网络攻防基准：开源模型 DeepSeek V4.1 Flash 追近 GPT-6
The gap between open and closed AI models in cyber capabilities keeps shrinking
Vals AI 测了 GPT-6 和 DeepSeek V4.1 的网络攻击能力，开源模型花十分之一的钱就追到只差 8 个百分点，做安全的得看看。
Vals AI 基准测试显示，OpenAI 的 GPT-6 Sol Daybreak 在模拟企业网络的渗透测试中达成 80.8% 的攻击目标。开源权重模型 DeepSeek V4.1 Flash 达到 72.8%，成本仅为前者的十分之一。分析人士指出，开源模型无法被限制访问，防御方的应对窗口正在快速缩小。
The gap between open and closed AI models in cyber capabilities keeps shrinking
In the Vals AI benchmark, OpenAI's GPT-6 Sol Daybreak hits 80.8 percent of attack objectives in simulated corporate networks. Worse, the open-weight model DeepSeek V4.1 Flash reaches 72.8 percent at a tenth of the cost. Because open models can no longer be restricted, analysts say the window for defenders is shrinking fast. The article The gap between open and closed AI models in cyber capabilities keeps shrinking appeared first on The Decoder .
