Kagi
Semantic Scholar
| Feature | Kagi | Semantic Scholar |
|---|---|---|
| Pricing | From $5/mo | Free only |
| Free Plan | ✗ No | ✓ Yes |
| Rating | 4.6 / 5 | 4.4 / 5 |
| Best For | privacy-conscious-users, developers, researchers, power-users | researchers, phd-students, academics, literature-reviewers |
| Founded | 2022 | 2015 |
| Ad Free Search | ✓ | ✗ |
| Ai Summaries | ✓ | ✗ |
| Personalization | ✓ | ✗ |
| Domain Blocking | ✓ | ✗ |
| Lenses | ✓ | ✗ |
| Privacy | ✓ | ✗ |
| Semantic Search | ✗ | ✓ |
| Tldr Summaries | ✗ | ✓ |
| Citation Graphs | ✗ | ✓ |
| Research Feeds | ✗ | ✓ |
| Author Profiles | ✗ | ✓ |
| Open Api | ✗ | ✓ |
✓ 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
✓ Semantic Scholar Pros
- Completely free to use
- AI-generated paper summaries (TLDR)
- Influence and citation metrics
- Research feeds and alerts
✗ Semantic Scholar Cons
- Coverage gaps in some disciplines
- No full-text access
- Interface less intuitive than Google Scholar
The Verdict
Kagi is built for privacy conscious users and developers, with a focus on ad-free-search and ai-summaries. Semantic Scholar targets researchers and phd students and leads with semantic-search and tldr-summaries.
Semantic Scholar uses custom enterprise pricing, while Kagi starts at $5/mo — a tangible advantage for teams with a fixed budget.
Semantic Scholar 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.
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.
This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.