Open-weight models now match frontier cyber performance from just four months ago at a fraction of the cost
The British AI Security Institute reports that open-weight models such as GLM-5.2 and DeepSeek V4-Pro have reduced their cyber capability gap to four‑seven months behind closed‑source frontier models, down from six‑ten months earlier this year. The institute also notes that safety measures on these open models remain largely ineffective.
- Open-weight models GLM‑5.2 and DeepSeek V4‑Pro are now only four‑seven months behind frontier closed models in cyber tasks.
- The performance gap has shrunk from six‑ten months earlier in 2025.
- Safety measures on open-weight models remain weak, limiting defenders' response time.
- The report signals rising security concerns as open models become more capable.
The British AI Security Institute released a report comparing the cyber performance of open-weight AI models to that of leading closed‑source frontier models. It found that models like GLM‑5.2 and DeepSeek V4‑Pro now trail the top closed models by only four to seven months, a significant improvement from the six to ten month gap observed at the start of 2025.
The analysis highlights that while the performance gap is narrowing, the safety mechanisms applied to these open models are still largely ineffective, giving defenders less time to respond to potential threats. The institute warns that the rapid progress of open-weight models could increase the attack surface if proper safeguards are not implemented.
These findings underscore the growing relevance of open-weight AI in cybersecurity contexts and suggest a need for stronger safety protocols and monitoring as these models become more capable.
Understanding the narrowing gap helps developers anticipate security challenges when integrating open-weight models.
Companies must reassess risk management as open AI tools become more potent in cyber contexts.
Investors may see increased interest in security solutions targeting open-weight AI vulnerabilities.
The study warns that faster‑advancing open AI models could pose new cyber threats without adequate safeguards.
- open-weight models
- AI models whose weights are publicly available for use and modification.
- closed frontier models
- Proprietary, high‑performance AI models not publicly released.
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