# Runware vs UserAPI.ai

Runware 记录了 402,862 月访问量，月度环比增长为 +27.1%，定价为付费。UserAPI.ai 记录了 5,163,985 月访问量，增长率为 +1.6%，定价为免费增值，付费。

| 指标 | [Runware](https://openaitools.app/zh/tool/runware) | [UserAPI.ai](https://openaitools.app/zh/tool/userapi-ai) |
| :--- | :--- | :--- |
| 官网地址 | https://runware.ai | https://userapi.ai |
| 分类 | AI API, AI Image Generator, Text to Image, AI Models | AI API, AI Image Generator, Text to Image, AI Developer Tools |
| 定价模式 | 付费 | 免费增值，付费 |
| 月访问量 | 402,862 | 5,163,985 |
| 月度环比增长率 | +27.1% | +1.6% |
| 主要市场 | 美国 | 美国 |
| 直接访问量 | 189,796 | 3,806,959 |
| 评价得分 | 4.5 | 4.2 |
| 收藏数 | 0 | 1 |
| 支持平台 | 网站 | 网站 |

## Runware

Runware is an AI inference platform that exposes an enormous model catalog — images, video, audio, LLMs and 3D — through a single API endpoint, alongside serverless GPU compute and reserved capacity running on modular data centers the company designs and operates itself. It is aimed at developers and product teams who want to ship generative features without managing infrastructure.

**定价与套餐:** Pay-as-you-go with no subscription required. Managed inference is billed per generation, per second of video, per character of audio, or per 1M tokens for LLMs; published rates include examples such as FLUX 3 Image Klein from about $0.003 per image and GLM-5.3-Flash at $0.15 per 1M input tokens. Serverless GPU compute is metered by the second (RTX PRO 6000 listed around $1.99 per GPU-hour) and scales to zero; reserved capacity is advertised as low as $0.63 per GPU-hour on term commitments, with dedicated bare-metal clusters available from 72 GPUs. Failed or rate-limited requests are not charged, new users signing up with a business email receive $2 in free credits, and volume discounts are available via sales.

- **One API for every modality:** Image, video, audio, LLM and 3D tasks all POST to a single endpoint as an array, so mixed-modality batches can travel in one request with shared auth and billing.
- **400K+ model catalog:** Browse hosted, partner and community models through one addressing scheme, control parameters such as stacked LoRAs and swapped VAEs on open models, and add your own uploads.
- **Serverless and reserved GPU compute:** Bring your own container and weights to serverless GPUs billed by the second that scale to zero when idle, or commit to reserved capacity and bare-metal clusters for a lower per-hour rate.
- **Sonic Pods and the Sonic Inference Engine:** Purpose-built modular data centers plus an orchestration layer that keeps weights preloaded across regions and routes requests to pods that already hold the model in memory.
- **Developer tooling and agent integrations:** A hosted MCP server, CLI, skill files, playground, model schemas and llms.txt let you wire Runware into Claude Code, Cursor, Codex or any MCP-capable client with minimal setup.
- **Enterprise-grade trust and compliance:** SOC 2, ISO 27001 and GDPR compliance, EU and US data residency, SSO/SAML, configurable MFA, a strict no-training-on-customer-data policy and optional Zero Data Retention.

**优势:** Unusually broad catalog — hundreds of thousands of models behind one consistent endpoint and API key; Aggressive published pricing, with claims of up to 10x lower cost per generation than market rates; Both managed inference and raw compute in one platform, so you can migrate from API calls to your own containers without changing vendors; Real infrastructure differentiation through self-designed modular data centers rather than reselling someone else's capacity

**局限:** The breadth of the catalog and the mix of hosted, partner and community models can be overwhelming when choosing a model; Only a subset of models (currently around 300+) has published pricing on the rate sheet, so some community models require checking the playground for cost; LLM billing splits input, output and cache-read token dimensions, adding complexity to cost forecasting; Bare-metal and high-volume reserved capacity are sales-gated rather than self-serve

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

## UserAPI.ai

Midjourney 没有公开的官方 API，因此想把图像生成嵌入自家产品的团队通常需要变通方案。UserAPI.ai 以独立的非官方 API 填补这一空白：它接收提示并返回生成图像，把熟悉的 Midjourney 方法暴露为可被后端调用的 REST 端点。

有两种生成方式。使用你自己的 Midjourney 账户时，你只需一次性添加 Discord token，并向 Midjourney 支付你的方案费用；UserAPI 访问按每次请求 0.04 美元或每月 25 美元计费，当每月图像量达到数百张以上时更划算，并支持快速模式与多账户。使用 UserAPI Cloud 时无需 Midjourney 订阅，也无需 Discord token——生成在 UserAPI 的账户上运行，每张图 0.08 美元，失败任务自动退款，是快速测试的方式。

服务支持 Midjourney 核心工具集：Imagine、Upscale、Variation、Blend、Describe、Animate、Upsample、Pan 与 Inpaint。它提供文档、Python/Node.js/PHP 代码示例，以及 n8n 与 Make.com 的无代码集成。它明确声明与 Midjourney Inc. 无关，因此在把它用于生产前，请评估非官方接入的账户与可靠性风险。

**定价与套餐:** UserAPI.ai 提供 50 次请求的免费包，无需信用卡。使用你自己的 Midjourney 账户时，每次请求 0.04 美元或每月 25 美元（或每季度 67.50 美元、每年 246 美元）；UserAPI Cloud 在 UserAPI 的账户上运行，每张图 0.08 美元，相比 0.20 美元的首发价打 6 折，3 美元起（约 37 张图），失败任务自动退款。

