Consensus Pricing for Students and Researchers (June 2026)

Consensus pricing is mostly a question of how often you need AI to move from paper search into cited synthesis. A student checking a few claims, a clinician scanning evidence, a journalist verifying a science claim, and a lab running repeated literature-review passes should not all buy the same plan.

AiPedia rechecked Consensus pricing, subscription docs, product docs, search best practices, and the product changelog on June 28, 2026. The current public ladder is Free, Pro, Deep, Teams, and Enterprise. The current subscription help page lists Pro at $15/month or $120/year, and Deep at $65/month or $540/year. Team and Enterprise pricing remains custom.

Quick Verdict

Start with Consensus Free if you only need occasional academic search and want to test whether cited answers are useful. Move to Pro when academic Q&A becomes routine, because Pro is the practical default for unlimited Pro messages plus a monthly Deep allowance. Move to Deep only when you can use the 200 monthly Deep reviews.

Use Teams or Enterprise when the buying reason is central billing, team logins, volume access, library or institutional workflows, account support, or procurement control. Do not buy Deep just because it sounds more complete. Buy it when you have repeated literature-review questions that would actually consume the extra Deep reviews.

Choose Elicit instead when the workflow is a formal literature review with screening and extraction tables. Choose Semantic Scholar when the need is free raw paper discovery. Choose Scite when citation support or contrast context matters more than question answering.

Plan Choice In One Table

Free Is The Right First Test

Consensus Free is not just a teaser. The current subscription help page says Free includes unlimited Papers searches, 15 Pro messages per month, 3 Deep reviews per month, and 10 Study Snapshots per month.

Use Free to test:

• one thesis or class-paper research question
• one clinical or policy evidence check
• one science-claim fact check
• one citation-backed answer workflow
• one Consensus Meter yes/no query
• one Deep review on a question where the answer needs more than a quick summary

If the cited papers are not relevant enough, upgrading will not fix the research question. Rewrite the query, adjust filters, inspect the underlying papers, or use a second search path.

Pro Is The Practical Default

Pro is the first paid plan AiPedia would inspect for routine academic research. The current subscription docs list Pro at $15/month or $120/year. Pro keeps unlimited Papers searches, adds unlimited Pro messages, gives 15 Deep reviews per month, and includes unlimited Study Snapshots.

Buy Pro when:

• the buyer asks citation-backed academic questions every week
• Pro messages save real reading and triage time
• 15 Deep reviews per month are enough
• Study Snapshots are part of the research workflow
• a student, clinician, analyst, or journalist needs cited answers but not a formal review tool

Stay on Free when the usage is occasional. Skip to Deep only after the buyer can explain which repeated research jobs will exceed Pro’s Deep allowance.

Deep Is For Proven High Volume

Deep is the high-use individual plan. The current subscription docs list Deep at $65/month or $540/year. It includes the Pro feature set and 200 Deep reviews per month.

Deep makes sense when:

• a researcher runs frequent literature-review passes
• Pro’s 15 Deep reviews are already too tight
• the questions need longer analysis across paper sets
• the buyer uses Consensus Library and Collections heavily
• saved papers, uploads, and custom outputs are part of the workflow

Consensus’s June 2026 changelog makes Deep more valuable for saved-paper work. The June 18 entry says Deep Search can run inside Library and Collections, analyze up to 50 relevant papers, and produce custom outputs such as PICO or SPIDER reviews, reading lists, scoping maps, and custom reports. The June 22 entry adds collection sharing and expanded uploads for private research documents. That is useful, but it also raises the review burden: check source quality, sharing permissions, and the actual papers before relying on the synthesis.

Teams And Enterprise Are Procurement Paths

Teams and Enterprise are not just bigger personal plans. The current subscription docs position Teams for groups that need centralized billing and team logins, while Enterprise is the custom route for very large teams and institutions that need volume discounts, account management, library or institutional integrations, product training, and search optimization.

Consider Teams or Enterprise when:

• students or staff need shared administration
• a lab or department wants predictable billing
• library or institutional access matters
• training and search support would improve adoption
• compliance or procurement needs a vendor review

Do not use one shared personal account for team work. That creates attribution, privacy, access, and billing problems.

When Consensus Is The Wrong Purchase

Choose another route when:

• The workflow is a formal systematic review: use Elicit or a dedicated review workflow if screening, inclusion criteria, extraction tables, and audit trails matter.
• The buyer needs free raw paper discovery: use Semantic Scholar first.
• Citation context is the bottleneck: use Scite to see whether later papers support, contrast, or only mention a claim.
• The source base is already fixed: use NotebookLM when answers should stay inside uploaded PDFs, notes, and source packs.
• The research is current web, company, policy, or product work: use Perplexity or primary-source web research.
• The stakes are clinical, legal, financial, or safety critical: use Consensus for orientation only and require expert review.

Buying Checklist

Before paying for Consensus, answer these questions:

1. Is the research question answerable from academic papers rather than current web pages, books, or internal documents?
2. Will Free’s 15 Pro messages and 3 Deep reviews per month be enough?
3. If Pro is not enough, which recurring work will use more than 15 Deep reviews?
4. Does the buyer need individual access, a team workspace, or institution-level procurement?
5. Which second search path will catch missed papers or contrasting terms?
6. Who is responsible for opening the underlying papers and checking methods, dates, sample sizes, and conflicts?
7. Which alternative will be tested before annual renewal?

If those answers are vague, stay on Free or Pro until the workflow has proof.

Bottom Line

Consensus is worth paying for when cited academic answers save enough triage time to justify the subscription. Free proves the workflow. Pro is the default paid plan for routine research. Deep is for frequent literature-review users who can actually use 200 monthly Deep reviews. Teams and Enterprise are procurement paths for groups, labs, departments, and institutions.

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