# ModelsLab vs Runware

ModelsLab 记录了 74,376 月访问量，月度环比增长为 -26.2%，定价为免费增值，付费。Runware 记录了 402,862 月访问量，增长率为 +27.1%，定价为付费。

| 指标 | [ModelsLab](https://openaitools.app/zh/tool/modelslab) | [Runware](https://openaitools.app/zh/tool/runware) |
| :--- | :--- | :--- |
| 官网地址 | https://modelslab.com | https://runware.ai |
| 分类 | AI API, AI Developer Tools, AI Image Generator, AI Video Generator | AI API, AI Image Generator, Text to Image, AI Models |
| 定价模式 | 免费增值，付费 | 付费 |
| 月访问量 | 74,376 | 402,862 |
| 月度环比增长率 | -26.2% | +27.1% |
| 主要市场 | 法国 | 美国 |
| 直接访问量 | 36,910 | 189,796 |
| 评价得分 | 4.3 | 4.5 |
| 收藏数 | 41 | 0 |
| 支持平台 | 网站 | 网站 |

## ModelsLab

ModelsLab 是面向需要多种生成式 AI、却不想管理多家供应商的团队打造的 API 优先平台。它聚合了 10,000 多个模型，涵盖文生图、图像编辑与修补、超分辨率放大、文生视频与图生视频、文本转语音、语音克隆、音乐与音效、3D 生成，以及对话与推理 LLM。这些全部位于单个 API 密钥与统一 JSON 结构之后，应用可从一个模型起步，无需更改集成即可扩展到其他模型。

典型流程是“搜索、测试、构建”。你可按任务检索模型库，在演练场试用提示以比较输出，找到合适模型后再用单个 REST 密钥，或通过所提供的 SDK、CLI 与 MCP 服务器从应用中调用。这种对智能体友好的设计，让 Cursor、Claude Desktop、Windsurf 或 VS Code 等工具能直接调用图像、视频、语音与推理工具。生产环境功能包括逐请求日志、长时间任务的 webhook，以及宣称 99.9% 的可用性。

除调用托管模型外，ModelsLab 还支持在其 GPU 上训练自有模型、在共享容量上无限量运行开源模型，或预留专属 GPU 以保持稳定吞吐量。价格从每月 21 美元起，开源无限量方案从每月 149 美元起，专属 GPU 从每月 249 美元起，适合处于原型阶段的初创团队与大规模交付 AI 功能的团队。

**定价与套餐:** 提供免费方案；标准方案从每月 21 美元起，开源无限量生成从每月 149 美元起，专属 GPU 从每月 249 美元起。企业与定制训练选项可另行询价。

- **10,000+ 模型，一个 API:** 用单个 API 密钥与统一 JSON 结构访问图像、视频、音频、3D 和文本模型，无需在多家供应商之间周旋。
- **演练场与对比:** 按任务浏览 10,000+ 模型、比较输出、在演练场测试提示，再用同一套集成从应用中调用该模型。
- **共享或专属 GPU:** 在共享基础设施上运行开源模型，或预留专属 GPU 以获得可预期吞吐量与无限量生成。
- **模型训练:** 在平台 GPU 上训练微调、克隆语音，并按产品、品牌或风格定制模型。
- **MCP、SDK 与 CLI:** 通过 Model Context Protocol 服务器、类型安全 SDK 或 CLI 接入，让 AI 编辑器和智能体无需胶水代码即可调用生成工具。
- **请求日志与 webhook:** 以状态和延迟追踪每个请求，并在较长的视频或音频任务完成时通过 webhook 收到通知。

**优势:** 用单个 API 密钥与统一结构覆盖图像、视频、音频、3D 与 LLM 模型; 超过 10,000 个模型的丰富目录，并提供写代码前比较输出的演练场; MCP 服务器、SDK 与 CLI 让 AI 编程智能体和自动化接入更轻松

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

### ModelsLab 和 Runware 在月流量上如何比较？

ModelsLab 有 74,376 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？

ModelsLab 的月度环比增长率为 -26.2%；Runware 为 +27.1%。

### 价格如何比较？

ModelsLab: 免费增值，付费。提供免费方案；标准方案从每月 21 美元起，开源无限量生成从每月 149 美元起，专属 GPU 从每月 249 美元起。企业与定制训练选项可另行询价。 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 | [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 | 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) |
| 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 | [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) |
| 10 | [Flaq AI](https://openaitools.app/zh/tool/flaq-ai-api-platform) | 328,715 | +127.9% | 付费 | 一把 API 密钥，直连主流图像、视频与语言模型 | [.md](https://openaitools.app/zh/tool/flaq-ai-api-platform.md) |

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来源：https://openaitools.app/zh/compare/modelslab-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)