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头对头基准测试
Dify vs Scale
Dify 记录了 819,691 月访问量，月度环比增长为 -15%，定价为免费增值。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
Dify 记录了 819,691 月访问量，月度环比增长为 -15%，定价为免费增值。Scale 记录了 616,915 月访问量，增长率为 +12.5%，定价为定价请咨询。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
| 主要市场与份额 | 🇨🇳 中国 (46.7%) | 🇺🇸 美国 (44.2%) |
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| 直接访问 / 月 | 47.06万 | 19.14万 |
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| 用户评分 | 4.8 | 4.7 |
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| 支持的平台 | 网站 | 网站 |
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构建、部署并治理可上生产的智能体 AI 工作流
可视化画布把检索、分支、工具调用、人工审核与模型步骤组织成清晰可测的执行路径，便于调试与交接。
通过对话或手动配置创建智能体，赋予其技能、工具与知识，然后发布为应用、嵌入组件或工作流中的可复用节点。
为文档、站点与云盘构建可重复的摄取流程，上线前完成抽取、清洗、分块、索引与检索测试。
模型供应商、工具、数据源与 MCP 集成安装一次即可在工作空间内的所有应用中复用。
Scale is an enterprise AI company that supplies the data, evaluation and deployment layers behind production AI. Its Data Engine sources and labels training data for frontier models, its evaluation work benchmarks model capability, and its platform teams help enterprises and governments move AI systems from pilot into real operations.
Human-sourced and expert-annotated training data, including specialist contributors with advanced degrees, at the quality bar frontier labs require.
Public leaderboards plus private benchmarks that test model capability and safety for the most ambitious AI developers.
Platform and services teams that pick the right use case, build the system and take ownership of the outcome.
Agentic systems designed around measurable business outcomes across private equity portfolios, energy and healthcare operations.
专项更强简化计算机视觉数据集标注与模型训练，但不太适合通用的 LLM 文本任务。
#3
免费 / 开源A self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
专项更强Provides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
专项更强在互联环境中跟踪、评估并交付 AI 模型与智能体。
免费 / 开源An open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
提供简化的无代码构建工具来部署自定义 AI 代理，但缺乏 Dify 的开源弹性。
免费 / 开源A self-hosted chat interface for running local LLMs, though lighter on complex visual workflow orchestration.
专注于企业级数据标注和训练数据整理，类似于 Scale 的核心标注业务。
专项更强Provides advanced programmatic frameworks for document parsing and RAG pipelines, but requires coding instead of visual canvases.
提供企业级多模态标注和数据管理工具，但对托管式标注人力的强调较少。
免费 / 开源An open-source automation platform combining visual flows with AI steps, though geared more towards general app integration.
专项更强Focuses on post-deployment LLM observability and evaluation rather than training data generation or annotation.
专为扩充多代理团队与 B2B 任务自动化而设计，不过对开源 RAG 管道的着墨较少。
