Relace 每月有 8,865 次造訪，月增率 -48.5%，定價模式為免費增值、付費。SiliconFlow 每月有 276,303 次造訪，成長率 -10.5%，定價模式為 Pay-as-you-go。
Relace is an inference provider serving open-weight frontier models through a per-token API, known for aggressive pricing and top-tier throughput on OpenRouter.
用一個 API 快速、可預測成本地執行 LLM 與多模態模型
| 面向／指標 | | |
|---|---|---|
| 官方網域 | relace.ai | siliconflow.com |
| 定價模式 | 免費增值、付費 | Pay-as-you-go |
| 每月造訪次數 | 8865 (8,865) | 27.63萬 (276,303) |
| 月流量變化量 | -8357 (-48.5%) | -3.25萬 (-10.5%) |
| 主要市場與市佔 | 🇺🇸 美國 (87.3%) | 🇺🇸 美國 (18.8%) |
| 每月直接造訪 | 3579 | 9.51萬 |
| 使用者評分 | 4.4 | 4.6 |
| 支援平台 | 網站 | 網站 |
Relace is an inference provider serving open-weight frontier models through a per-token API, known for aggressive pricing and top-tier throughput on OpenRouter.
No subscription or minimum commitment — you are billed only for the input, cached input and output tokens you consume.
Reusing a cached prefix costs a fraction of the standard input price, which lowers cost for repetitive or agentic workloads.
Serve popular open models such as DeepSeek, Kimi and GLM families through one consistent endpoint.
Optimized scheduling and GPU utilization help Relace rank among the top providers by daily token volume on OpenRouter.
用一個 API 快速、可預測成本地執行 LLM 與多模態模型
透過單一端點存取大量 LLM 與多模態模型，多數現有 SDK 程式碼只需替換 base URL 與金鑰即可運行。
可從按量計費的無伺服器呼叫起步，隨吞吐與成本需求成長遷移到專屬端點、預留 H100/H200/MI300 GPU 或彈性 GPU（FaaS）部署。
可用自有資料微調受支援的模型，並把微調結果一鍵部署到託管端點，無需自建訓練流程。
透明的費率表按每百萬 Token 列出輸入、快取輸入與輸出價格，生成模型另按張計價，便於做具體的預算規劃。
免費 / 開源由 DeepSeek-V4 與 R1 驅動的高效開源權重與託管推理 AI，token 成本極低。
專項更強Specializes in high-speed generative media and image models, but offers less comprehensive large language model coverage.
擅長執行自訂機器學習模型與微調，但標準 LLM 推論的成本可能較高。
專項更強Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
專項更強Unsloth is an open-source toolkit for running and training large language models locally. It provides faster, more memory-efficient fine-tuning, a local chat and agent environment with browser use, image and video generation, and an OpenAI-compatible API your existing tools can connect to.
高可信前沿推論，端到端加密
