Exa vs Perplexity
A side-by-side comparison of Exa and Perplexity, two Search tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Exa | Perplexity |
|---|---|---|
| Category | Search | Search |
| Pricing | FREEMIUM | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | API | Web, iOS, Android, macOS, Windows, API |
| Model support (differs) | Model-agnostic | Multi-model |
| Vendor (differs) | Exa Labs | Perplexity AI |
| Capabilities (differs) |
|
|
The honest brief
Exa
Built for AI/research retrieval: neural embedding search plus find-similar, where general search APIs key off keywords.
- Semantic 'find pages like this' retrieval
- Purpose-built for RAG and agents
- Returns full page content, not just links
- Free tier to test
- Index narrower than Google-scale crawlers
- Keyword queries can lag classic search
- Usage-priced costs scale with volume
Perplexity
Pairs a consumer cited-answer engine with the Sonar API, so the same retrieval layer powers both.
- Inline citations on synthesized answers
- Cited search API for your own apps
- Pro lets you pick a model per query
- Strong on fresh, fact-based queries
- Citations can misattribute or be wrong
- Weak on niche topics with thin sources
- Best features gated behind Pro
When to pick which
Both cover Unified search and Cited answers.
Pick Exa if you need Web scraping and Structured extraction.
- Web scraping (secondary capability)
- Structured extraction (secondary capability)
Pick Perplexity if you need Multi-model access, Embeddings, and Web research agent.
- Multi-model access (secondary capability)
- Embeddings (secondary capability)
- Web research agent (secondary capability)
Perplexity leans on Cited answers as a headline capability; Exa treats it as secondary.
- Cited answers (primary capability)
They also differ on:
- Platforms
- API · Web, iOS, Android, macOS, Windows, API