# ModelsLab vs Runware

ModelsLab 每月有 74,376 次造訪，月增率 -26.2%，定價模式為免費增值、付費。Runware 每月有 402,862 次造訪，成長率 +27.1%，定價模式為付費。

| 指標 | [ModelsLab](https://openaitools.app/tw/tool/modelslab) | [Runware](https://openaitools.app/tw/tool/runware) |
| :--- | :--- | :--- |
| 網站網址 | https://modelslab.com | https://runware.ai |
| 分類 | AI API, AI 開發者工具, AI 圖像生成器, AI Video Generator | AI API, AI 圖像生成器, Text to Image, AI 模型 |
| 定價模式 | 免費增值、付費 | 付費 |
| 每月造訪次數 | 74,376 | 402,862 |
| 月成長率 | -26.2% | +27.1% |
| 主要市場 | 法國 | 美國 |
| 直接造訪 | 36,910 | 189,796 |
| 評論分數 | 4.3 | 4.5 |
| 收藏數 | 41 | 0 |
| 支援平台 | 網站 | 網站 |

## ModelsLab

ModelsLab 是為需要多種生成式 AI、卻不想管理多家供應商的團隊所打造的 API 優先平台。它匯集超過 10,000 個模型，涵蓋文字轉圖像、圖像編輯與修補、放大、文字轉影片與圖像轉影片、文字轉語音、語音複製、音樂與音效、3D 生成，以及對話與推理 LLM。這些全都位於單一 API 金鑰與統一 JSON 結構描述之後，應用程式可從一個模型起步，無須更動整合即可擴展到其他模型。

典型流程是「搜尋、測試、建置」。你可依任務搜尋模型庫，在遊樂場試用提示以比較輸出，找到合適模型後再以單一 REST 金鑰，或透過所提供的 SDK、CLI 與 MCP 伺服器從應用程式呼叫。這種對代理友善的設計，讓 Cursor、Claude Desktop、Windsurf 或 VS Code 等工具能直接呼叫影像、影片、語音與推理工具。生產環境功能包括逐筆請求記錄、長時間工作的 webhook，以及宣稱 99.9% 的可用性。

除呼叫託管模型外，ModelsLab 也讓你在其 GPU 上訓練自有模型、在共享容量上無限量執行開源模型，或預留專屬 GPU 以維持穩定吞吐量。價格自每月 21 美元起，開源無限量方案自每月 149 美元起，專屬 GPU 自每月 249 美元起，適合仍在原型階段的初創團隊與大規模推出 AI 功能的團隊。

**價格與方案:** 提供免費方案；標準方案自每月 21 美元起，開源無限量生成自每月 149 美元起，專屬 GPU 自每月 249 美元起。企業與客製訓練選項可依需求洽詢。

- **10,000+ 模型，一個 API:** 以單一 API 金鑰與統一 JSON 結構描述取用影像、影片、音訊、3D 與文字模型，不必周旋於多家供應商。
- **遊樂場與比較:** 依任務瀏覽 10,000+ 模型、比較輸出、在遊樂場測試提示，再以相同整合從應用程式呼叫該模型。
- **共享或專屬 GPU:** 在共享基礎設施上執行開源模型，或預留專屬 GPU 以獲得可預期吞吐量與無限量生成。
- **模型訓練:** 在平台 GPU 上訓練微調、複製語音，並依產品、品牌或風格客製模型。
- **MCP、SDK 與 CLI:** 透過 Model Context Protocol 伺服器、型別安全 SDK 或 CLI 連接，讓 AI 編輯器與代理無需黏著程式碼即可呼叫生成工具。
- **請求記錄與 webhook:** 以狀態與延遲追蹤每個請求，並在較長的影片或音訊工作完成時透過 webhook 收到通知。

**優勢:** 以單一 API 金鑰與統一結構描述涵蓋影像、影片、音訊、3D 與 LLM 模型; 超過 10,000 個模型的豐富目錄，並有遊樂場可在寫程式前比較輸出; MCP 伺服器、SDK 與 CLI 讓整合 AI 編碼代理與自動化更容易

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

**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

### ModelsLab 與 Runware 的每月流量相比如何？

ModelsLab 每月有 74,376 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？

ModelsLab 的月增率為 -26.2%；Runware 為 +27.1%。

### 價格相比如何？

ModelsLab：免費增值、付費。提供免費方案；標準方案自每月 21 美元起，開源無限量生成自每月 149 美元起，專屬 GPU 自每月 249 美元起。企業與客製訓練選項可依需求洽詢。 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 | [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 | 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) |
| 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 | 提供相近的無伺服器模型部署與微調，但具備更廣泛的通用機器學習生態系統。 | [.md](https://openaitools.app/tw/tool/replicate-ai.md) |
| 7 | [Atlas Cloud](https://openaitools.app/tw/tool/atlas-cloud) | 777,031 | -16.4% | 付費 | 提供生成式媒體模型的統一存取，但缺乏 Runware 對原始推論速度的專門關注。 | [.md](https://openaitools.app/tw/tool/atlas-cloud.md) |
| 8 | [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) |
| 9 | [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) |
| 10 | [Flaq AI](https://openaitools.app/tw/tool/flaq-ai-api-platform) | 328,715 | +127.9% | 付費 | 一把 API 金鑰，直連主流圖像、影片與語言模型 | [.md](https://openaitools.app/tw/tool/flaq-ai-api-platform.md) |

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來源：https://openaitools.app/tw/compare/modelslab-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)