免費 / 開源提供頂級開源推理模型與平價 API,但較少著墨於阿里生態系的多模態工具。
FluidStack 每月有 154,620 次造訪,月增率 +7.3%,定價模式為付費、需聯絡報價。Qwen 4 (通義千問 4) 每月有 35,101,353 次造訪,成長率 -6.2%,定價模式為免費增值。

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.
| 面向/指標 | ![]() | ![]() |
|---|---|---|
| 官方網域 | fluidstack.io | qwen.ai |
| 定價模式 | 付費、需聯絡報價 | 免費增值 |
| 每月造訪次數 | 15.46萬 (154,620) | 3510.14萬 (35,101,353) |
| 月流量變化量 | +1.05萬 (+7.3%) | -233.98萬 (-6.2%) |
| 主要市場與市佔 | 🇺🇸 美國 (95.7%) | 🇷🇺 俄羅斯 (37.2%) |
| 每月直接造訪 | 4.79萬 | 2502.04萬 |
| 使用者評分 | 4.4 | 4.7 |
| 支援平台 | 網站 | 網站, API, 開源 |

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.

阿里雲第四代基礎大模型家族與全模態 AI 助手 — 涵蓋 Qwen 4 (Qwen4)、Qwen4-Max、Qwen4-Plus、Qwen4-Flash、Qwen4-27B 與 Qwen 3.8-Flash-Next 架構
完整涵蓋旗艦深度推理 Qwen4-Max、企業級均衡主力 Qwen4-Plus、高吞吐低延遲 Qwen4-Flash、本地工作站開源模型 Qwen4-27B,以及專項模型 qwen4-coder-plus 與 qwen4-omni-120b-think。
基於 Qwen 3.8-Flash-Next (Qwen3.8-Flash-Next) 驗證的創新架構(125B 總參數、每 Token 僅啟動 6B 參數 + 51B n-gram 嵌入查找層),兼顧超大容量知識記憶與極速推理吞吐。
導入 Recursive Self-Improvement (RSI) 機制提升複雜數學、程式碼與智慧體推理上限,同時支援 1M Token 超長上下文視窗與原生多模態(文字、影像、音訊、影片)理解。
Qwen4-27B 等開源權重採用 Apache 2.0 商業友善授權,原生支援 Hugging Face、Ollama、vLLM 與消費級 GPU 工作站本地私有化部署。
免費 / 開源提供頂級開源推理模型與平價 API,但較少著墨於阿里生態系的多模態工具。

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.

提供具競爭力的中國基礎模型 API 與代理建構器,但專精於智譜 AI 的 GLM 架構。

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

專項更強Delivers ultra-fast inference speeds using custom LPU hardware, but supports a more limited selection of open models.

專項更強Delivers developer-first serverless endpoints optimized for generative media models rather than general-purpose infrastructure.
免費 / 開源Provides comparable multimodal foundation model APIs from a major tech giant, but utilizes Tencent's proprietary Hunyuan architecture.