Stable Diffusion（Stability AI）记录了 341,872 月访问量，月度环比增长为 +1.2%，定价为免费增值，定价请咨询。TypeSafe AI - Jev 记录了 6,148,688 月访问量，增长率为 -36.4%，定价为付费。
面向图像、视频、音频与 3D 的开放生成模型
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | stability.ai | typesafe.ai |
| 定价模式 | 免费增值，定价请咨询 | 付费 |
| 月访问量 | 34.19万 (341,872) | 614.87万 (6,148,688) |
| 月度环比流量变化 | +3940 (+1.2%) | -351.3万 (-36.4%) |
| 主要市场与份额 | 🇺🇸 美国 (20.4%) | 🇺🇸 美国 (26.4%) |
| 直接访问 / 月 | 13.44万 | 314.11万 |
| 用户评分 | 4.7 | 4.2 |
| 支持的平台 | 网站 | 网站 |
面向图像、视频、音频与 3D 的开放生成模型
使用让 Stable Diffusion 广为人知的模型系列，为营销、产品图与创意项目生成并编辑高质量图像。
创建并编辑视频，包括面向游戏与娱乐沉浸式世界的 3D 与 4D 视频模型。
使用 Stable Audio 模型系列制作音乐、音景与音效，并提供基于授权数据训练的开放权重版本。
通过托管 API 把可用于生产的媒体生成能力集成到自己的产品中，无需自建基础设施。
TypeSafe AI is an AI lab building machine-native intelligence infrastructure, and Jev is its first System One Model — a model designed to make decisions inside software rather than reply to humans. Instead of returning strings, Jev accepts structured questions and returns typed decisions with calibrated confidence scores, so applications can act autonomously when confidence is high and escalate for human review when it is not. TypeSafe reports roughly 193x faster and 444x cheaper performance on System One workloads compared with general-purpose LLMs.
Jev outputs typed decisions that application code can act on directly, rather than prose that must be parsed and interpreted.
Every decision carries an estimate of how confident the model is, so you can set thresholds for autonomous action versus human escalation.
TypeSafe reports Jev at roughly 193x faster and 444x cheaper than LLM-based workflows on comparable System One tasks, with a price of $42 per billion input tokens.
Because confidence estimates expose uncertainty, Jev is designed to avoid hallucination-style failures in automation, enabling zero-hallucination decision paths where confidence is high.
Google 的快速原型开发 IDE 与开发者 API 工作台，用于构建基于 Gemini 模型的多模态应用。
提供明显更快的推理速度与对开发者友好的无服务器 API，但缺乏像 Civitai 那样的原生模型训练工具。
提供针对开源模型的强大云端托管与微调功能，不过比起专门的推理引擎，通常延迟会高一些。
通过统一的 API 提供更广泛的托管开源模型，但缺乏社区分享功能。
免费 / 开源Provides an open-source framework for building agent workflows, but requires manual implementation of calibrated decision-scoring logic.
