# Moises vs Runware Moises 每月有 4,486,503 次造訪，月增率 +6.6%，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 | [Moises](https://openaitools.app/tw/tool/moises) | [Runware](https://openaitools.app/tw/tool/runware) | | :--- | :--- | :--- | | 網站網址 | https://moises.ai | https://runware.ai | | 分類 | AI 人聲分離工具, AI 分軌工具, AI Mastering, AI 和弦辨識 | 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 | 4,486,503 | 402,862 | | 月成長率 | +6.6% | +27.1% | | 主要市場 | 巴西 | 美國 | | 直接造訪 | 1,972,446 | 189,796 | | 評論分數 | 4.6 | 4.5 | | 收藏數 | 33 | 0 | | 支援平台 | 網站 | 網站 | ## Moises Moises 最初以知名的 AI 人聲去除工具起家，如今已成長為面向音樂人的完整創作套件。其核心分軌引擎可分離人聲、鼓、貝斯、吉他、鋼琴、鍵盤、管樂與弦樂，支援多達 27 種音軌類型與高保真模型。你可以靜音或獨奏任一聲部、調整速度、移調，並循環困難段落慢慢練習。 除了練習，Moises 也提供創作與演出工具。和弦辨識能自動分析歌曲和聲，歌詞轉寫可輸出文字，內建節拍器與變速功能幫你保持節奏。Moises Studio 讓樂團、製作人與共同創作者在同一個瀏覽器工作階段中即時編曲、錄音與編輯，無需來回傳檔。影片錄製工具還能以錄音室級音質記錄演出。 Moises 既能在任何瀏覽器中作為網頁應用使用，也提供 iPhone、iPad、Android、macOS 與 Windows 原生應用，讓你通勤時練習或在桌前製作。它受到葛萊美獲獎音樂人、音樂院校與數百萬愛好者信賴，官方也聲明絕不會用你的個人音訊進行訓練。 **價格與方案:** 免費增值。免費方案每月包含有限上傳額度與部分功能。付費訂閱可解鎖無限上傳、更高品質的分軌模型、更長曲目與進階工具。實際方案請查看官方定價頁。 - **AI 分軌:** 將任何歌曲拆分成多達 27 種獨立音軌，包括人聲、鼓、貝斯、吉他、鋼琴、鍵盤、管樂與弦樂。 - **練習控制:** 在不改變音高的情況下降速、移調、循環段落，並在演奏時靜音或獨奏你的聲部。 - **和弦辨識與歌詞:** 自動辨識歌曲和弦並轉寫歌詞，幫你更快學會一首歌。 - **Moises Studio 協作:** 與樂團成員或製作人在瀏覽器中即時編曲、錄音與編輯同一工作階段。 - **音訊母帶處理:** 以 AI 輔助母帶處理打磨錄音，獲得更響亮、更均衡的成品。 **優勢:** 多種樂器類型的分軌品質出色; 網頁、行動與桌面端齊備，練習不受場景限制; 和弦辨識、歌詞、變速與移調覆蓋完整練習流程; 免費方案對休閒學習者確實可用 **限制:** 免費方案受每月上傳量與功能權限限制; 高品質模型與無限上傳需要付費訂閱; 在密集混音或低品質音源上仍可能出現分離瑕疵 [Profile (Markdown)](https://openaitools.app/tw/tool/moises.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 ### Moises 與 Runware 的每月流量相比如何？ Moises 每月有 4,486,503 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？ Moises 的月增率為 +6.6%；Runware 為 +27.1%。 ### 價格相比如何？ Moises：免費增值。免費增值。免費方案每月包含有限上傳額度與部分功能。付費訂閱可解鎖無限上傳、更高品質的分軌模型、更長曲目與進階工具。實際方案請查看官方定價頁。 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 | [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) | | 2 | [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) | | 3 | [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) | | 4 | [LALAL.AI](https://openaitools.app/tw/tool/lalal-ai) | 1,963,370 | -12.1% | 免費增值、付費 | 提供非常乾淨的人聲與樂器分離效果，但缺乏 Moises 內建的和弦偵測與練習工具。 | [.md](https://openaitools.app/tw/tool/lalal-ai.md) | | 5 | [LANDR](https://openaitools.app/tw/tool/landr) | 1,885,312 | +3.3% | 付費 | 主打母帶後製與發行等音樂製作全方位生態系，而非互動式樂器練習。 | [.md](https://openaitools.app/tw/tool/landr.md) | | 6 | [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) | | 7 | [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) | | 8 | [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) | | 9 | [OpenMusic AI](https://openaitools.app/tw/tool/openmusic-ai) | 709,073 | -7.4% | 免費增值 | 一站式 AI 音樂工作室：生成、編輯並母帶處理免版稅音樂 | [.md](https://openaitools.app/tw/tool/openmusic-ai.md) | | 10 | [Kits AI](https://openaitools.app/tw/tool/kits-ai) | 691,420 | -15.3% | 免費增值 | 專門提供先進的 AI 語音複製與歌唱生成，並具備強大的音軌分離功能。 | [.md](https://openaitools.app/tw/tool/kits-ai.md) | --- 來源：https://openaitools.app/tw/compare/moises-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)