# Fish Audio vs FluidStack Fish Audio 记录了 8,557,159 月访问量，月度环比增长为 +1.6%，定价为免费增值。FluidStack 记录了 154,620 月访问量，增长率为 +7.3%，定价为付费，定价请咨询。 | 指标 | [Fish Audio](https://openaitools.app/zh/tool/fish-speech) | [FluidStack](https://openaitools.app/zh/tool/fluidstack) | | :--- | :--- | :--- | | 官网地址 | https://fish.audio | https://fluidstack.io | | 分类 | AI 语音生成器, AI 文字转语音, AI 名人语音生成器, AI Models | AI Developer Tools, AI Models, Large Language Models (LLMs) | | 定价模式 | 免费增值 | 付费，定价请咨询 | | 月访问量 | 8,557,159 | 154,620 | | 月度环比增长率 | +1.6% | +7.3% | | 主要市场 | 美国 | 美国 | | 直接访问量 | 3,703,977 | 47,869 | | 评价得分 | 4.4 | 4.4 | | 收藏数 | 11 | 1 | | 支持平台 | 网站 | 网站 | ## Fish Audio Fish Audio（原名 Fish Speech）是一个把文字转为自然语音的语音 AI 平台，融合了文本转语音、声音克隆与语音转文字，并支持情绪控制：你可以把台词标注为 [whispering]、[excited] 或 [sobbing]，从而得到贴合剧本的演绎，而不是平淡的朗读。其声音库规模庞大，社区上传的声音数量以百万计，覆盖多种语言。 克隆速度快且门槛低：极短的音频样本即可建立可用的声音模型，之后还能用该声音说多种语言并保持原始音色。Fish Audio 提供面向实时流式、克隆与转写的强大 API，并面向企业场景，如对话式智能体、配音与有声书制作。 公司同时保留开源路线，发布 Fish Speech 模型系列供自行部署；托管平台则提供浏览器工作室、虚拟形象以及图像/视频模型集成，并有更高用量的付费方案。免费起步方案让用户可以先测试再决定付费。 **定价与套餐:** 免费增值：注册免费并享有每月生成额度，付费订阅可获得更高用量、商业授权与 API 访问；企业方案需联系销售。 - **富有表现力的文本转语音:** 输入或粘贴文稿即可生成自然旁白，支持 [whispering]、[angry]、[laughing] 等行内情绪与演绎标签。 - **即时声音克隆:** 用一段简短音频样本建立可用的声音克隆，并在不同文稿与语言中反复使用。 - **海量声音库:** 浏览并调用覆盖多语言与多种角色风格的大量社区声音。 - **语音转文字:** 支持多语言转写，并提供情绪与说话人线索，方便后续剪辑。 - **实时语音 API:** 低延迟流式接口让开发者构建对话智能体、配音管线与音频应用。 **优势:** 输出自然、情绪可控，对细微语气的处理出色; 声音克隆只需很短的样本; 拥有海量共享声音库与开源模型血统; 提供面向实时流式与开发者集成的强大 API **局限:** 免费额度有限，追求高质量输出通常需转向付费方案; 声音克隆涉及授权与冒用风险，团队需自行管理; 部分功能与模型名称更新很快，文档可能滞后于产品 [工具详情（Markdown）](https://openaitools.app/zh/tool/fish-speech.md) ## FluidStack FluidStack builds and operates large-scale compute infrastructure for AI, including gigawatt-class data centers and GPU clusters used for training and inference. The company designs its own power, cooling and data center systems, onshores manufacturing and deploys solar generation to supply the power its clusters need. Rather than a self-serve cloud console, FluidStack works with AI labs and enterprises to provision large reserved clusters, with orchestration tooling for the ML frameworks and schedulers those teams already use. **定价与套餐:** Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. - **Datacenter-scale compute built in-house:** FluidStack designs and builds large AI data centers, including high-density campuses with significant per-site power capacity, rather than reselling capacity from other clouds. - **GPU clusters for training and inference:** Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads. - **Power and cooling engineered together:** The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems. - **Managed operations and reliability:** Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers. - **US-built and onshored supply chain:** Data centers are built in the United States with onshored manufacturing of compute and power infrastructure, a deliberate supply-chain and sovereignty choice. **优势:** Purpose-built AI infrastructure rather than generic cloud resale; Power, cooling and data center design handled in-house, which matters at scale; Managed provisioning and operations for large training and inference clusters; Explicit positioning on US-built, onshored infrastructure **局限:** No published self-serve pricing or instant sign-up; access requires a sales conversation; Enterprise-scale focus means very small individual workloads may not be a fit; Capacity is concentrated in US locations, which may matter for latency-sensitive or data-residency-bound teams [工具详情（Markdown）](https://openaitools.app/zh/tool/fluidstack.md) ## 常见问题 ### Fish Audio 和 FluidStack 在月流量上如何比较？ Fish Audio 有 8,557,159 月访问量，而 FluidStack 有 154,620。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？ Fish Audio 的月度环比增长率为 +1.6%；FluidStack 为 +7.3%。 ### 价格如何比较？ Fish Audio: 免费增值。免费增值：注册免费并享有每月生成额度，付费订阅可获得更高用量、商业授权与 API 访问；企业方案需联系销售。 FluidStack: 付费，定价请咨询。Enterprise and contact-for-pricing. FluidStack does not publish per-GPU-hour rates or a self-serve sign-up on its website; capacity is scoped and quoted through a direct sales conversation based on cluster size, duration and hardware. Catalogue listings classify it as a paid product requiring contact for pricing. ## 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 | [ElevenLabs](https://openaitools.app/zh/tool/elevenlabs-io) | 42,396,771 | +26.1% | 免费增值，付费，定价请咨询 | 具备行业领先的语音复制与文本转语音质量，但缺乏 Fish Audio 的开源模型灵活性与自行托管选项。 | [.md](https://openaitools.app/zh/tool/elevenlabs-io.md) | | 2 | [HeyGen](https://openaitools.app/zh/tool/heygen) | 7,000,070 | +9.4% | 免费增值 | 几分钟内把脚本变成影棚级 AI 数字人视频 | [.md](https://openaitools.app/zh/tool/heygen.md) | | 3 | [Speechify](https://openaitools.app/zh/tool/speechify) | 5,457,475 | +0.5% | 免费增值 | 覆盖所有设备的文字转语音与语音 AI | [.md](https://openaitools.app/zh/tool/speechify.md) | | 4 | [Voicemod](https://openaitools.app/zh/tool/voicemod) | 3,836,221 | -2.7% | 免费增值 | Voicemod is a real-time AI voice changer and soundboard for PC, Mac and mobile. It swaps your microphone input for 200+ voices and sound effects that work inside Discord, games, streaming apps and calls. | [.md](https://openaitools.app/zh/tool/voicemod.md) | | 5 | [fal.ai](https://openaitools.app/zh/tool/fal-ai) | 3,093,684 | -3.7% | Paid, pay-as-you-go usage-based pricing | Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure. | [.md](https://openaitools.app/zh/tool/fal-ai.md) | | 6 | [RunPod](https://openaitools.app/zh/tool/runpod) | 2,881,043 | +5.9% | 付费 | 提供灵活的按需 GPU 租赁和无服务器端点，但缺乏 FluidStack 那样的超大规模企业级 GPU 集群。 | [.md](https://openaitools.app/zh/tool/runpod.md) | | 7 | [Cartesia](https://openaitools.app/zh/tool/cartesia-ai) | 1,782,707 | +49.7% | 定价请咨询 | 通过 API 提供超低延迟的实时流式语音生成，但对消费级配音工作流的专注度稍低。 | [.md](https://openaitools.app/zh/tool/cartesia-ai.md) | | 8 | [Together AI](https://openaitools.app/zh/tool/together-ai) | 1,645,930 | +64.9% | 免费增值，付费 | 专注于优化的无服务器推理 API 和托管模型托管，而不是单纯的裸集群租赁。 | [.md](https://openaitools.app/zh/tool/together-ai.md) | | 9 | [Vast.ai](https://openaitools.app/zh/tool/vast-ai) | 1,257,554 | +2.8% | 付费 | 提供用于低成本实验的点对点 GPU 租赁市场，不过企业级基础设施的可预测性相对较低。 | [.md](https://openaitools.app/zh/tool/vast-ai.md) | | 10 | [Modal](https://openaitools.app/zh/tool/modal-com) | 1,196,021 | +30.2% | 免费增值，定价请咨询 | 提供用于云端任务的无服务器 Python 容器运行环境，但缺乏原始多节点集群的部署控制。 | [.md](https://openaitools.app/zh/tool/modal-com.md) | --- 来源：https://openaitools.app/zh/compare/fish-speech-vs-fluidstack 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)