开源模型长期网络能力差距缩小至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.   > **引用原帖 OpenAI (@OpenAI):** > GPT-5.6 Sol sets a new state of the art in cybersecurity on “The Last Ones” cyber range. > We’re already seeing that capability translate into defensive outcomes: helping teams find, validate, and fix vulnerabilities in real-world code. > Put it to work with Codex Security: https://t.co/Fvz9wpLjrt > https://x.com/OpenAI/status/2078243667081617826