Artificial Analysis 将受限访问模型纳入 Cyber Index，GPT-6 Sol (Daybreak Blue) 登顶
Introducing trusted-access models to the Artificial Analysis Cyber Index | Artificial Analysis
Artificial Analysis 宣布扩展其 Cyber Index，首次纳入通过 OpenAI Daybreak 计划提供的受限访问模型 GPT-6 Sol (Daybreak Blue, max)，该模型登顶榜单并进入成本与能力帕累托前沿。其整体得分比公开可用的 GPT-6 Sol (max) 高 32 分，全榜未触发安全拦截，每任务成本 1.77 美元，低于 Grok 4.7 (xhigh) 的 11.67 美元。相比公开版本，Daybreak Blue 在安全拒答最多的 CyberGym-E2E 上提升最大。
推荐理由
AI 评分 57
Artificial Analysis 把受限访问模型纳入 Cyber Index，读者可了解前沿网络攻防能力评测口径的变化。
主题
正文
当前显示原文，中文全文译文尚未就绪。
All articles
October 8, 2026
GPT-6 Sol (Daybreak Blue) now leads the Cyber Index
The Artificial Analysis Cyber Index Alliance brings together industry partners to evaluate how AI models perform on enterprise cyber defense tasks. The Index launched with only publicly accessible models, giving users the best indication of publicly available capability on agentic cyber defense. Now, we’re expanding the leaderboard to include models with fewer cyber guardrails, providing a broader view of frontier model cyber capability. The first of these is GPT-6 Sol (Daybreak Blue, max) which is only accessible through OpenAI’s Daybreak program
GPT-6 Sol (Daybreak Blue, max) now leads the Index and sits on the Cost vs. Capability Pareto frontier. It hits no safety blocks across the entire Index, with its overall score improving by 32 points over the publicly available GPT-6 Sol (max)
At a Cost per Task of $1.77, it is more cost-effective than other leading models, including Grok 4.7 (xhigh) which costs $11.67 per task
Compared to the publicly available GPT-6 Sol, the Daybreak Blue model has the largest gains on CyberGym-E2E, which is the benchmark where we observe the most safety refusals
We will continue to expand the Artificial Analysis Cyber Index to cover both publicly available and trusted-access models
Artificial Analysis Decision Index v1.0
The Artificial Analysis Decision Index benchmarks decision models, a new category of models that answer structured decisions in a single call with a probability for each option. Version 1.0 combines four evaluations across classification, tool calling, knowledge, hallucination, and reasoning.
October 13, 2026
Announcing AA-3D: a benchmark for AI models building interactive 3D experiences
AA-3D is a new benchmark of how well AI models build interactive 3D experiences. Each model turns a written brief into a working three.js scene in an offline sandbox, and our recruited panel compares the scenes in blind pairwise votes.
October 12, 2026
Announcing FrontierCode on Artificial Analysis: can AI models write code maintainers would merge?
Cognition's FrontierCode 1.1 tests whether AI models make code changes that maintainers of real open source repositories would merge. Leading models still fail more than 40% of the time.
October 12, 2026
Artificial Analysis
Get notified about new articles
About; Methodology; Contact; Articles; Careers