MedAI Verdict
Research tools

Medical Research

Perplexity Pro

by Perplexity AI  ·  founded 2022  ·  US

Last verified

General-purpose answer engine with inline citations and Deep research. Perplexity does not market it as a clinical tool.

At a glance

Pricing
A free tier exists.
HIPAA
Not disclosed
SOC 2
Not disclosed
EHRs
—
Founded
2022
HQ
US
On this page

Independent score  ·  By our public rubric

35/100Competitive
How it’s computed →
  • Regulatory & Compliance
    0/11

    No FDA clearance listed

  • Clinical Integration
    0/7.8

    No EHR integrations listed

  • Evidence Strength
    8.4/27

    1 peer-reviewed paper

  • Vendor & Market
    12.6/18

    Mid-tier funding and adoption

  • Sentiment & Transparency
    6.5/15.5

    Prices listed publicly

▸ Show all 11 dimensions

Regulatory & Compliance

  • FDA clearance0/6

    No FDA clearance listed

  • HIPAA / SOC2 / BAA0/5

    No public HIPAA/SOC2/BAA attestation

Clinical Integration

  • EHR integrations (count)0/4

    No EHR integrations listed

  • Top-3 EHR coverage (Epic / Oracle / Athena)0/2

    None of the top-3 EHRs covered

  • Bidirectional write-back0/1

    No bidirectional write-back documented

Evidence Strength

  • Peer-reviewed papers8/21

    1 peer-reviewed paper

  • RCT / meta-analysis / systematic review0/6

    No RCT, meta-analysis, or systematic review

Vendor & Market

  • Funding & adoption signal8/12

    Mid-tier funding and adoption

  • Years in market4/6

    Founded 2022 (4 years)

Sentiment & Transparency

  • Clinician sentiment (Reddit)0/9

    No clinician sentiment data available

  • Pricing transparency7/7

    Prices listed publicly

Scored October 15, 2026 · Public scoring method v1.1.0

Bottom line

General-purpose answer engine with inline citations and Deep research. Perplexity does not market it as a clinical tool.

A free tier exists.

Editorial review  ·  By MedAI Verdict

Bottom line

Perplexity Pro is a general-purpose AI answer engine with inline citations. Perplexity does not market it as a clinical tool, and its pricing page sells it for research and work tasks. Two 2025 and 2026 JMIR studies tested pieces of the Perplexity stack on medical questions. Through the Sonar API, guideline questions were answered correctly 60% to 81% of the time on the open web, and a test of nine free AI tools found retracted papers in a share of Perplexity's answers. A clinician who will open the sources and check them can use it as a first pass. It does not replace UpToDate, DynaMed or guidelines, and patient information should stay out of it.

What is Perplexity Pro and who sells it?

Perplexity describes Pro as "the most accurate answers from all the top AI models", and says every answer includes inline citations from trusted sources (Perplexity website, October 2026). The page now leads with Perplexity Computer for agentic apps and documents next to research. Pro includes Deep research, model selection, 4,000 bonus credits and expanded Computer access. The models on offer come from OpenAI, Google, Anthropic, Moonshot, Z.ai and xAI.

Perplexity AI is in San Francisco and was founded in August 2022 by Aravind Srinivas (CEO), Denis Yarats, Johnny Ho and Andy Konwinski. The last priced round was reported at about a $23B valuation in January 2026, and funding totals range from $1.2B to more than $2B depending on source (Tracxn). Talks at a valuation above $30B were reported in August 2026 and had not closed. The company is private.

How well does it answer medical questions?

A 2025 JMIR study put 130 American Academy of Neurology guideline questions to Perplexity's Sonar models through the API, so the result describes those models and was not run on the Pro app. Sonar scored 60% correct on the open web and 78% when limited to aan.com and neurology.org. Sonar-Pro scored 80% against 88%, and Sonar-Reasoning-Pro 81% against 89%. OpenEvidence scored 82%, so on the open web it beat all three, and the two limited Pro-tier models beat it. Two neurologists rated the answers, and the authors note that domain overlap may inflate the gain from whitelisting (JMIR 2025, article e79379).

