# Defined.ai vs Replicate AI

Defined.ai 记录了 146,251 月访问量，月度环比增长为 -21%，定价为定价请咨询。Replicate AI 记录了 904,038 月访问量，增长率为 -8.4%，定价为付费。

| 指标 | [Defined.ai](https://openaitools.app/zh/tool/definedcrowd-com) | [Replicate AI](https://openaitools.app/zh/tool/replicate-ai) |
| :--- | :--- | :--- |
| 官网地址 | https://defined.ai | https://replicate.com |
| 分类 | Other | AI API, AI Models, AI Developer Tools, Open Source AI Models |
| 定价模式 | 定价请咨询 | 付费 |
| 月访问量 | 146,251 | 904,038 |
| 月度环比增长率 | -21% | -8.4% |
| 主要市场 | 美国 | 美国 |
| 直接访问量 | 84,423 | 577,501 |
| 评价得分 | 4.4 | 4.6 |
| 收藏数 | 1 | 5 |
| 支持平台 | 网站 | 网站 |

## Defined.ai

Defined.ai 覆盖 AI 数据全生命周期，从数据寻源与采集，到标注、机器翻译、会话数据与模型评估。其 AI 数据市场提供覆盖音频、图像、视频、文本和多模态格式的开箱即用数据集，并支持高级筛选，让团队按内容类型、文件格式、采样率、位深等技术要求找到合适数据，随后索取免费样本与报价。

除了现成数据，Defined.ai 还提供定制服务：面向文本、音频、图像和视频的模型在环数据标注、全球数据采集、多语言机器翻译，以及追求自然且无偏见的会话式 AI 数据集。交付方式支持文件传输或 API，方便团队快速开始训练，服务按企业级标准在隐私、安全与合规方面定位。

公司强调伦理取材与治理：自称获得 ISO 27001、27701 与 42001 认证，符合 GDPR 与 HIPAA，并承诺公平的工作条件；其众包网络覆盖 150 多个国家、500 多种语言、方言和语区，拥有超过 160 万名专家。此外还提供面向多语言 AI 智能体支持的 Accelerat.ai。

**定价与套餐:** Defined.ai 不公开标准价目表，数据集与服务按项目报价。团队可以浏览数据市场、获取免费数据样本并索取报价，价格取决于数据集类型、定制程度、用量与交付方式。

- **AI 数据市场:** 提供覆盖音频、图像、视频、文本和多模态格式的大量合规来源数据集，支持高级筛选和免费样本。
- **数据标注与模型在环:** 面向文本、音频、图像和视频的专家验证标注，采用模型优先、人在回路的工作流，兼顾准确性与公平性。
- **机器翻译与多语言数据:** 面向全球 AI 系统的高质量多语言内容，覆盖 500 多种语言、方言和语区。
- **定制数据采集:** 面向训练的大规模全球化多样数据采集，每个数据集都经过隐私与安全审查。
- **数据与模型评估:** 对数据集和模型进行严格测试，确保上线前的准确性、公平性与质量。

**优势:** 拥有规模领先的开箱即用 AI 训练数据集市场之一; 提供从采集到标注、评估的全生命周期服务; 合规能力强（ISO 27001/27701/42001、GDPR、HIPAA）; 全球众包网络覆盖 150+ 国家、500+ 语言，超 160 万名专家

**局限:** 不公开标准定价，数据集与服务都需索取报价; 偏企业级，对小型业余项目可能偏重; 旧域名 definedcrowd.com 现在指向受限访问网关，而非公开产品页

[工具详情（Markdown）](https://openaitools.app/zh/tool/definedcrowd-com.md)

## Replicate AI

Replicate is a cloud API for running, fine-tuning, and deploying machine learning models. Spin up open-source and hosted models — from image, video, and audio generation to speech synthesis, captioning, and LLM inference — with one line of code, or package your own model with Cog and put it behind a production-ready API.

**定价与套餐:** Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

- **Thousands of models behind one API:** Run image, video, audio, speech, and language models through a uniform API surface, with official models for FLUX, Nano Banana, Seedream, Grok Imagine, MiniMax, Wan, Seedance, and more.
- **One-line-of-code inference:** Set up a model in minutes and make an API call in Python, Node, or plain HTTP after authenticating with an API token.
- **Cog packaging and custom deployments:** Package your own model with Cog, an open-source tool for packaging machine learning models, and deploy it on dedicated hardware that scales up and down with demand.
- **Model fine-tuning:** Fine-tune models on your own data, including fast-booting fine-tunes that are billed only while actively processing requests rather than for idle time.
- **Published hardware and inference rates:** Transparent per-second hardware rates across CPU, T4, L40S, A100, H100, and H200 configurations, with committed-spend options for multi-GPU capacity.

