优缺点
我们的分析优点
- Answers with inline cited sources
- Follow-up questions preserve conversation context
- Focus modes: academic, YouTube, Reddit, WolframAlpha
缺点
- Free tier limits Pro searches
- Top model backends require $20/mo Pro
- API access only via waitlist
用户评价
Perplexity is commonly praised for delivering cited answers that allow readers to verify claims without separate searches, and its follow-up question support helps with multi-step research without losing context. A frequently noted strength is the availability of focus modes targeting academic papers, Reddit, YouTube, and WolframAlpha. A common limitation is that the free tier restricts daily Pro searches, and access to stronger backend models such as GPT-4o and Claude requires a paid subscription.
基于公开信息的编辑摘要.
最适合
Researchers wanting sourced answers across web and academic content
手动选择竞品
Perplexity
| 功能 | ||
|---|---|---|
| 定价 | 免费增值 | 免费增值 |
| 免费方案 | 是 | 是 |
| API | 候补名单 | 是 |
| 开源 | 否 | 否 |
| 平台 | Desktop | Web |
| 模型 | Perplexity | You |
| 上下文窗口 | 32k | 32k |
| 上线时间 | 2023 | 2020 |
| 集成 | — | DuckDuckGo, Alibaba, Amazon +5 更多 |
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规格
| 定价 | 免费增值 |
|---|---|
| 免费方案 | 是 |
| API | 候补名单 |
| 开源 | 否 |
| 平台 | Desktop |
| 模型 | Perplexity |
| 上下文窗口 | 32k |
| 上线时间 | 2023 |

