# RunningHub vs Runware

RunningHub 每月有 3,105,554 次造訪，月增率 -28.5%，定價模式為免費增值。Runware 每月有 402,862 次造訪，成長率 +27.1%，定價模式為付費。

| 指標 | [RunningHub](https://openaitools.app/tw/tool/runninghub) | [Runware](https://openaitools.app/tw/tool/runware) |
| :--- | :--- | :--- |
| 網站網址 | https://www.runninghub.ai | https://runware.ai |
| 分類 | AI 應用程式建構器, AI Workflow, AI 圖像生成器, AI 開發者工具 | AI API, AI 圖像生成器, Text to Image, AI 模型 |
| 定價模式 | 免費增值 | 付費 |
| 每月造訪次數 | 3,105,554 | 402,862 |
| 月成長率 | -28.5% | +27.1% |
| 主要市場 | 中國 | 美國 |
| 直接造訪 | 2,297,199 | 189,796 |
| 評論分數 | 4.4 | 4.5 |
| 收藏數 | 2 | 0 |
| 支援平台 | 網站 | 網站 |

## RunningHub

RunningHub is a cloud platform for running ComfyUI workflows online, building AI apps, and generating images and videos with hosted models and APIs.

**價格與方案:** Freemium with daily free credits and pay-as-you-go credits; subscription tiers unlock higher concurrency, member discounts, and advanced models. API usage is priced separately.

- **Cloud ComfyUI:** Run, import, and share ComfyUI workflows in the cloud without local GPU hardware.
- **AI Apps Builder:** Publish a workflow as a single-click AI app that anyone can run with simple inputs.
- **Image & Video Generation:** Use hosted image and video models, including self-developed upscaling and enhancement tools, from one dashboard.
- **Developer APIs:** Integrate generation into your product via workflow, model, LLM, and app APIs.
- **Template Library & Community:** Explore a gallery of community workflows, viral video templates, and creator rewards.

**限制:** Complex workflows have a learning curve; Credit-based costs add up for heavy video generation; Best experience assumes some ComfyUI familiarity

[Profile (Markdown)](https://openaitools.app/tw/tool/runninghub.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.

**價格與方案:** 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.

**優勢:** 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

**限制:** 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

[Profile (Markdown)](https://openaitools.app/tw/tool/runware.md)

## 常見問題

### RunningHub 與 Runware 的每月流量相比如何？

RunningHub 每月有 3,105,554 次造訪，而 Runware 有 402,862。流量估算反映受眾規模，並非產品品質。

### 兩者的成長率相比如何？

RunningHub 的月增率為 -28.5%；Runware 為 +27.1%。

### 價格相比如何？

RunningHub：免費增值。Freemium with daily free credits and pay-as-you-go credits; subscription tiers unlock higher concurrency, member discounts, and advanced models. API usage is priced separately. Runware：付費。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.

## 替代方案

| # | 工具名稱 | 每月造訪次數 | 月成長率 | 定價模式 | Summary | Profile (Markdown) |
| :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 1 | [Adobe Firefly](https://openaitools.app/tw/tool/adobe) | 396,998,213 | -8.6% | 免費增值 | 可安全商用的生成式 AI 工作空間，涵蓋影像、影片、音訊、向量與多模型創意生產。 | [.md](https://openaitools.app/tw/tool/adobe.md) |
| 2 | [Higgsfield](https://openaitools.app/tw/tool/higgsfield) | 47,127,865 | +16.2% | 免費增值、免費試用 | 面向電影級影片與圖像的 AI 原生創作套件 | [.md](https://openaitools.app/tw/tool/higgsfield.md) |
| 3 | [OpenRouter](https://openaitools.app/tw/tool/openrouter-ai) | 19,941,437 | -6.2% | 付費 | 一個 API 金鑰，呼叫各大廠商數百個 AI 模型 | [.md](https://openaitools.app/tw/tool/openrouter-ai.md) |
| 4 | [Runway](https://openaitools.app/tw/tool/runwayml) | 7,498,396 | +16.9% | 免費增值、付費、需聯絡報價 | 基於前沿 AI 研究的生成式影片、圖像與音訊工具 | [.md](https://openaitools.app/tw/tool/runwayml.md) |
| 5 | [Civitai](https://openaitools.app/tw/tool/civitai) | 6,963,136 | +12.8% | 免費增值 | 探索、下載並使用影像、影片與 3D 的開源 AI 模型進行生成。 | [.md](https://openaitools.app/tw/tool/civitai.md) |
| 6 | [Pollo AI](https://openaitools.app/tw/tool/pollo-ai) | 6,641,636 | -9.6% | 免費增值 | 一站式 AI 影片、圖像與代理式內容創作工作室 | [.md](https://openaitools.app/tw/tool/pollo-ai.md) |
| 7 | [Krea](https://openaitools.app/tw/tool/krea) | 4,583,022 | +2.9% | 免費增值 | 面向圖像與影片的即時生成式 AI 工作室 | [.md](https://openaitools.app/tw/tool/krea.md) |
| 8 | [ComfyUI](https://openaitools.app/tw/tool/comfyui) | 4,379,348 | +13.4% | 需聯絡報價、免費 | 以節點為基礎的視覺 AI 工作台，涵蓋圖像、影片、3D 與音訊 | [.md](https://openaitools.app/tw/tool/comfyui.md) |
| 9 | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 提供類似的開發者優先雲端平台以進行超快速生成式多媒體推理，但定價級別有所不同。 | [.md](https://openaitools.app/tw/tool/fal-ai.md) |
| 10 | [Tensor.Art](https://openaitools.app/tw/tool/tensor-art) | 2,618,069 | +9.4% | 免費 | 在瀏覽器中免費生成 AI 圖像與影片，並託管模型 | [.md](https://openaitools.app/tw/tool/tensor-art.md) |

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來源：https://openaitools.app/tw/compare/runninghub-vs-runware

More Markdown: [分類](https://openaitools.app/tw/categories.md) · [流量排名](https://openaitools.app/tw/rankings.md) · [llms.txt](https://openaitools.app/tw/llms.txt)