| Feature | Elicit | Perplexity Labs |
|---|---|---|
| Free Plan | ✓ Yes | ✓ Yes |
| Pricing | Free / $10/mo | Free |
| Rating | ★★★★★ 4.5 | ★★★★☆ 4.4 |
| Key Feature 1 | Literature review | Multi-model testing |
| Key Feature 2 | Data extraction | New model access |
| Key Feature 3 | Paper summarization | No API key |
Reach buyers comparing Elicit and Perplexity Labs. High-intent traffic, direct conversions.
Elicit and Perplexity Labs are rated almost identically by users (4.5 vs 4.4), so the right pick comes down to feature fit rather than overall quality. Both Elicit and Perplexity Labs offer free plans, so you can test both before committing. Elicit tends to be favoured by students and teachers, while Perplexity Labs is more popular with programmers and researchers.
Elicit and Perplexity Labs are frequently weighed against each other — both sit in the research tools space, but they solve the problem from different angles. Elicit is best known for literature review, whereas Perplexity Labs stands out for multi-model testing. On aggregate user ratings Elicit holds a slight edge (4.5/5 vs 4.4/5), though that gap rarely decides the match on its own.
Where Elicit pulls clearly ahead is running a systematic literature review and extracting key findings across papers. A frequent plus in reviews: Excellent for systematic reviews — especially for literature review workflows where Elicit consistently outperforms manual approaches. Perplexity Labs, by contrast, is the stronger choice for testing new Perplexity AI capabilities before general release. In its favour: Completely free, no API keys needed. Picking based on which of those jobs you actually do day to day beats chasing a longer feature list.
Elicit is the strongest tool for structured evidence synthesis — the ability to extract specific data columns from multiple papers into a comparison table is genuinely transformative for systematic reviewers. Perplexity Labs is most valuable for power users and developers who want to stay at the frontier of Perplexity's capabilities. For most teams the deciding factor is existing workflow and budget, not a marginal feature gap.
Choose Elicit if you are focused on academic researchers, systematic reviewers, and evidence synthesis teams who need to extract and compare data across many studies — particularly for meta-analyses, clinical reviews, and policy research, or if a big part of your week goes to building comparison tables of study populations, methods, and outcomes. Its free tier also lets you validate the fit before paying.
Choose Perplexity Labs if your priority is perplexity Pro users and AI enthusiasts who want early access to experimental features and new capabilities before they're widely released, especially for experimenting with image generation features in Perplexity's ecosystem. A free plan is available, so you can trial the workflow at zero cost first.
In day-to-day use, Elicit feels strongest at running a systematic literature review and extracting key findings across papers, while Perplexity Labs is more at home with testing new Perplexity AI capabilities before general release.
Learning curve is worth weighing. Elicit has a known trade-off — Narrow to academic use — worth evaluating before committing if this is central to your use case. On Perplexity Labs's side: No persistent conversation history. Factor in the integrations you already rely on — that usually settles which one sticks after the trial.
Both tools offer a free plan, so you can trial each side by side before spending anything. Paid plans start at $10/mo for Elicit (Plus) and $20/mo for Perplexity Labs (Included with Perplexity Pro), making Elicit the cheaper entry point at $10/mo versus $20/mo. The extra spend on Perplexity Labs only pays off if you need what its higher tier unlocks. Watch for usage caps and per-seat costs at the tier you'll really land on, not the headline price.
🚀 Ready to decide? Try both free and see which fits your workflow.
Elicit is an AI research assistant that searches academic papers and extracts specific data points — building structured tables of study fin… Read the full Elicit review →
Perplexity Labs is Perplexity's experimental platform for testing new AI capabilities before they reach the main product — including image g… Read the full Perplexity Labs review →
• Excellent for systematic reviews — especially for literature review workflows where Elicit consistently outperforms manual approaches
• Handles large paper sets — especially for literature review workflows where Elicit consistently outperforms manual approaches
• Saves time — automates tasks that would take weeks or even months to complete manually
• Improves accuracy — reduces errors associated with manual data extraction and analysis
• Narrow to academic use — worth evaluating before committing if this is central to your use case
• Slow on large uploads — can be a bottleneck during high-traffic periods or when processing large batches
• Completely free, no API keys needed
• Fastest access to newly released models
• Great for comparing open-source models
• Simple interface, no setup required
• No persistent conversation history
• Not for production use