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DeepSeek vs Relace
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。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。
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。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。
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。
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 | deepseek.com | relace.ai |
| 定价模式 | 免费增值 | 免费增值，付费 |
| 月访问量 | 3.73亿 (372,761,591) | 8865 (8,865) |
| 月度环比流量变化 | +1536.22万 (+4.3%) | -8357 (-48.5%) |
| 主要市场与份额 | 🇨🇳 中国 (50.5%) | 🇺🇸 美国 (87.3%) |
| 直接访问 / 月 | 2.92亿 | 3579 |
| 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。
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.
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.
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.
