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DeepSeek vs FluidStack
DeepSeek 记录了 372,761,591 月访问量，月度环比增长为 +4.3%，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。
由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
月访问量
3.73亿
月度环比增长率
+4.3%
主要市场
🇨🇳 中国
DeepSeek 记录了 372,761,591 月访问量，月度环比增长为 +4.3%，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。
由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
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.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | deepseek.com | fluidstack.io |
| 定价模式 | 免费增值 | 付费，定价请咨询 |
| 月访问量 | 3.73亿 (372,761,591) | 15.46万 (154,620) |
| 月度环比流量变化 | +1536.22万 (+4.3%) | +1.05万 (+7.3%) |
| 主要市场与份额 | 🇨🇳 中国 (50.5%) | 🇺🇸 美国 (95.7%) |
| 直接访问 / 月 | 2.92亿 | 4.79万 |
| 用户评分 | 4.8 | 4.4 |
| 支持的平台 | 网站 | 网站 |
由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI，token 成本极低。
依托稀疏混合专家架构（V4-Pro 为 1.6T 中的 49B 激活参数），以极低延迟与内存开销处理最多 100 万 token。
由 DeepSeek-R1 开创并融入 V3.2 与 V4 思考模式，对复杂数学、逻辑与代码调试展示逐步自校验过程。
缓存命中时，输入 token 成本降至 Flash 的每百万 0.003 美元与 V4-Pro 的每百万 0.022 美元，非高峰 UTC 时段费率再低 50%。
在 chat.deepseek.com 及 iOS/Android 上免费提供文档上传、推理模式与网页搜索，核心模型不必付费墙。
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.
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.
Clusters are architected for large-scale model training and inference, with high-bandwidth interconnect and orchestration suitable for distributed workloads.
The company develops off-grid solar and recirculating closed-loop cooling, treating power and water efficiency as core engineering problems.
Smart hands, cluster provisioning and operations support let research teams focus on models while FluidStack runs the physical and orchestration layers.
提供巨大的上下文窗口与深度的 Google 生态系整合，但对于纯推理任务感觉较不够专精。
提供巨大的上下文窗口与深度的 Google 生态系整合，但对于纯推理任务感觉较不够专精。
免费 / 开源提供同等级的开源权重基础模型与多语言效能，但需要自行架构主机或第三方推理设定。
免费 / 开源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
免费 / 开源Enables running open-source models locally on consumer hardware, but lacks DeepSeek's cloud-scale hosted reasoning power.
专项更强Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
专项更强Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
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。
专项更强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。
