
UserCall is an AI research platform that runs adaptive, AI-moderated voice interviews at scale and turns the transcripts into traceable qualitative findings your team can act on.
| 维度 / 指标 | ![]() | |
|---|---|---|
| 官方域名 | deepseek.com | usercall.co |
| 定价模式 | 免费增值 | 付费 |
| 月访问量 | 3.73亿 (372,761,591) | 1.66万 (16,638) |
| 月度环比流量变化 | +1536.22万 (+4.3%) | -1899 (-10.2%) |
| 主要市场与份额 | 🇨🇳 中国 (50.5%) | 🇺🇸 美国 (62.3%) |
| 直接访问 / 月 | 2.92亿 | 6641 |
| 用户评分 | 4.8 | 4.3 |
| 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。

UserCall is an AI research platform that runs adaptive, AI-moderated voice interviews at scale and turns the transcripts into traceable qualitative findings your team can act on.
Live, two-way voice conversations that follow your guide, decide in the moment whether to probe or move on, and carry context from each link.
Fire a short interview right after signup, drop-off, checkout abandonment, cancellation or another key moment, while the context is still fresh.
Every theme opens to the participants behind it, and findings are flagged as strong, weak, overstated or contradicted so thin evidence is called thin.
One guide runs across markets in over 50 languages and voices, so multi-market studies no longer need separate translators or interviewers.

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.

免费 / 开源Offers a feature-rich self-hosted chat interface for local models, but requires you to provide your own underlying LLM backend.
免费 / 开源Offers a feature-rich self-hosted chat interface for local models, but requires you to provide your own underlying LLM backend.