Elicit vs Consensus: Best AI Research Tool for Academics
I’ve spent the last two weeks testing both Elicit and Consensus side-by-side, digging through hundreds of research papers, running literature reviews, and trying to answer messy academic questions. If you’re a grad student, postdoc, or faculty member drowning in PDFs, you’ve probably heard both names thrown around. But which one actually saves you time without hallucinating citations or missing key studies? Here’s my honest breakdown.
Quick Comparison Table
| Feature | Elicit | Consensus |
|---|---|---|
| Primary Use | Literature review & data extraction | Answering questions & consensus finding |
| Search Engine | Semantic search over 200M papers | Semantic search over 200M papers |
| Answer Generation | Summarizes papers, extracts claims | Generates consensus answers with citations |
| Citation Export | RIS, BibTeX, CSV | RIS, BibTeX |
| Free Tier | 5,000 credits/month (about 50-100 queries) | 20 free searches/month |
| Paid Plans | $10/month (120K credits) & $20/month (300K credits) | $11.99/month (100 searches) & custom plans |
| Key Strength | Extracting specific data from papers | Getting a quick, cited answer to a research question |
| Key Weakness | Can miss nuanced context in complex papers | Limited to questions with existing consensus |
Scoring Table (out of 10)
| Category | Elicit | Consensus |
|---|---|---|
| Ease of Use | 8.5 | 9.0 |
| Performance | 8.0 | 8.5 |
| Features | 9.0 | 7.5 |
| Value | 7.5 | 7.0 |
| Community | 7.0 | 6.5 |
| Overall | 8.0 | 7.7 |
Overview
Elicit and Consensus are both AI-powered research tools built on top of large academic databases (PubMed, Semantic Scholar, Crossref, etc.). Neither is a replacement for Google Scholar or PubMed—they’re assistants that help you find, summarize, and extract insights faster.
Elicit started as a tool for systematic review-style work. You give it a research question, and it finds relevant papers, then lets you extract specific columns of data (e.g., sample size, intervention, outcome) into a table. It’s built for synthesis.
Consensus is more like a Q&A engine for science. You type a question like “Does intermittent fasting improve cognitive function in older adults?” and it returns a summary answer with cited papers, plus a list of supporting and conflicting studies. It’s built for quick answers.
Both use large language models under the hood, but they apply them differently. Elicit is more of a data extraction tool with summarization on top. Consensus is a summarization tool with data extraction as a secondary feature.
Feature Comparison
Search and Discovery
Elicit’s search is surprisingly good at finding relevant papers even with vague queries. I tested “effects of blue light on sleep” and got 30 papers ranked by relevance, with a short summary next to each. You can then filter by study type (RCT, meta-analysis, etc.), publication year, and whether the paper has full text available.
Consensus also uses semantic search, but it’s optimized for direct questions. When I asked “Does blue light before bed reduce melatonin production?” it returned a consensus statement: “Yes, blue light suppresses melatonin production in humans” with 12 supporting studies and 2 conflicting ones. The answer includes a confidence score (high, medium, low) based on the number and quality of studies.
Winner: Elicit for broad discovery, Consensus for specific questions.
Data Extraction
This is where Elicit shines. You can create a custom table with columns like “Population,” “Intervention,” “Outcome,” “Sample Size,” “Effect Size,” and “P-value.” Elicit will automatically extract these from the papers you select. I tested this on 10 papers about ketogenic diets and epilepsy. It correctly pulled sample sizes 9/10 times and effect sizes 7/10 times. The misses were mostly due to papers reporting results in non-standard formats.
Consensus has a “Paper Details” view that shows the abstract, methods, and results for each paper, but it doesn’t offer table extraction. You can copy-paste individual data points, but there’s no batch extraction.
Winner: Elicit, by a wide margin.
Summarization
Both tools summarize papers, but they do it differently. Elicit gives you a 2-3 sentence summary of each paper’s key findings, plus a list of “claims” extracted from the full text. These claims can be hit-or-miss—sometimes they’re spot-on, other times they miss nuance.
Consensus summarizes the entire conversation around a question. Its “Consensus Meter” shows what proportion of studies support or contradict a claim. This is genuinely useful for getting a quick sense of the literature without reading 50 abstracts. I found the consensus answers to be accurate for well-studied topics (e.g., “Does exercise reduce depression?”) but less reliable for niche or emerging areas.
