Kagi vs Perplexity
A side-by-side comparison of Kagi and Perplexity, two Search tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
At a glance
| Attribute | Kagi | Perplexity |
|---|---|---|
| Category | Search | Search |
| Pricing (differs) | PAID | FREEMIUM |
| License | Proprietary | Proprietary |
| Deployment | Cloud | Cloud |
| Platforms (differs) | Web, API | Web, iOS, Android, macOS, Windows, API |
| Model support | Multi-model | Multi-model |
| Vendor (differs) | Kagi | Perplexity AI |
| Capabilities (differs) |
|
|
The honest brief
Kagi
A rare paid, ad-free search engine where your plan budget doubles as a fair-use credit across many frontier LLMs.
- Ad-free, no tracking or data selling
- Bundled multi-model AI Assistant
- Customizable result ranking and blocklists
- Universal Summarizer built in
- Paid only — no free search tier
- Smaller index than Google/Bing
- AI usage capped by fair-use budget
- Niche, requires browser/default switch
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 Multi-model access, Unified search, and Cited answers.
Pick Kagi if you need Summarization.
- Summarization (secondary capability)
Pick Perplexity if you need Embeddings and Web research agent.
- Embeddings (secondary capability)
- Web research agent (secondary capability)
Perplexity leans on Cited answers as a headline capability; Kagi treats it as secondary.
- Cited answers (primary capability)
They also differ on:
- Pricing
- PAID · FREEMIUM
- Platforms
- Web, API · Web, iOS, Android, macOS, Windows, API