# MuAPI vs Runware

MuAPI 记录了 412,788 月访问量，月度环比增长为 +13.7%，定价为免费增值。Runware 记录了 402,862 月访问量，增长率为 +27.1%，定价为付费。

| 指标 | [MuAPI](https://openaitools.app/zh/tool/muapi) | [Runware](https://openaitools.app/zh/tool/runware) |
| :--- | :--- | :--- |
| 官网地址 | https://muapi.ai | https://runware.ai |
| 分类 | AI API, AI Image Generator, AI Video Generator, Text to Image | AI API, AI Image Generator, Text to Image, AI Models |
| 定价模式 | 免费增值 | 付费 |
| 月访问量 | 412,788 | 402,862 |
| 月度环比增长率 | +13.7% | +27.1% |
| 主要市场 | 印度 | 美国 |
| 直接访问量 | 227,351 | 189,796 |
| 评价得分 | 4.3 | 4.5 |
| 收藏数 | 0 | 0 |
| 支持平台 | 网站 | 网站 |

## MuAPI

许多构建生成式 AI 功能的团队最终要同时管理多家供应商，每家都有自己的密钥、配额制度和 API 形式。MuAPI 把这些整合成一次集成：一个端点将请求路由到你指定的模型并返回一致格式的响应。它覆盖图像生成与编辑、从文本或静态图片生成视频，以及音频与音乐生成，因此产品只需指向另一个模型就能增加能力，而不必引入新的供应商。

平台明显面向开发者。文档、API 密钥、接近 SDK 的工作流、CLI 以及供智能体工具使用的 MCP 服务器，配合可快速测试提示词的交互式工作室。排名与模型排行榜有助于判断某个模型是否值其价格，工作流与智能体功能则支持串联模型，例如先生成静态图再在下一步做成动画。

计费采用以 token 与任务为单位的额度制而非坐席制；官方以比直接调用供应商更低的成本作为定位，并表示失败任务不计费。新模型上线速度很快，请把模型目录视为不断变化的清单，并在确定生产预算前核实定价页面。

**定价与套餐:** 采用按量付费（pay-as-you-go）的额度制，并提供用于实验的免费额度；官方标榜所有模型共用同一余额、失败任务不计费。各模型实际费率变动频繁，请以定价页面为准。

- **一个 API 调用数百个媒体模型:** 以同一套认证与计费使用文生图、图生视频、文生视频、放大、去背景、换脸和对口型功能。
- **按模型进行多供应商路由:** 针对特定模型选择最便宜或最快的供应商，无需重写集成，并可随价格与质量变化切换。
- **模型排名与开发者文档:** 通过公开排名与排行榜比较模型、阅读详细文档，并以 CLI 或 MCP 服务器接入智能体工作负载。
- **工作室、工作流与智能体:** 构建多步骤流水线、在交互式工作室测试提示词，并用智能体或工作流功能串联多个模型产出最终素材。
- **按量计费的额度和单一账单:** 以单一余额按请求付费，据官方说明失败任务不收费，无需为每个模型供应商管理最低消费。

**优势:** 数百个图像、视频和音频模型共用一把密钥、一个余额与一致的请求格式; 无需为每个想尝试的模型单独引入和管理供应商; 明确主打成本优势，据官方说明失败任务不计费; 开发者能力完整：文档、CLI、MCP 服务器、集成与状态页

**局限:** 将 API 集成到产品中仍需要开发能力; 各模型行为与参数不同，切换模型并非总是即插即用; 成本随用量上升，比固定订阅更难做预算; 功能页面与模型可用性变化很快，文档可能滞后

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

## 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)

## 常见问题

### MuAPI 和 Runware 在月流量上如何比较？

MuAPI 有 412,788 月访问量，而 Runware 有 402,862。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？

MuAPI 的月度环比增长率为 +13.7%；Runware 为 +27.1%。

### 价格如何比较？

MuAPI: 免费增值。采用按量付费（pay-as-you-go）的额度制，并提供用于实验的免费额度；官方标榜所有模型共用同一余额、失败任务不计费。各模型实际费率变动频繁，请以定价页面为准。 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.

## 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 | 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) |
| 2 | [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) |
| 3 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 提供类似的开发者优先云端平台以进行超快速生成式多媒体推理，但定价级别有所不同。},{de: | [.md](https://openaitools.app/zh/tool/fal-ai.md) |
| 4 | [Kie.ai](https://openaitools.app/zh/tool/kie-ai-affordable-secure-deepseek-r1-api) | 2,275,553 | -22.4% | Pay-as-you-go | Multi-model AI API gateway for calling video, image, music, and chat models via one key. | [.md](https://openaitools.app/zh/tool/kie-ai-affordable-secure-deepseek-r1-api.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 | 提供相近的无服务器模型部署与微调，但具备更广泛的通用机器学习生态系统。},{de: | [.md](https://openaitools.app/zh/tool/replicate-ai.md) |
| 7 | [Atlas Cloud](https://openaitools.app/zh/tool/atlas-cloud) | 777,031 | -16.4% | 付费 | 提供了生成式媒体模型的统一访问，但缺乏 Runware 对原始推理速度的专注。 | [.md](https://openaitools.app/zh/tool/atlas-cloud.md) |
| 8 | [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) |
| 9 | [Flaq AI](https://openaitools.app/zh/tool/flaq-ai-api-platform) | 328,715 | +127.9% | 付费 | Unified API gateway providing developer access to diverse image, video, voice, and 3D models. | [.md](https://openaitools.app/zh/tool/flaq-ai-api-platform.md) |
| 10 | [Pollinations](https://openaitools.app/zh/tool/pollinations) | 316,875 | +22.8% | 免费 | Open-source infrastructure project providing a single API to generate images, video, speech, music, and text. | [.md](https://openaitools.app/zh/tool/pollinations.md) |

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

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)