# LLMule 依據 OpenAITools.app 於 2026-11-11 查驗的觀測資料，LLMule（llmule.xyz）是收錄於 Large Language Models (LLMs) 的 AI 平台，每月產生 0 次造訪，月流量變化量為 +0（0%）。其主要地理市場為全球（流量佔比 —），並採用免費定價模式。依每月流量計算的主要競爭替代方案包括 RunPod（每月 288.1萬次造訪），NaN Builders（每月 4.72萬次造訪），Lightning AI（每月 27.26萬次造訪）。 LLMule is a peer-to-peer network that lets people run large language models by sharing GPU capacity across the internet, offering a free OpenAI-compatible API, a web chat interface and a single-file provider you can run on your own machine. ## 主要觀測資料與規格 | 指標 | 數值 | | :--- | :--- | | 工具名稱 | LLMule | | 代稱 | llmule | | Status | active | | Origin | open_source | | Maintenance | active | | 官方網域 | llmule.xyz | | 網站網址 | https://llmule.xyz | | 分類 | Large Language Models (LLMs), AI 模型, AI 開發者工具, 開源 AI 模型, AI API, AI 聊天機器人, AI 助手 | | 定價模式 | 免費 | | 每月造訪次數 | 0 | | 月流量變化 | 0 | | 月成長率 | 0% | | 主要市場 | 全球 | | 市佔率 | — | | 直接造訪 | 0 | | 自然搜尋造訪 | 0 | | 社群造訪 | 0 | | 推薦流量造訪 | 0 | | 電子郵件造訪 | 0 | | 評論分數 | 4.2 | | 收藏數 | 0 | | 支援平台 | 網站 | | 帳務平台 | | | 屬性 | 功能: 網站; 價格: 免費 | | 標籤 | 去中心化 AI, P2P 網路, AI 運算, 資料隱私, 社群模型, 開源, 本機 AI, 分散式運算 | ## 總覽 LLMule is a peer-to-peer network that lets people run large language models by sharing GPU capacity across the internet, offering a free OpenAI-compatible API, a web chat interface and a single-file provider you can run on your own machine. ## 價格與方案 Free. LLMule is a free, community-powered network — there is no subscription or per-token charge. Costs are effectively shared with the peers whose hardware serves the requests. ## 關鍵功能與能力 - **Decentralized P2P model network:** Route requests to models hosted on other participants' machines instead of a single corporate data center. - **OpenAI-compatible API:** Call remote open-source models through an endpoint that follows the familiar OpenAI chat completions shape. - **Browser chat interface:** Try models straight from a browser chat window without installing anything. - **One-file provider:** Join as a provider with a small, single-file program that publishes the models running on your own hardware. - **Privacy-oriented by design:** Built for people who want to experiment with open models while keeping prompts and data away from centralized providers. ## 主要使用情境 - **Prototyping against open models for free (Developers):** Developers can prototype against open models using OpenAI-style calls without provisioning paid API keys. - **Pooling consumer GPU capacity (Local AI enthusiasts):** Members share idle GPU time so the community can reach larger or more specialised models than any single machine could host. - **Exploring decentralized inference (Privacy-minded users):** People who prefer keeping prompts away from centralized vendors can route work to community-hosted peers, or self-host a provider. - **Trying models without installing anything (Hobbyists):** Anyone curious about local models can open the web chat and test what the network is currently serving. ## 優勢 - Completely free to use as a consumer - OpenAI-compatible API keeps integration effort low - Decentralized design avoids relying on one provider - Provider software is a single file and easy to run - Good fit for open-source model experimentation ## 限制 - Experimental and explicitly labeled as such, so reliability and uptime are not guaranteed - Response speed and quality depend entirely on which peers are online and how powerful their GPUs are - Sharing your own GPU is required to get the most out of the network, which raises electricity and security considerations - Model availability fluctuates based on what community members choose to host ## 常見問題 ### What makes LLMule different from a normal LLM API? It is a community-run, peer-to-peer network. Instead of a company-owned data center, models run on the machines of people who join the network and share their GPUs. LLMule itself brands the project as experimental. ### Is LLMule really free? Yes, the service is free to use. There is no subscription — the trade-off is that capacity comes from other users, so performance varies with who is online. ### Can I use my existing OpenAI SDK code? LLMule exposes an OpenAI-compatible API endpoint. In most cases you can point an existing OpenAI SDK or client at the LLMule base URL and reuse your code. ### Do I have to share my own GPU to use it? Providers run a small one-file provider that makes their local models reachable on the network. As a consumer you can just use the web chat or the hosted API. ### Is my data private? Prompts travel through the network to reach a host machine. For sensitive data you should run a local model provider yourself rather than relying on remote peers. ### LLMule 的每月流量與成長趨勢為何？ LLMule 目前每月有 0 次造訪，月流量變化為 +0（成長率 0%）。其主要來源市場為全球（佔比 —），其中包含每月 0 次直接造訪與每月 0 次自然搜尋造訪。 ### LLMule 是免費的嗎？其定價模式為何？ LLMule 採用免費定價模式。Free. LLMule is a free, community-powered network — there is no subscription or per-token charge. Costs are effectively shared with the peers whose hardware serves the requests. 支援的帳務與結帳平台包括：未列出。 ### 2026 年最佳的 LLMule 替代方案有哪些？ 依據 OpenAITools.app 的分類流量與功能契合度，LLMule 的前五大替代方案為：1. RunPod（每月 288.1萬次造訪）; 2. NaN Builders（每月 4.72萬次造訪）; 3. Lightning AI（每月 27.26萬次造訪）; 4. Chutes（每月 25.02萬次造訪）; 5. Together AI（每月 164.59萬次造訪）。 ### LLMule 支援哪些平台與核心 AI 能力？ LLMule 分類於 Large Language Models (LLMs), AI 模型, AI 開發者工具, 開源 AI 模型，支援以下平台：網站，其核心能力標籤包括：去中心化 AI, P2P 網路, AI 運算, 資料隱私, 社群模型, 開源。 ## 替代方案 | 工具名稱 | 每月造訪次數 | 定價模式 | 比較 | | :--- | :--- | :--- | :--- | | [RunPod](https://openaitools.app/tw/tool/runpod) | 2,881,043 | 付費 | [比較](https://openaitools.app/tw/compare/llmule-vs-runpod) | | [NaN Builders](https://openaitools.app/tw/tool/nan-builders) | 47,153 | Subscription | [比較](https://openaitools.app/tw/compare/llmule-vs-nan-builders) | | [Lightning AI](https://openaitools.app/tw/tool/lightning-ai) | 272,562 | 免費增值、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/lightning-ai-vs-llmule) | | [Chutes](https://openaitools.app/tw/tool/chutes) | 250,187 | 付費 | [比較](https://openaitools.app/tw/compare/chutes-vs-llmule) | | [Together AI](https://openaitools.app/tw/tool/together-ai) | 1,645,930 | 免費增值、付費 | [比較](https://openaitools.app/tw/compare/llmule-vs-together-ai) | | [DeepInfra](https://openaitools.app/tw/tool/deep-infra) | 457,810 | 付費 | [比較](https://openaitools.app/tw/compare/deep-infra-vs-llmule) | | [LLM Gateway](https://openaitools.app/tw/tool/llm-gateway) | 168,426 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/llm-gateway-vs-llmule) | | [oMLX](https://openaitools.app/tw/tool/omlx-ai) | 107,331 | 免費 | [比較](https://openaitools.app/tw/compare/llmule-vs-omlx-ai) | | [EmpirioLabs AI](https://openaitools.app/tw/tool/empiriolabs-ai) | 37,887 | 免費增值、付費 | [比較](https://openaitools.app/tw/compare/empiriolabs-ai-vs-llmule) | | [FlexAI](https://openaitools.app/tw/tool/flexai) | 44,314 | 免費增值、付費、需聯絡報價 | [比較](https://openaitools.app/tw/compare/flexai-vs-llmule) | | [Modal](https://openaitools.app/tw/tool/modal-com) | 1,196,021 | 免費增值、需聯絡報價 | [比較](https://openaitools.app/tw/compare/llmule-vs-modal-com) | | [Vast.ai](https://openaitools.app/tw/tool/vast-ai) | 1,257,554 | 付費 | [比較](https://openaitools.app/tw/compare/llmule-vs-vast-ai) | --- 來源：https://openaitools.app/tw/tool/llmule