Elicit vs Consensus
Elicit vs Consensus for AI research: compare accuracy, sources and pricing in 2026. Elicit is best for aI research assistant for systematic literature.
Elicit Best for: AI research assistant for systematic literature review and paper analysis | Consensus Best for: AI search across 220M+ academic papers with consensus-finding summaries | |
| Overview | Elicit is an AI research platform that searches across 138M+ academic papers and 545,000+ clinical trials, extracts structured data, and runs literature reviews. The current version adds Research Agents (late 2025) and a public Elicit API (March 2026). | Consensus is an AI research engine that searches a corpus of 220M+ academic papers to answer questions with evidence; its 2026 lineup centers on Deep Search, a Research Agent, and Medical Mode rather than the old "consensus meter" alone. |
| Pricing | Freemium | Freemium |
| Users | 2M+ | 1M+ |
| Advantages | โ
Searches an unusually large corpus: 138M+ papers plus 545,000+ clinical trials โ
Structured data extraction into custom columns is genuinely useful for systematic reviews โ
Generous free tier with unlimited search, summaries and chat-with-papers โ
Research Agents and the March 2026 API allow automation and integration into external workflows โ
Every summary and extraction links back to sources you can verify | โ
Answers are grounded in peer-reviewed papers with direct links back to sources, so claims are checkable โ
Deep Search decomposes a question and synthesizes across dozens of papers (up to ~1,000 in wide mode) โ
Very large corpus cited at 220M+ papers โ
Medical Mode narrows to clinical guidelines and top journals for health questions โ
MCP integration lets you use it inside ChatGPT, Claude, Codex, and Claude Code |
| Disadvantages | โFocused on academic and clinical literature, not general-purpose web research โMeaningful screening and extraction volumes are locked behind paid tiers โPro caps at 5,000 papers and 135 sources; large reviews push you toward Scale or Enterprise โAI-generated summaries and citations still require manual checking โPRISMA-grade accuracy and 40,000-paper screening only on custom-priced Enterprise | โFree plan caps Deep Search at about 3 per month, so serious use needs a paid tier โThe higher Deep tier at $45/user/mo is a jump for individuals โAI summaries can lose nuance; primary sources still need reading for high-stakes work โCoverage is limited to indexed literature and some records are abstract-level only โName collision with an unrelated sales tool at goconsensus.com can cause confusion |
| Rating | โฆ | โฆ |
| Website | elicit.com | consensus.app |
Verdict: Which Should You Choose?
Choose Elicit ifโฆ
- โ You conduct systematic literature reviews and need to extract structured data from many papers
- โ You want to automate the screening and data extraction phase of academic research
- โ You need tables summarizing specific fields (sample size, methodology, outcomes) across studies
- โ You're a researcher doing meta-analysis who processes dozens to hundreds of papers
Choose Consensus ifโฆ
- โ You want quick, plain-language answers backed by peer-reviewed papers
- โ You need consensus meters showing how many studies agree or disagree on a claim
- โ You're a student, clinician, or policy professional who needs fast evidence-based answers
- โ You want a simpler interface for finding scientific consensus without data extraction