免费 / 开源由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI,token 成本极低。
Lovable 记录了 31,052,090 月访问量,月度环比增长为 +3.8%,定价为免费增值。Relace 记录了 8,865 月访问量,增长率为 -48.5%,定价为免费增值,付费。

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.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | lovable.dev | relace.ai |
| 定价模式 | 免费增值 | 免费增值,付费 |
| 月访问量 | 3105.21万 (31,052,090) | 8865 (8,865) |
| 月度环比流量变化 | +115万 (+3.8%) | -8357 (-48.5%) |
| 主要市场与份额 | 🇺🇸 美国 (20.6%) | 🇺🇸 美国 (87.3%) |
| 直接访问 / 月 | 2026.56万 | 3579 |
| 用户评分 | 4.8 | 4.4 |
| 支持的平台 | 网站 | 网站 |
用对话描述想法,Lovable 把它变成可运行的网站或应用
用日常语言描述功能,构建器便会创建或修改全栈 Web 应用的界面、逻辑与结构。
生成前端、后端函数与数据库支撑的功能,而不只是静态效果图,让成果真正能跑起来。
把项目部署到可分享的线上地址,准备正式上线时再绑定自定义域名。
将应用接入外部 API 与服务,并在产品内直接加入对话、搜索或内容生成等 AI 能力。

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.
免费 / 开源由 DeepSeek-V4 与 R1 驱动的高效开源权重与托管推理 AI,token 成本极低。

专项更强Focuses heavily on high-end visual design and marketing sites with AI generation, but less on complex backends.
专项更强Focuses heavily on high-end visual design and marketing sites with AI generation, but less on complex backends.

Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
Together AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
免费 / 开源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.
免费 / 开源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.