开源模型长周期网络能力差距缩至4-7个月

On long-horizon cyber capability, leading open-weight models now trail the closed frontier by only 4 to 7 months, down from 6 to 10 months through much of 2025.

GLM-5.2 matched closed models released about 4 months earlier. On long-horizon cyber ranges, GLM-5.2 matched Claude Opus 4.5, released roughly 7 months earlier.

And also that long-horizon cyber capability can now be scaled with compute.

On the AI Security Institute’s 32-step “The Last Ones” range, GPT-5.6 Sol completed the full 32-step range in 7 of 10 attempts.

With a 100M-token budget for each run.

Performance continued improving as the model received more inference tokens. i.e. operators can gain materially stronger cyber capability simply by spending more runtime compute, without retraining the model.