Connected Papers vs Semantic Scholar
Side-by-side comparison of Connected Papers and Semantic Scholar: pricing, features, API access, and community ratings.
AI comparison summary
TL;DR: Semantic Scholar is a comprehensive search engine with 200M+ papers, offering an API and AI-powered search across disciplines, while Connected Papers specializes in visual exploration—transforming a single seed paper into an interactive graph showing related works and research trajectories. Choose Semantic Scholar for broad discovery and programmatic access, or Connected Papers when you need to quickly map out a research landscape and understand how papers connect to each other. Note that Connected Papers actually uses Semantic Scholar's data but presents it through a unique visualization-first interface.
| Category | Chat assistants | Chat assistants |
| Pricing | Freemium | Free |
| Starting price | Free | |
| Free tier | ||
| Audience | All audiences | All audiences |
| API available | ||
| Open source | ||
| Self-hostable | ||
| Model provider | Allen Institute for AI (AI2) | |
| Founded | 2019 | 2015 |
| Headquarters | Tel Aviv, Israel | Seattle, USA |
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