**优势:** Very broad model catalog spanning image, video, audio, speech, and LLMs behind one consistent API; Usage-based billing with openly published per-second hardware and per-output model rates; Cog makes it straightforward to package and deploy your own private models; Automatic scaling handles traffic spikes without manual capacity planning

**局限:** Costs are consumption-based and can rise quickly with heavy traffic or always-on private deployments; Private models bill for idle and setup time, not just request processing, unless they are fast-booting fine-tunes; Long-running GPU models can queue on shared public capacity during peak periods; It is an infrastructure layer, so you still need your own prompts, pipelines, and application code

[工具详情（Markdown）](https://openaitools.app/zh/tool/replicate-ai.md)

## 常见问题

### Defined.ai 和 Replicate AI 在月流量上如何比较？

Defined.ai 有 146,251 月访问量，而 Replicate AI 有 904,038。流量估算描述的是受众规模，而非产品质量。

### 它们的增长率如何比较？

Defined.ai 的月度环比增长率为 -21%；Replicate AI 为 -8.4%。

### 价格如何比较？

Defined.ai: 定价请咨询。Defined.ai 不公开标准价目表，数据集与服务按项目报价。团队可以浏览数据市场、获取免费数据样本并索取报价，价格取决于数据集类型、定制程度、用量与交付方式。 Replicate AI: 付费。Paid, usage-based — you only pay for what you use. Most public models are billed by runtime at per-second hardware rates; some models are billed per input and output (for example, $0.04 per output image on Flux 1.1 Pro, $3.75 per million input tokens on DeepSeek R1). Published GPU hardware ranges from about $0.81/hr for a T4 up to roughly $43.92/hr for 8x H100. Private deployments bill for setup, idle, and active time on dedicated hardware, and you can start for free. Enterprise and volume discounts available.

## 替代工具

| # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | 擅长跨多个提供商路由文本和多模态提示词，但缺乏 Replicate 专属的自定义 ML 部署功能。 | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) |
| 2 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 图片和视频模型的无服务器执行速度更快，但相比 Replicate，通用自定义模型部署能力稍弱。 | [.md](https://openaitools.app/zh/tool/fal-ai.md) |
| 3 | [ModelScope](https://openaitools.app/zh/tool/modelscope-community) | 3,085,423 | +5.1% | 免费 | ModelScope (魔搭社区) is an open-source AI community and model service platform that hosts thousands of pretrained models, datasets, and ready-to-run demos, backed by Alibaba Cloud infrastructure. | [.md](https://openaitools.app/zh/tool/modelscope-community.md) |
| 4 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 更专注于 LLM 推理和微调，但缺乏 Replicate 那样由社区策划的多样化媒体模型目录。 | [.md](https://openaitools.app/zh/tool/together-ai.md) |
| 5 | [Roboflow](https://openaitools.app/zh/tool/roboflow) | 1,431,204 | +6.6% | 免费增值，定价请咨询 | 简化了计算机视觉数据集标注和模型部署，但缺乏 Defined.ai 广泛的人工众包服务。 | [.md](https://openaitools.app/zh/tool/roboflow.md) |
| 6 | [Unsloth AI](https://openaitools.app/zh/tool/unsloth-ai) | 887,457 | -17.6% | 免费 | Specializes specifically in ultra-efficient model fine-tuning, rather than providing a general-purpose model hosting API. | [.md](https://openaitools.app/zh/tool/unsloth-ai.md) |
| 7 | [Bright Data](https://openaitools.app/zh/tool/bright-data) | 802,752 | -5.9% | 免费试用，付费 | 面向 AI 的网页数据基础设施：抓取、代理与数据集 | [.md](https://openaitools.app/zh/tool/bright-data.md) |
| 8 | [Atlas Cloud](https://openaitools.app/zh/tool/atlas-cloud) | 777,031 | -16.4% | 付费 | Offers a broad mix of generative media models via API, but lacks Replicate's massive community deployment ecosystem. | [.md](https://openaitools.app/zh/tool/atlas-cloud.md) |
| 9 | [Labelbox](https://openaitools.app/zh/tool/labelbox) | 762,803 | -22.8% | 定价请咨询 | 功能全面的企业级数据标注平台，并具备强大的自动化代理，但对小型团队而言价格成本较高。 | [.md](https://openaitools.app/zh/tool/labelbox.md) |
| 10 | [Fireworks](https://openaitools.app/zh/tool/fireworks-ai) | 659,687 | +6% | 定价请咨询 | 为开源模型提供极快的推理速度，但模型选择比 Replicate 窄。 | [.md](https://openaitools.app/zh/tool/fireworks-ai.md) |

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来源：https://openaitools.app/zh/compare/definedcrowd-com-vs-replicate-ai

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