免费 / 开源提供顶尖开源推理模型与平价 API,但较少着墨于阿里生态的多模态工具。
FluidStack 记录了 154,620 月访问量,月度环比增长为 +7.3%,定价为付费,定价请咨询。Qwen 4 (通义千问 4) 记录了 35,101,353 月访问量,增长率为 -6.2%,定价为免费增值。

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 | fluidstack.io | qwen.ai |
| 定价模式 | 付费,定价请咨询 | 免费增值 |
| 月访问量 | 15.46万 (154,620) | 3510.14万 (35,101,353) |
| 月度环比流量变化 | +1.05万 (+7.3%) | -233.98万 (-6.2%) |
| 主要市场与份额 | 🇺🇸 美国 (95.7%) | 🇷🇺 俄罗斯 (37.2%) |
| 直接访问 / 月 | 4.79万 | 2502.04万 |
| 用户评分 | 4.4 | 4.7 |
| 支持的平台 | 网站 | 网站, API, 开源 |

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.

阿里云第四代基础大模型家族与全模态 AI 助手 — 涵盖 Qwen 4 (Qwen4)、Qwen4-Max、Qwen4-Plus、Qwen4-Flash、Qwen4-27B 与 Qwen 3.8-Flash-Next 架构
完整覆盖旗舰深度推理 Qwen4-Max、企业级均衡主力 Qwen4-Plus、高吞吐低延迟 Qwen4-Flash、本地工作站开源模型 Qwen4-27B,以及专项模型 qwen4-coder-plus 和 qwen4-omni-120b-think。
基于 Qwen 3.8-Flash-Next (Qwen3.8-Flash-Next) 验证的创新架构(125B 总参数、每 Token 仅激活 6B 参数 + 51B n-gram 嵌入查找层),兼顾超大容量知识记忆与极速推理吞吐。
引入 Recursive Self-Improvement (RSI) 机制提升复杂数学、代码与智能体推理上限,同时支持 1M Token 超长上下文窗口与原生多模态(文本、图像、音频、视频)理解。
Qwen4-27B 等开源权重采用 Apache 2.0 协议商用友好授权,原生适配 Hugging Face、Ollama、vLLM 与消费级 GPU 工作站本地私有化部署。
免费 / 开源提供顶尖开源推理模型与平价 API,但较少着墨于阿里生态的多模态工具。

Provides robust developer tools and multimodal APIs, but relies on Google's closed Gemini models rather than open-weight alternatives.
Provides robust developer tools and multimodal APIs, but relies on Google's closed Gemini models rather than open-weight alternatives.

提供具有竞争力的中国基础模型 API 和智能体构建器,但专注于智谱 AI 的 GLM 架构。

免费 / 开源Provides lightweight open-weight models for local deployment, but offers smaller parameter sizes compared to top-tier Qwen variants.
免费 / 开源Provides lightweight open-weight models for local deployment, but offers smaller parameter sizes compared to top-tier Qwen variants.

专项更强Delivers ultra-fast inference speeds using custom LPU hardware, but supports a more limited selection of open models.

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。

免费 / 开源Provides comparable multimodal foundation model APIs from a major tech giant, but utilizes Tencent's proprietary Hunyuan architecture.
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。
专项更强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。
专项更强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。