Exa

★★★★ 4.2
VS

Kagi

★★★★★ 4.6
Feature Exa Kagi
Pricing Free / from $100/mo From $5/mo
Free Plan ✓ Yes ✗ No
Rating 4.2 / 5 4.6 / 5
Best For ai-developers, researchers, data-scientists, startup-builders privacy-conscious-users, developers, researchers, power-users
Founded 2022 2022
Neural Search
Content Retrieval
Similarity Search
Filtering
Auto Search
Api Access
Ad Free Search
Ai Summaries
Personalization
Domain Blocking
Lenses
Privacy

✓ Exa Pros

  • Semantic search beyond keywords
  • Clean API for developers
  • Returns full page content
  • Excellent for AI agent use cases

✗ Exa Cons

  • Developer-focused - no consumer product
  • Free tier has limited requests
  • Results can be unpredictable

✓ Kagi Pros

  • No ads or tracking
  • Customizable results
  • AI-powered summaries
  • Fast and accurate

✗ Kagi Cons

  • No free plan
  • Requires subscription
  • Smaller index than Google

The Verdict

Exa is built for ai developers and researchers, with a focus on neural-search and content-retrieval. Kagi targets privacy conscious users and developers and leads with ad-free-search and ai-summaries.

On pricing, Kagi is the clear winner for budget-conscious users — starting at $5/mo compared to $100/mo for Exa. That $95/mo difference adds up quickly for growing teams.

Exa has a free plan, which gives it a meaningful edge for individuals and small teams exploring their options. Kagi requires a paid subscription from day one.

Kagi edges out on user ratings (4.6 vs 4.2). While both are well-regarded, that gap reflects real differences in user satisfaction worth considering.

Both tools are a solid fit for researchers — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

Bottom line: Kagi has a slight overall edge — but if semantic search beyond keywords matters most to you, Exa may still be the right call.

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