and Chemical domain. Below, we report results for GPT-6.1 Sol on our High capability evaluations as well as results for our Critical capability evaluations. GPT-6.1 Sol’s reported results did not cross the indicative Critical thresholds.
For a full description of these evaluations, please see the Biological and Chemical Capabilities section in the GPT-6 Astra card.
9.2.1 Model Safety Training and Evaluation
9.2.1.1 Biological and Chemical Safety Training and Evaluation
In biology refusal evaluations, GPT-6.1 Sol performs comparably to GPT-6 Sol in the severe and dual-use categories, while refusing fewer benign prompts. These results reflect model responses alone, without our full production safeguards.
9.2.1.2 Cybersecurity Safety Training and Evaluation
On the cybersecurity safety evaluations, GPT-6.1 Sol outperforms all our previous models in production-chat evaluations. Compared to GPT-5.6 Sol, GPT-6.1 Sol shows modest regressions in synthetic and semi-synthetic agentic environments. Model refusal remains one layer of our safety stack, alongside additional safeguards that enforce the safety boundary through defense in depth.
来源：OpenAI 部署安全与系统卡 · deploymentsafety.openai.com