
Consensus Free can be a useful starting point for one tightly scoped research brief, provided you reserve Deep reviews for questions that need synthesis. It is an ongoing free tier, not just a trial. The limit to watch is advanced analysis: ordinary paper discovery and a Deep review are different activities.
For a writer deciding whether to pay, the useful question is not “Can I search for free?” It is “Can I finish this brief with the advanced allowance left in my account?” Start with Consensus, inspect your usage counter, and plan around the work that remains.
Official sources and the live pricing controls checked November 1, 2026. This is a source-based plan analysis, not an authenticated product test. The research budget below is a proposed example; we did not run searches, consume credits or evaluate the accuracy of a generated review.
The subscription guide lists unlimited paper searches, 10 Pro messages, three Deep reviews and 10 Study Snapshots per month on Free. Its reset date is available under Settings > Subscription. “Unlimited paper searches” does not mean unlimited AI synthesis.
The live pricing page also displayed 10 Pro messages and up to three Deep reviews monthly. However, the Deep review FAQ still says 15 Free Pro messages. We would use the lower public figure when sketching a budget, then confirm the actual entitlement and remaining balance in the account. Do not promise a deadline-dependent brief on the larger number.
There is another important interaction: that FAQ says a Free Deep review also consumes one Pro message. Treat the two counters as coupled, rather than adding three reviews to a separate allowance of ten ordinary Pro requests. The exact remaining balances matter more than a plan name.
Consensus's search guide distinguishes Paper search, which returns papers without an AI summary, from Pro and Deep analysis. It also identifies Pro as the default mode. If you only want to inspect titles or refine terminology, deliberately choose Paper search rather than assuming every query is the basic mode.
| Work to do | Starting mode | Why use it here? |
|---|
| Find terminology, likely studies and a manageable question | Paper search | Browse candidates before spending analysis allowance |
| Ask for a focused comparison or a limited synthesis | Pro | Resolve a bounded question after defining the scope |
| Investigate a question with multiple related evidence threads | Deep | Reserve a broader synthesis for the stage where it changes the brief |
| Read an already identified source | Open the paper | An additional AI answer may not resolve a missing methods detail |
The guide documents natural-language queries, Boolean terms and criteria such as publication period, study type and population. Use those to specify the research task. Changing “tell me about training” into a bounded question can be more useful than purchasing more attempts at the vague version.
Suppose a writer is preparing a short evidence brief about spaced versus single-session workplace training, with retention measured after at least four weeks. This is an illustrative research question, not a conclusion about either training method.
Before using advanced analysis, define the audience, population, comparison, outcome and cutoff date. Use paper discovery to check whether the terminology and available studies match that scope. Save promising references and note obvious gaps. Do not spend a Deep review merely to discover that the question combines unrelated populations.
If the account starts with the publicly listed Free allowances and no earlier usage, a possible allocation is:
| Proposed action | Pro-message balance | Deep-review balance |
|---|---|---|
| Starting public allowance | 10 | 3 |
| One focused Pro synthesis after discovery | 9 | 3 |
| One Deep review on the finalized question | 8 | 2 |
| One further Pro question to investigate a specific conflict | 7 | 2 |
This arithmetic assumes each proposed Pro submission consumes one message and the documented Free Deep interaction consumes one of each. It is a planning illustration, not an observed billing trace or a guarantee about every follow-up, retry or account type. Check the counter after real use.
The remaining reviews are a reserve, not a target to exhaust. A second Deep review is justified when the first reveals a materially different question, such as whether evidence for students transfers to employees. It is less useful to rerun the same broad request because the first answer was not phrased as desired.
The Deep guide also says its Skills workflows use Deep credits. A citation-verification or literature-review Skill is not a separate free shortcut around that limit. Before choosing a workflow, check which mode and allowance it uses.
Ask for a comparison structure that matches the brief: study population, intervention, comparator, outcome, follow-up period and limitations. Read the sources behind conclusions you intend to publish. If a result is outside your target population, record that mismatch rather than quietly generalizing it.
Consensus's citation guidance explains that a citation checkmark means the platform used full text; without it, analysis relied on the abstract and available metadata. Neither icon establishes what you personally read. A detailed AI account of a method is not a substitute for verifying that method in the paper.
Keep a short evidence log alongside the draft. For each important sentence, retain the source, supporting location, population and limitation. Mark unresolved claims explicitly. Our research-claim checking guide covers that separate review task; the focus here is spending the allowance deliberately.
If a review produces a useful source list, save the references and notes immediately. The Deep guide describes report copying and export options as well as exporting eligible results to CSV or RIS. Check the output you actually receive; do not assume an export establishes exhaustive coverage or gives you the full text of every cited paper.
The public individual prices are USD, checked using both Monthly and Annual controls. Annual equivalents are not month-to-month offers.
| Plan | Monthly billing | Annual billing | Deep reviews per month |
|---|---|---|---|
| Free | $0 | Not applicable | Up to 3 |
| Pro | $20/month | $144/year; $12/month equivalent | 15 |
| Deep | $65/month | $540/year; $45/month equivalent | 200 |
Sources: live pricing and subscription documentation. Pro and Deep list unlimited Pro messages, while Deep reviews remain metered. These are individual subscriptions, not a shared team license or an unlimited API entitlement. Confirm discounts, taxes and the final checkout terms separately.
For one brief, stay on Free when the remaining allowance covers the scoped questions and manual source reading can finish the work. Consider Pro when an observed Pro-message or Deep-review bottleneck blocks several necessary analyses within the current period. An upgrade buys access; it does not improve the underlying study design or remove your responsibility to check the conclusion.
The annual Pro price saves money against twelve $20 monthly payments, but only if the longer commitment fits your expected use. One urgent brief is not automatically a reason to commit for a year. Check employer or library access before purchasing a duplicate subscription.
Open the Consensus card, inspect Settings > Subscription, and write down the two remaining advanced-analysis balances and their reset date. Define the brief before running a Pro or Deep request. Recheck the counter after the first real action, then choose whether the free allowance, a later reset or a paid plan best fits the deadline.
If the question instead needs current web context alongside academic evidence, our Perplexity versus Consensus comparison explains that broader choice. If the obstacle is insufficient relevant evidence, more credits alone will not solve it: narrow the claim, search another appropriate source or leave the conclusion unresolved.