A 2026 JMIR study by Labenbacher and colleagues tested the free versions of nine generative AI tools on 15 retracted articles. Perplexity answered all five questions correctly for 5 of the 15 articles, or 33%, and included a retracted article in topic overviews in 6 cases, or 40% (PMID 42066286).

Where does it fall short?

Reviewers find the source mix variable. iatroX and EvidenceMD, both makers of competing medical AI products, say the citations link to real pages that are not necessarily guidelines. EvidenceMD's 2026 ranking puts Perplexity eighth among medical AI tools because of citation accuracy. A review at ai101.health suggests Pro Search for a quick refresher but says UpToDate and DynaMed remain faster and more reliable for established conditions.

Is it safe for patient data?

Sources conflict. Paubox says enterprise tiers may be HIPAA-compliant only with a signed BAA whose text is not public. Sonomos says no tier has a BAA and Enterprise Pro has only a data processing agreement. Perplexity's Enterprise terms, updated in February 2026, say Enterprise Pro and Max may not process PHI without a BAA. Perplexity Health is a consumer wellness product, and its help center says HIPAA does not apply to it (via Paubox). Both sources advise keeping PHI out. SOC 2 and HITRUST are not stated for Pro. No EHR integration is listed, and it is not a medical device.

How much does Perplexity Pro cost?

Pro costs $17 per month billed annually and Max $167 per month billed annually, with a free tier below them. Pro currently adds $40 of free Computer credits for a limited time. A monthly-billing price is not published (Perplexity pricing page, October 2026).

How does it compare?

Consensus, Elicit, Scite, SciSpace, Semantic Scholar and Undermind are narrower research tools that search papers. OpenEvidence, UpToDate Expert AI, ChatGPT and Claude are the usual comparisons for clinical questions. In the neurology study, OpenEvidence's 82% beat Perplexity's open-web Sonar results (60% to 81%), while whitelisted Sonar-Pro (88%) and Sonar-Reasoning-Pro (89%) scored higher than OpenEvidence.

The verdict

Use Perplexity Pro as a starting point for a question you can verify against the cited pages. Do not use it as the only source behind a clinical decision, because the open-web and retracted-paper results show it can surface weak sources. A clinician who wants answers tied to guidelines should pay for a tool built on clinical sources, and PHI stays out unless an enterprise contract with a BAA says otherwise.

Editorial review last generated October 15, 2026. Synthesized from clinician sentiment, peer-reviewed coverage, and our editorial silo picks. Refined by hand where vendor facts change.

Pricing

What it costs

All tiers are custom-quoted. The vendor does not publish per-provider list pricing.

TierMonthlyAnnualNotes
Free——A free tier exists.
Pro—USD 204The monthly-billed price is not shown. Limited-time +$40 free Computer credits listed.
Max—USD 2004Adds expert-level research. The monthly-billed price is not shown.

Source: vendor pricing page. Last checked October 15, 2026.

Vendor stability

Who builds it

Perplexity Pro (Perplexity AI) was founded in 2022 in US, putting it 4 years into market.

Peer-reviewed coverage

What the literature says

1 peer-reviewed study indexed on PubMed evaluate Perplexity Pro in clinical contexts. The most relevant are shown below, ranked by editorial relevance score combining title match, study design, recency, and journal tier.

Comparative Performance of Large Language Models in Ophthalmology Referral Triage.
Cardoso-Teixeira P, Alves Ambrósio J, Garcia M, et al.· Cureus· 2026
Purpose The aim of this study was to evaluate the classification accuracy and consistency of five advanced language model-based systems (LLMs), ChatGPT 4o, ChatGPT 5.1, Perplexity Pro, Claude Sonnet 4.5, and Claude Opus 4.1, in classifying real-world Portuguese ophthalmology referral vignettes into symptom-based categories, and to assess the effect of supervised in-context learning on model performance. Methods A total of 3,831 real-world, anonymized ophthalmology referral vignettes written in Portuguese and collected between January and May 2023 were submitted to each sys…

See all on PubMed