The Frontier Model Forum is a non-profit industry body founded by Anthropic, Google, Microsoft and OpenAI to advance the safety and security of frontier AI models through best practices, research funding and information sharing.
网站月访问量估算
数据为该域名的 Similarweb 流量估算，不是活跃用户数。仅展示有数据的统计月份；采集时间与流量统计月份分别标注。
采集于 2026年11月11日
这是编辑给出的评估，满分 5 分，不是用户打分的平均值。 本页的各方观点由 AI 根据产品信息归纳，不是真实用户的评价。
根据 OpenAITools.app 于 2026-11-11 核对的流量数据，Frontier Model Forum（frontiermodelforum.org）是一个收录在 AI Models 下的 AI 平台，月访问量为 1.05万，月度环比流量变化为 +2649（+33.5%）。其主要地理市场为美国（93.6% 流量份额），采用定价请咨询定价模式。按月流量计算的主要竞争替代方案包括 Surge AI（24.51万次访问/月），Models.dev（20.05万次访问/月），LLM Price Check（8255 次访问/月）。
大厂联合搞的前沿AI安全规范组织，很有远见。
目前看还是发白皮书和开会居多，看后续落地吧。
对行业自律有一定推动作用。
雷声大雨点小，期待更多实际动作。
以下短评基于实时网页探查、定价机制与同类产品基准由 AI 综合模拟生成，旨在呈现不同使用场景下的常见槽点与亮点，非实名真实用户评价。
The Forum works to establish shared best practices for frontier AI safety and security, and to develop common understanding of threat models, evaluations, thresholds and mitigations.
It advances the science of AI safety evaluations, including methods for carrying out standardised and independent assessments of model capabilities and safety.
Focus areas include risks related to chemical, biological, radiological and nuclear weapons, advanced cyber threats, and advanced autonomous behaviour.
The Forum facilitates information sharing about frontier AI safety challenges among industry, academia, civil society and government.
Published material includes technical reports such as Frontier Capability Assessments, issue briefs, and formal comments on AI policy.
The Frontier Model Forum is a non-profit industry body founded by Anthropic, Google, Microsoft and OpenAI to advance the safety and security of frontier AI models through best practices, research funding and information sharing.
Use the Forum's technical reports and issue briefs as source material when writing AI safety, security or governance analysis.
Review emerging industry practices for evaluating capabilities such as CBRN risk, cyber threat potential and autonomy before deploying sensitive models.
Follow workstream output on AI-Bio, AI-Cyber, AI-Nuclear and AI Security to anticipate where standards and regulatory expectations are heading.
Reference published best practices and frameworks when explaining your own AI risk posture to stakeholders or boards.
同一分类下同类 AI 工具的流量并排对比
| 排名 | AI 工具 | 月访问量 | 月度环比增长 | 直接流量占比 | 定价 | 头对头 |
|---|---|---|---|---|---|---|
| ● | Frontier Model Forum | 1.05万 | +33.5% | 41% 直接流量 | 定价请咨询 | 当前产品 |
| 1 | Surge AI | 24.51万 | +6.6% | 53% 直接流量 | 定价请咨询 | 对比 Surge AI |
| 2 | Models.dev | 20.05万 | -3.9% | 68% 直接流量 | 免费 | 对比 Models.dev |
| 3 | LLM Price Check | 8255 | -34.7% | 39% 直接流量 | 免费 | 对比 LLM Price Check |
| 4 | Museum of Models（Rival） | 9187 | -35% | 40% 直接流量 | 免费 | 对比 Museum of Models（Rival） |
| 5 | LLMBoard.ai | 378 | 0% | 33% 直接流量 | 免费 | 对比 LLMBoard.ai |
| 6 | fast.ai | 25.07万 | -10.4% | 55% 直接流量 | 免费 | 对比 fast.ai |
免费 / 开源一站式对比各大厂商的 LLM API 词元价格
免费 / 开源免费档案库：每个 AI 模型如何回答同一百个问题
免费 / 开源独立的大模型排行榜：能力、价格、速度与基准测试
免费 / 开源responsible.ai is a platform and community centered on the responsible and ethical use of AI. It supports organizations and practitioners with self-assessment and evaluation tools, guidance on AI governance frameworks, and knowledge resources covering ethics, risk management and emerging regulation, aiming to make responsible adoption practical rather than abstract.
免费 / 开源responsible.ai is a platform and community centered on the responsible and ethical use of AI. It supports organizations and practitioners with self-assessment and evaluation tools, guidance on AI governance frameworks, and knowledge resources covering ethics, risk management and emerging regulation, aiming to make responsible adoption practical rather than abstract.
免费 / 开源免费 LLM 工具箱：成本计算、提示词与模型对比
专项更强专注人工创造力与约束型 AI 的研究机构
