AI research tool comparison

2026 AI research tool comparison

Scientify vs Consensus: evidence search or full project execution

Consensus answers focused questions from a peer-reviewed paper database. Scientify's scientific agent organizes web and scholarly searches, attempts full-text retrieval, and continues the evidence into hypotheses, code, and experiments.

Best fit

Evaluate Consensus first when

  • You need a fast, sourced answer from peer-reviewed papers
  • Study design, sample, and evidence direction must be visible
  • Academic filters, citation graphs, and a paper library matter
  • The job ends at evidence discovery and initial synthesis

Evaluate Scientify first when

  • Search strategies must keep adapting around an open research goal
  • The agent should attempt full-text retrieval and preserve an inspectable source ledger
  • Evidence must become data, code, experiments, or simulation
  • The task must continue after a laptop closes

Scientify

A dedicated scientific agent for long-horizon exploration

Scientify's scientific agent organizes search strategies around a research goal, attempts to retrieve full-text PDFs, forms hypotheses, writes code, and runs experiments. It advances the next iteration from intermediate results until the project produces research progress or a result. The core agent is open source with 2k+ Stars on Github. Its paper was selected for ICML 2026.

Literature research
Organize search strategies, attempt full-text PDF retrieval, and preserve sources and evidence
Experiments
Write code, run commands, analyze data, and produce inspectable figures and results
Cloud execution
Keep tasks running after the laptop closes and reopen the same workspace from a phone
Open evidence
The core agent is open source with 2k+ Stars on Github, and its paper was selected for ICML 2026

Research lifecycle

Consensus answers evidence questions quickly; Scientify advances a complete research goal

Consensus provides evidence answers from a dedicated paper database. Scientify keeps sources, reasoning, files, code, and experiments around one goal and lets the agent continue from results.

01

Question formation and evidence location

Consensus

Research Agent plans searches and chains citation traversal, DOI lookup, author search, and similar-paper tools.

Scientify

The agent decomposes the project, adjusts web and scholarly search strategies, and attempts to download full-text PDFs.

Current finding

Choose Consensus for a fixed evidence question. Choose Scientify when retrieval must broaden and continue.

02

Study quality and direction of evidence

Consensus

Study Snapshot, academic filters, and Consensus Meter expose design and evidence direction; Consensus also states that its database is not exhaustive.

Scientify

The agent preserves original papers, source links, evidence tables, and comparison matrices so users can inspect the files.

Current finding

Consensus provides standardized evidence summaries. Scientify provides inspectable research materials that remain executable.

03

From answer to hypothesis

Consensus

Consensus turns a question into a paper map, an evidence-oriented answer, and directions for further reading.

Scientify

The agent turns an evidence gap into a testable hypothesis, metrics, and an executable plan.

Current finding

Scientify covers a longer workflow when the decision is what to experiment on next.

04

Code and experiments

Consensus

The public materials reviewed do not make arbitrary project code, scientific software, or experiment execution core Consensus capabilities.

Scientify

The workspace provides a terminal and file system to prepare data, run code, and retain outputs.

Current finding

Consensus ends at evidence synthesis. Scientify continues until it produces and checks experiment results.

05

History, projects, and reproducibility

Consensus

Search history, Library, Collections, citation tools, and exports preserve the evidence-discovery trail.

Scientify

The cloud computer preserves the entire project and runtime state for repeated experiments.

Current finding

Consensus saves the evidence-search history. Scientify saves a complete research project that can run again.

Pricing and usage

Consensus Pricing and usage

These products use subscriptions, seats, credits, workflow quotas, or product bundles. The table records the main public individual tiers and the limits that affect research work.

Scientify

Executable cloud research agent

Free access

New users get a free cloud computer and $5 in model credit

Main paid plans

Starter $19/month with $60 model allowance; Researcher $29 with $90; Professional $99 with $350.

Billing model

Model allowance is deducted at provider API list prices.

Usage and limits

Allowance expires after one month and does not roll over. Plans are purchased manually and do not auto-renew.

Consensus

Peer-reviewed evidence search and answer engine

Free access

$0 with unlimited paper searches, 3 Deep Reviews per month, and limited Pro messages and Study Snapshots

Main paid plans

Pro $20/month or $144/year; Deep $65/month or $540/year; Teams use custom pricing.

Billing model

Subscription pricing with lower annual rates. Deep Review volume is the main usage difference.

Usage and limits

Pro includes 15 Deep Reviews per month; Deep includes 200. Pro messages and Study Snapshots are unlimited on paid individual tiers.

Comparison boundaries

  • Consensus expanded rapidly in 2026 with Research Agent, Library, Citation Graph, and connectors, so it should no longer be described as an old-style Q&A search box.
  • Consensus's dedicated peer-reviewed paper database, Study Snapshot, and Consensus Meter fit fast evidence assessment.
  • Scientify uses a broader retrieval process and preserves full text, code, and experiment results as workspace files.

Public sources

Scientify

Choose Scientify when evidence retrieval must continue into new research results

The scientific agent begins with a research goal, organizes evidence, forms hypotheses, prepares data, writes code, and runs experiments. The full process stays on one isolated cloud computer.

Start with a research goal