Reviewed by Zoran P — Editor, AI Agents List · Last verified: June 15, 2026 · How we test
Choose Consensus if you want a quick evidence check — ask a question and get a plain-language answer with a Consensus Meter showing how much the underlying studies agree, backed by peer-reviewed citations; ideal for clinicians, journalists, students, and analysts.
Choose Elicit if you are running a formal literature review and need to extract structured data from many papers — sample size, methodology, findings — into a comparison table you can export to CSV, which is its signature strength.
Last verified: June 15, 2026
Key facts
Consensus and Elicit both answer research questions from peer-reviewed scientific papers and both are freemium, but they are different kinds of tool: Consensus is a science search engine that returns a plain-language evidence synthesis with linked sources, while Elicit is a literature-review workbench that extracts structured data from many papers into comparison tables.
| Consensus AI Science Search Engine | Elicit AI Research Assistant | |
|---|---|---|
| Pricing model | Free tier plus paid subscription; paid adds higher usage, GPT-class summaries, and study-quality indicators. Tier names and prices vary across third-party sources — confirm on consensus.app/pricing | Tiers: Basic (free), Plus, Pro, Team, Enterprise (custom); paid adds higher limits and advanced extraction. Prices vary across sources — confirm on elicit.com/pricing |
| Free plan | Yes — free limits refresh monthly (a recurring allowance). Exact monthly limit varies by source; confirm on consensus.app/pricing | Yes — Basic tier, but free credits are one-time and not refreshed monthly (they run out until you upgrade). Exact amount varies by source |
| Core approach | Science search engine: a natural-language question in, a plain-language synthesis of what the evidence says plus links to the source papers out | Literature-review workbench: searches a paper corpus and extracts structured findings from many studies into a comparison table |
| Key capabilities | Plain-language synthesis across studies; Consensus Meter showing how much studies agree; results linked to peer-reviewed sources; filters by study type, year, and journal; Copilot synthesis mode | Semantic search across millions of papers; automated plain-language summaries; custom data-extraction columns; CSV export of results |
| Source corpus | Peer-reviewed scientific literature; synthesizes only from real papers, not model training data | Scientific papers, primarily from Semantic Scholar |
| Underlying model | Uses GPT-class models for its summaries/Pro Analyses (model version changes over time) | Not disclosed — model-agnostic/multi-model by design |
| Developer API | Yes — public API; API access is custom-priced (alongside team accounts and custom integrations) | Yes — public API |
| Platforms & deployment | Web app and browser extension; cloud | Web app (browser-based); cloud; CSV export |
| Notable limits | Limited to published, indexed research — not for current events or how-to questions; advanced features need a paid tier; not built for deep workflow automation | Academic literature only, not general web; summaries can miss nuance in complex papers; advanced features need a paid plan; not a substitute for expert review |
| Best for | Non-experts and analysts who want clear, source-backed answers from the scientific literature | Researchers and students processing large volumes of academic literature efficiently |
Consensus and Elicit both turn peer-reviewed papers into answers, but they present evidence in fundamentally different ways. Consensus works like a search engine built for a quick read: you ask a question in natural language and it returns a plain-language synthesis with a Consensus Meter that summarizes how much the underlying studies agree, plus links to the source papers and filters for study type, year, and journal. Elicit works like a literature-review workbench: it searches a large corpus (primarily Semantic Scholar) and — its signature feature — extracts structured data from many papers into a comparison table with custom columns such as sample size, methodology, or findings, which you can export to CSV.
On a documented-capability read, the split is quick evidence check versus formal systematic review. Consensus is built for non-experts who want a fast, source-backed answer — clinicians, journalists, analysts — and its paid tier adds GPT-class model summaries and study-quality indicators. Elicit is built for researchers synthesizing many papers into a structured, comparable table rather than a single answer. We have not run an identical query through both tools from this review environment, so these notes describe each tool's documented design rather than a first-party head-to-head; an identical-query test (for example, "Does intermittent fasting improve insulin sensitivity?") is an open verification item.
Consensus and Elicit are both freemium, so the entry price for each is $0 — both have a usable free tier. The more decision-relevant difference is the shape of the free tier, not the headline price: Elicit's free credits are one-time and are not refreshed, so they run out until you upgrade, whereas Consensus refreshes its free limits on a monthly cycle. For steady, ongoing use Consensus's resetting allowance tends to stretch further; for a single burst of work Elicit's one-time credits may be enough. Both gate stronger features behind paid tiers — Consensus's paid tier adds GPT-class summaries and study-quality indicators, while Elicit's paid plans (Plus, Pro, Team, Enterprise) add higher limits and advanced extraction. We deliberately do not quote subscription prices: third-party sources contradict each other on every figure, so confirm the current numbers on consensus.app/pricing and elicit.com/pricing.
Elicit is the better fit for a systematic literature review: it is built to process many papers at once and extract structured data — sample size, methodology, findings — into a comparison table you can export to CSV, which is the core of evidence synthesis. Consensus is better when you want a fast, plain-language answer to a specific question with cited sources and a Consensus Meter for study agreement, but it returns a synthesis rather than a structured, paper-by-paper table, and our data notes Consensus is not designed for systematic-review methodology. A common pattern is to use Consensus for quick scoping and fact-checking early on, then Elicit for the structured extraction once the review is underway.
Neither Consensus nor Elicit is a safe default — each has documented limitations worth weighing before you commit.
Most people choosing between Consensus and Elicit can decide on one question: do you want a fast, source-backed answer to a research question, or a structured table that synthesizes many papers for a literature review?
Quick answers to the questions developers ask most when choosing between Consensus and Elicit.
Both are free to start — Consensus and Elicit each offer a free tier, so entry cost is $0. The key difference is how the free tier works: Elicit's free credits are one-time and not refreshed, while Consensus refreshes its free limits monthly. Paid tiers unlock more usage and advanced features, but we don't publish subscription prices because third-party sources conflict on every figure — confirm current pricing on consensus.app/pricing and elicit.com/pricing.
Yes, and they complement each other. A common workflow is Consensus for fast, source-backed answers and early scoping of what the evidence says, then Elicit for the heavy lifting of a literature review — extracting structured data from many papers into a comparison table. Both draw on peer-reviewed science and link back to source papers, and both expose a public API if you want to automate part of the workflow.
No — both Consensus and Elicit are grounded in real papers rather than model training data. Consensus synthesizes its answers directly from peer-reviewed literature and shows the sources alongside a Consensus Meter of study agreement; Elicit summarizes and extracts data from papers it retrieves, primarily from Semantic Scholar. Neither is designed to generate unsourced answers, though both can miss nuance, so expert review still matters.
Yes. Elicit's signature feature is structured data extraction: you define custom columns (such as sample size, methodology, or findings) and it fills them across many papers into a comparison table you can export to CSV. Consensus focuses on answering a question with a plain-language synthesis, a Consensus Meter, and linked sources, plus filters by study type, year, and journal — it does not offer Elicit-style custom extraction tables.
Consensus and Elicit each have a full profile with pricing, limitations, and alternatives — start there if you are still deciding.
Consensus — full profile
AI Science Search Engine
Elicit — full profile
AI Research Assistant
Perplexity vs You.com
Citation-grade web research vs 20+ model choice and no tracking.
NotebookLM vs Perplexity
Your-documents-only analysis vs live web search.
Browse all research tools → /categories/research