- **覆盖 Midjourney 全部核心方法:** 通过 REST API 调用 Imagine、Upscale、Variation、Blend、Describe、Animate、Upsample、Pan 与 Inpaint，实现脚本化图像生成。
- **免 Discord 的云端生成:** 在 UserAPI Cloud 账户上运行，无需 Midjourney 订阅或 Discord token，失败任务自动退款。
- **多账户管理后台:** 在单一管理面板中管理多个图像生成账户、调度与密钥。
- **代码示例与无代码集成:** 提供 Python、Node.js、PHP 现成示例，并有 n8n 与 Make.com 自动化官方集成。
- **免费包与灵活方案:** 从 50 次请求的免费包开始，随用量增长转向按次付费或月度方案。

**优势:** 在没有官方 API 的情况下把 Midjourney 图像生成带入自己的应用; Cloud 选项无需 Midjourney 订阅与 Discord token; 覆盖主要 Midjourney 方法，包括 Inpaint、Blend 与 Animate; 提供 Python、Node.js、PHP 示例及 n8n、Make.com 集成

**局限:** 它是非官方 API，与 Midjourney 无关联，依赖其无法控制的平台行为; 使用自有 Midjourney 账户仍需 Midjourney 订阅与 Discord token; 由于依赖 Discord 账户，自动化使用存在账户风险考量; 云端按图计价，在高用量下会累积

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

## 常见问题

### Runware 和 UserAPI.ai 在月流量上如何比较？

Runware 有 402,862 月访问量，而 UserAPI.ai 有 5,163,985。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？

Runware 的月度环比增长率为 +27.1%；UserAPI.ai 为 +1.6%。

### 价格如何比较？

Runware: 付费。Pay-as-you-go with no subscription required. Managed inference is billed per generation, per second of video, per character of audio, or per 1M tokens for LLMs; published rates include examples such as FLUX 3 Image Klein from about $0.003 per image and GLM-5.3-Flash at $0.15 per 1M input tokens. Serverless GPU compute is metered by the second (RTX PRO 6000 listed around $1.99 per GPU-hour) and scales to zero; reserved capacity is advertised as low as $0.63 per GPU-hour on term commitments, with dedicated bare-metal clusters available from 72 GPUs. Failed or rate-limited requests are not charged, new users signing up with a business email receive $2 in free credits, and volume discounts are available via sales. UserAPI.ai: 免费增值，付费。UserAPI.ai 提供 50 次请求的免费包，无需信用卡。使用你自己的 Midjourney 账户时，每次请求 0.04 美元或每月 25 美元（或每季度 67.50 美元、每年 246 美元）；UserAPI Cloud 在 UserAPI 的账户上运行，每张图 0.08 美元，相比 0.20 美元的首发价打 6 折，3 美元起（约 37 张图），失败任务自动退款。

## 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 | [OpenAI 平台](https://openaitools.app/zh/tool/openai) | 234,678,639 | -9.6% | 付费 | 用于部署 GPT-6 Astra、Sol、Luna 以及实时多模态智能体的企业级开发者平台与 API。 | [.md](https://openaitools.app/zh/tool/openai.md) |
| 2 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | 一个 API 密钥，调用各大厂商数百个 AI 模型 | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) |
| 3 | [RunningHub](https://openaitools.app/zh/tool/runninghub) | 3,105,554 | -28.5% | 免费增值 | RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs. | [.md](https://openaitools.app/zh/tool/runninghub.md) |
| 4 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 一个 API 接入 1500+ 生产级生成式媒体模型 | [.md](https://openaitools.app/zh/tool/fal-ai.md) |
| 5 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 更专注于开源 LLM 托管与专用集群，但对即时图片生成的针对性稍弱。 | [.md](https://openaitools.app/zh/tool/together-ai.md) |
| 6 | [Replicate AI](https://openaitools.app/zh/tool/replicate-ai) | 904,038 | -8.4% | 付费 | 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 | [.md](https://openaitools.app/zh/tool/replicate-ai.md) |
| 7 | [Agnes AI](https://openaitools.app/zh/tool/agnes-ai) | 902,184 | -25.8% | 免费增值 | 一个免费 API，调用文本、图像与视频模型 | [.md](https://openaitools.app/zh/tool/agnes-ai.md) |
| 8 | [Atlas Cloud](https://openaitools.app/zh/tool/atlas-cloud) | 777,031 | -16.4% | 付费 | 一个兼容 OpenAI 的 API，接入 500+ 图像、视频、音频与大模型 | [.md](https://openaitools.app/zh/tool/atlas-cloud.md) |
| 9 | [DeepInfra](https://openaitools.app/zh/tool/deep-infra) | 457,810 | -8.9% | 付费 | 擅长低成本的开源权重模型推理，但针对复杂图片生成管线的专门工具较少。 | [.md](https://openaitools.app/zh/tool/deep-infra.md) |
| 10 | [MuAPI](https://openaitools.app/zh/tool/muapi) | 412,788 | +13.7% | 免费增值 | 一个 API 调用所有生成式图像、视频与音频模型 | [.md](https://openaitools.app/zh/tool/muapi.md) |

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来源：https://openaitools.app/zh/compare/runware-vs-userapi-ai

更多 Markdown 页面: [分类](https://openaitools.app/zh/categories.md) · [流量排名](https://openaitools.app/zh/rankings.md) · [llms.txt](https://openaitools.app/zh/llms.txt)