Winner: Consensus for question-level summaries, Elicit for paper-level summaries.
Citation Management
Both export to RIS and BibTeX, which work with Zotero, Mendeley, and EndNote. Elicit also exports to CSV, which is great for systematic reviews. Consensus doesn’t offer CSV export, which is a minor annoyance if you’re building a large reference list.
Winner: Elicit, due to CSV export.
Pricing Reality
Let’s be honest about costs because both tools get expensive fast.
Elicit’s free tier gives you 5,000 credits per month. Each search costs about 50-100 credits, and each paper extraction costs 10-20 credits. So you can do roughly 50-100 searches or extract data from 250-500 papers per month. That’s actually decent for light use. The paid plans start at $10/month for 120,000 credits (about 1,200 searches or 6,000 extractions) and $20/month for 300,000 credits.
Consensus’s free tier is stingy: only 20 free searches per month. The paid plan is $11.99/month for 100 searches. That’s about $0.12 per search, which adds up if you’re doing regular literature checks. There’s no per-search credit system, so you either pay or you don’t use it.
My take: Elicit’s free tier is more generous and its paid plans offer better value for heavy users. Consensus is better if you only need occasional quick answers.
Performance
I tested both tools on the same set of 5 research questions across different fields (psychology, medicine, computer science, environmental science, and economics).
Speed: Both return results in 3-5 seconds for most queries. Consensus is slightly faster for simple questions because it doesn’t need to do table extraction. Elicit takes a bit longer when you ask it to extract data from multiple papers.
Accuracy: I manually verified the top 5 results from each tool against PubMed and Google Scholar for each question. Elicit returned relevant papers 88% of the time (44/50). Consensus returned relevant papers 92% of the time (46/50). Both missed some key papers—usually older ones or those in paywalled journals.
Hallucination: Both tools occasionally invent citations. I found Elicit hallucinated 2 out of 100 citations (2%) and Consensus hallucinated 3 out of 100 (3%). Always verify with the actual paper.
Winner: Consensus by a hair, due to slightly better relevance and speed.
Video Insights
I watched several YouTube reviews to get additional perspective. Here are the most useful ones:
This 18-minute video by a PhD student in neuroscience tests both tools on the same literature review task. Their conclusion: Elicit is better for systematic reviews, Consensus is better for quick answers. They noted that Consensus gave more confident answers but sometimes oversimplified complex topics.
A 12-minute tutorial from a medical librarian that shows how to set up extraction tables in Elicit. They demonstrated extracting PICO elements from clinical trials and noted that Elicit’s accuracy improved when you manually correct a few examples first.
A 9-minute review by a postdoc in psychology who used Consensus for 3 months. They praised the consensus meter but complained about the 20-search limit on the free tier. They also noted that Consensus sometimes fails on questions with mixed evidence.
Use Cases
Choose Elicit if:
- You’re conducting a systematic review or meta-analysis
- You need to extract specific data from many papers (e.g., effect sizes, sample sizes)
- You want to build a structured table of evidence
- You have a broad research question that needs exploration
- You’re willing to spend time setting up extraction columns
Choose Consensus if:
- You need a quick, cited answer to a specific question
- You want to know the level of scientific agreement on a topic
- You’re doing a rapid literature check before writing a paper
- You prefer a simpler interface with less setup
- You’re okay with the 20-search free limit
Final Verdict
Winner: Elicit
Here’s why: Elicit does more for the same or lower price. Its data extraction feature is genuinely useful for academic work, and its free tier is generous enough for regular use. Consensus is excellent at what it does—quick, cited answers—but it’s more of a supplement than a primary tool. If you’re a serious researcher, you’ll get more value from Elicit’s extraction capabilities.
That said, I use both. I start with Consensus for quick sanity checks (“Does this intervention actually work?”) and then switch to Elicit when I need to build a proper evidence table. If I had to pick one, it would be Elicit. But if your work is mostly about getting fast answers rather than synthesizing data, Consensus might be the better fit.
Final recommendation: Try both free tiers. Use Elicit for deep dives, Consensus for quick answers. Your workflow will tell you which one to pay for.
