# Moises vs Runware Moises 记录了 4,486,503 月访问量，月度环比增长为 +6.6%，定价为免费增值。Runware 记录了 402,862 月访问量，增长率为 +27.1%，定价为付费。 | 指标 | [Moises](https://openaitools.app/zh/tool/moises) | [Runware](https://openaitools.app/zh/tool/runware) | | :--- | :--- | :--- | | 官网地址 | https://moises.ai | https://runware.ai | | 分类 | AI 人声分离工具, AI 分轨工具, AI 母带处理, AI 和弦识别 | AI API, AI Image Generator, Text to Image, AI Models | | 定价模式 | 免费增值 | 付费 | | 月访问量 | 4,486,503 | 402,862 | | 月度环比增长率 | +6.6% | +27.1% | | 主要市场 | 巴西 | 美国 | | 直接访问量 | 1,972,446 | 189,796 | | 评价得分 | 4.6 | 4.5 | | 收藏数 | 33 | 0 | | 支持平台 | 网站 | 网站 | ## Moises Moises 最初以知名的 AI 人声去除工具起家，现已成长为面向音乐人的完整创作套件。其核心分轨引擎可分离人声、鼓、贝斯、吉他、钢琴、键盘、管乐与弦乐，支持多达 27 种音轨类型与高保真模型。你可以静音或独奏任意声部、调整速度、移调，并循环难点段落慢慢练习。 除练习之外，Moises 还提供创作与演出工具。和弦识别可自动分析歌曲和声，歌词转写可输出文字，内置节拍器与变速功能帮助你保持节奏。Moises Studio 让乐队、制作人和联合创作者在同一浏览器会话中实时编曲、录音与编辑，无需来回传文件。视频录制工具还能以录音室级音质记录演出。 Moises 既可作为网页应用在任何浏览器中使用，也提供 iPhone、iPad、Android、macOS 与 Windows 原生应用，让你在通勤途中练习或在桌前制作。它受到格莱美获奖音乐人、音乐院校与数百万爱好者的信赖，官方也声明绝不会用你的个人音频进行训练。 **定价与套餐:** 免费增值。免费套餐每月包含有限上传额度与部分功能。付费订阅可解锁无限上传、更高质量的分轨模型、更长曲目与高级工具。具体档位请查看官方定价页。 - **AI 分轨:** 将任意歌曲拆分为多达 27 种独立音轨，包括人声、鼓、贝斯、吉他、钢琴、键盘、管乐与弦乐。 - **练习控制:** 在不改变音高的情况下降速、移调、循环段落，并在演奏时静音或独奏你的声部。 - **和弦识别与歌词:** 自动识别歌曲和弦并转写歌词，帮助你更快学会一首歌。 - **Moises Studio 协作:** 与乐队成员或制作人在浏览器中实时编曲、录音与编辑同一会话。 - **音频母带处理:** 用 AI 辅助母带处理打磨你的录音，获得更响亮、更均衡的成品。 **优势:** 多种乐器类型的分轨质量出色; 网页、移动端与桌面端齐备，练习不受场景限制; 和弦识别、歌词、变速与移调覆盖完整练习流程; 免费套餐对休闲学习者确实可用 **局限:** 免费套餐受每月上传量与功能权限限制; 高质量模型与无限上传需要付费订阅; 在密集混音或低质量音源上仍可能出现分离瑕疵 [工具详情（Markdown）](https://openaitools.app/zh/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. **定价与套餐:** 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. **优势:** 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 **局限:** 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 [工具详情（Markdown）](https://openaitools.app/zh/tool/runware.md) ## 常见问题 ### Moises 和 Runware 在月流量上如何比较？ Moises 有 4,486,503 月访问量，而 Runware 有 402,862。流量估算描述的是受众规模，而非产品质量。 ### 它们的增长率如何比较？ Moises 的月度环比增长率为 +6.6%；Runware 为 +27.1%。 ### 价格如何比较？ Moises: 免费增值。免费增值。免费套餐每月包含有限上传额度与部分功能。付费订阅可解锁无限上传、更高质量的分轨模型、更长曲目与高级工具。具体档位请查看官方定价页。 Runware: 付费。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. ## 替代工具 | # | 工具名称 | 月访问量 | 月度环比增长率 | 定价模式 | 简介 | 工具详情（Markdown） | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [OpenRouter](https://openaitools.app/zh/tool/openrouter-ai) | 19,941,437 | -6.2% | 付费 | 一个 API 密钥，调用各大厂商数百个 AI 模型 | [.md](https://openaitools.app/zh/tool/openrouter-ai.md) | | 2 | [RunningHub](https://openaitools.app/zh/tool/runninghub) | 3,105,554 | -28.5% | 免费增值 | 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/zh/tool/runninghub.md) | | 3 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | 提供类似的开发者优先云端平台以进行超快速生成式多媒体推理，但定价级别有所不同。},{de: | [.md](https://openaitools.app/zh/tool/fal-ai.md) | | 4 | [LALAL.AI](https://openaitools.app/zh/tool/lalal-ai) | 1,963,370 | -12.1% | 免费增值，付费 | 提供非常干净的人声与乐器分离效果，但缺少 Moises 内置的和弦检测与练习工具。 | [.md](https://openaitools.app/zh/tool/lalal-ai.md) | | 5 | [LANDR](https://openaitools.app/zh/tool/landr) | 1,885,312 | +3.3% | 付费 | 主打母带后制与发行等音乐制作全方位生态系，而非互动式乐器练习。 | [.md](https://openaitools.app/zh/tool/landr.md) | | 6 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 更专注于开源 LLM 托管与专用集群，但对即时图片生成的针对性稍弱。 | [.md](https://openaitools.app/zh/tool/together-ai.md) | | 7 | [Replicate AI](https://openaitools.app/zh/tool/replicate-ai) | 904,038 | -8.4% | 付费 | 提供相近的无服务器模型部署与微调，但具备更广泛的通用机器学习生态系统。},{de: | [.md](https://openaitools.app/zh/tool/replicate-ai.md) | | 8 | [Atlas Cloud](https://openaitools.app/zh/tool/atlas-cloud) | 777,031 | -16.4% | 付费 | 提供了生成式媒体模型的统一访问，但缺乏 Runware 对原始推理速度的专注。 | [.md](https://openaitools.app/zh/tool/atlas-cloud.md) | | 9 | [OpenMusic AI](https://openaitools.app/zh/tool/openmusic-ai) | 709,073 | -7.4% | 免费增值 | 一站式 AI 音乐工作室：生成、编辑并母带处理免版税音乐 | [.md](https://openaitools.app/zh/tool/openmusic-ai.md) | | 10 | [Kits AI](https://openaitools.app/zh/tool/kits-ai) | 691,420 | -15.3% | 免费增值 | 专注于先进的 AI 语音克隆与歌唱生成，并具备强大的音轨分离功能。 | [.md](https://openaitools.app/zh/tool/kits-ai.md) | --- 来源：https://openaitools.app/zh/compare/moises-vs-runware 更多 Markdown 页面: [分类](https://openaitools.app/zh/categories.md) · [流量排名](https://openaitools.app/zh/rankings.md) · [llms.txt](https://openaitools.app/zh/llms.txt)