Consensus vs Semantic Scholar

Side-by-side comparison of Consensus and Semantic Scholar: pricing, features, API access, and community ratings.

AI comparison summary

TL;DR: Both search peer-reviewed papers, but Consensus specializes in synthesizing answers across multiple studies to show scientific consensus on specific questions, while Semantic Scholar excels at exploring the citation network and relationships between 200M+ papers. Consensus uses a freemium model with deeper filtering by methodology and study characteristics, whereas Semantic Scholar is completely free with stronger focus on paper discovery and influence tracking. Choose Consensus for evidence-based answers to specific questions; choose Semantic Scholar for comprehensive literature mapping and citation analysis.

Consensus
Consensus

AI-powered academic search engine that finds answers in peer-reviewed research

Visit
Semantic Scholar
Semantic Scholar

AI-powered academic search engine for scientific literature

Visit
Category
Chat assistants
Chat assistants
Pricing
Freemium
Free
Starting price
USD 9.99/mo
Free
Free tier
Audience
All audiences
All audiences
API available
Open source
Self-hostable
Model provider
OpenAI
Allen Institute for AI (AI2)
Founded
2022
2015
Headquarters
San Francisco, US
Seattle, USA
Key strengths
  • ·Searches exclusively peer-reviewed and scientific literature
  • ·AI-synthesized consensus summaries across multiple papers
  • ·Deep filtering by study type, population, methodology, and more
  • ·Cited, evidence-backed answers rather than hallucinated content
  • ·AI-powered semantic search across 200M+ academic papers
  • ·Free public API for programmatic access to paper metadata
  • ·Citation graph and influence analysis
  • ·Auto-generated TLDRs for rapid paper comprehension