# Runware vs UserAPI.ai

Runware 每月有 402,862 次造訪，月增率 +27.1%，定價模式為付費。UserAPI.ai 每月有 5,163,985 次造訪，成長率 +1.6%，定價模式為免費增值、付費。

| 指標 | [Runware](https://openaitools.app/tw/tool/runware) | [UserAPI.ai](https://openaitools.app/tw/tool/userapi-ai) |
| :--- | :--- | :--- |
| 網站網址 | https://runware.ai | https://userapi.ai |
| 分類 | AI API, AI 圖像生成器, Text to Image, AI 模型 | AI API, AI 圖像生成器, Text to Image, AI 開發者工具 |
| 定價模式 | 付費 | 免費增值、付費 |
| 每月造訪次數 | 402,862 | 5,163,985 |
| 月成長率 | +27.1% | +1.6% |
| 主要市場 | 美國 | 美國 |
| 直接造訪 | 189,796 | 3,806,959 |
| 評論分數 | 4.5 | 4.2 |
| 收藏數 | 0 | 1 |
| 支援平台 | 網站 | 網站 |

## 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.

**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)

## UserAPI.ai

Midjourney 沒有公開的官方 API，因此想把圖像生成嵌入自家產品的團隊通常需要變通方案。UserAPI.ai 以獨立的非官方 API 填補這一空白：它接收提示並回傳生成圖像，把熟悉的 Midjourney 方法暴露為可被後端呼叫的 REST 端點。

有兩種生成方式。使用你自己的 Midjourney 帳戶時，你只需一次性加入 Discord token，並向 Midjourney 支付你的方案費用；UserAPI 存取按每次請求 0.04 美元或每月 25 美元計費，當每月圖像量達到數百張以上時更划算，並支援快速模式與多帳戶。使用 UserAPI Cloud 時無需 Midjourney 訂閱，也無需 Discord token——生成在 UserAPI 的帳戶上執行，每張圖 0.08 美元，失敗任務自動退款，是快速測試的方式。

服務支援 Midjourney 核心工具集：Imagine、Upscale、Variation、Blend、Describe、Animate、Upsample、Pan 與 Inpaint。它提供文件、Python/Node.js/PHP 程式碼範例，以及 n8n 與 Make.com 的無程式碼整合。它明確聲明與 Midjourney Inc. 無關，因此在把它用於生產前，請評估非官方接入的帳戶與可靠性風險。

**價格與方案:** UserAPI.ai 提供 50 次請求的免費包，無需信用卡。使用你自己的 Midjourney 帳戶時，每次請求 0.04 美元或每月 25 美元（或每季 67.50 美元、每年 246 美元）；UserAPI Cloud 在 UserAPI 的帳戶上執行，每張圖 0.08 美元，相比 0.20 美元的首發價打 6 折，3 美元起（約 37 張圖），失敗任務自動退款。

- **覆蓋 Midjourney 全部核心方法:** 透過 REST API 呼叫 Imagine、Upscale、Variation、Blend、Describe、Animate、Upsample、Pan 與 Inpaint，實現腳本化圖像生成。
- **免 Discord 的雲端生成:** 在 UserAPI Cloud 帳戶上執行，無需 Midjourney 訂閱或 Discord token，失敗任務自動退款。
- **多帳戶管理後台:** 在單一管理面板中管理多個圖像生成帳戶、排程與金鑰。
- **程式碼範例與無程式碼整合:** 提供 Python、Node.js、PHP 現成範例，並有 n8n 與 Make.com 自動化官方整合。
- **免費包與彈性方案:** 從 50 次請求的免費包開始，隨用量成長轉向按次付費或月度方案。

**優勢:** 在沒有官方 API 的情況下把 Midjourney 圖像生成帶入自己的應用; Cloud 選項無需 Midjourney 訂閱與 Discord token; 覆蓋主要 Midjourney 方法，包括 Inpaint、Blend 與 Animate; 提供 Python、Node.js、PHP 範例及 n8n、Make.com 整合

**限制:** 它是非官方 API，與 Midjourney 無關聯，依賴其無法控制的平台行為; 使用自有 Midjourney 帳戶仍需 Midjourney 訂閱與 Discord token; 由於依賴 Discord 帳戶，自動化使用存在帳戶風險考量; 雲端按圖計價，在高用量下會累積

[Profile (Markdown)](https://openaitools.app/tw/tool/userapi-ai.md)

## 常見問題

### Runware 與 UserAPI.ai 的每月流量相比如何？

Runware 每月有 402,862 次造訪，而 UserAPI.ai 有 5,163,985。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？

Runware 的月增率為 +27.1%；UserAPI.ai 為 +1.6%。

### 價格相比如何？

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. UserAPI.ai：免費增值、付費。UserAPI.ai 提供 50 次請求的免費包，無需信用卡。使用你自己的 Midjourney 帳戶時，每次請求 0.04 美元或每月 25 美元（或每季 67.50 美元、每年 246 美元）；UserAPI Cloud 在 UserAPI 的帳戶上執行，每張圖 0.08 美元，相比 0.20 美元的首發價打 6 折，3 美元起（約 37 張圖），失敗任務自動退款。

## 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 | [OpenAI 平台](https://openaitools.app/tw/tool/openai) | 234,678,639 | -9.6% | 付費 | 用於部署 GPT-6 Astra、Sol、Luna 以及即時多模態代理的企業級開發者平台與 API。 | [.md](https://openaitools.app/tw/tool/openai.md) |
| 2 | [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) |
| 3 | [RunningHub](https://openaitools.app/tw/tool/runninghub) | 3,105,554 | -28.5% | 免費增值 | 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/tw/tool/runninghub.md) |
| 4 | [fal.ai](https://openaitools.app/tw/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 一個 API 串接 1500+ 可上線的生成式媒體模型 | [.md](https://openaitools.app/tw/tool/fal-ai.md) |
| 5 | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | +64.9% | 免費增值、付費 | 更專注於開源 LLM 代管與專用叢集，但較不適合即時圖片生成。 | [.md](https://openaitools.app/tw/tool/together-ai.md) |
| 6 | [Replicate AI](https://openaitools.app/tw/tool/replicate-ai) | 904,038 | -8.4% | 付費 | 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/tw/tool/replicate-ai.md) |
| 7 | [Agnes AI](https://openaitools.app/tw/tool/agnes-ai) | 902,184 | -25.8% | 免費增值 | 一個免費 API，串接文字、圖像與影片模型 | [.md](https://openaitools.app/tw/tool/agnes-ai.md) |
| 8 | [Atlas Cloud](https://openaitools.app/tw/tool/atlas-cloud) | 777,031 | -16.4% | 付費 | 一組相容 OpenAI 的 API，串接 500+ 圖像、影片、音訊與大模型 | [.md](https://openaitools.app/tw/tool/atlas-cloud.md) |
| 9 | [DeepInfra](https://openaitools.app/tw/tool/deep-infra) | 457,810 | -8.9% | 付費 | 擅長低成本的開源權重模型推論，但針對複雜圖片生成管線的專門工具較少。 | [.md](https://openaitools.app/tw/tool/deep-infra.md) |
| 10 | [MuAPI](https://openaitools.app/tw/tool/muapi) | 412,788 | +13.7% | 免費增值 | 一個 API 取用所有生成式影像、影片與音訊模型 | [.md](https://openaitools.app/tw/tool/muapi.md) |

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

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)