Can I use STORM (Stanford) and OpenScholar together?

Yes, many teams use both tools together for different purposes. Use the Stack Builder section above to combine STORM (Stanford) and OpenScholar with other tools and save your AI toolkit.

Does STORM (Stanford) or OpenScholar have a free plan?

STORM (Stanford) is a paid tool. OpenScholar is a paid tool. Always verify current pricing directly with the vendor.

STORM (Stanford) vs OpenScholar

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Updated May 2026

STORM (Stanford)

Stanford University

Get a Wikipedia-like report on your topic with AI

0.0(0)

OPEN_SOURCE

82% data quality

OpenScholar

Allen Institute for AI

Synthesize scientific literature with an open, retrieval-augmented language model

0.0(0)

OPEN_SOURCE

83% data quality

Trust & Reliability

STORM (Stanford)

Users:10K-100K

OpenScholar

Trust data not available yet

Overall Winner: STORM (Stanford)

6.3/10 vs OpenScholar at 5.7/10

Leads in:

Support

Ease of Use

AI Comparison Summary

STORM (Stanford)

6.3

avg score

OpenScholar

5.7

avg score

STORM (Stanford) leads overall — particularly in Ease of Use and Support & Ecosystem.

Based on 6 dimensions

How scores are calculated

Overall Winner

STORM (Stanford)

6.3 / 10

STORM (Stanford)

Best For

Generating comprehensive reports for researchers

Interactive knowledge curation for academic purposes

Deep research on specific topics

Not Ideal For

Generating sensitive or critical information without human verification

Commercial use requiring high safety standards

Tasks requiring real-time, unverified factual accuracy

OpenScholar

Best For

Synthesizing scientific literature for researchers

Answering scientific questions for academics

Summarizing research papers for students

Exploring algorithms for computer scientists

Not Ideal For

General knowledge queries outside of scientific domains

Users without technical skills to deploy models locally

Real-time conversational AI for non-research tasks

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

STORM (Stanford) is best for

💬Chat & Conversation8.0🔍Research7.8📊Data & Analytics7.0

OpenScholar is best for

💬Chat & Conversation9.0📊Data & Analytics7.0🔍Research7.0

Filter by your use case:

Pros & Cons

STORM (Stanford)

Pros

Generates Wikipedia-like reports with citations
Open-source and free to use
Supports interactive knowledge curation
Backed by Stanford University research

Cons

Limited safety measures
May generate offensive content
Generated reports can make mistakes
Requires agreement to terms of service for data collection

OpenScholar

Pros

Fully open-source model, weights, and data for transparency
Retrieval-augmented for accurate scientific synthesis
Access to a vast collection of 108M+ abstracts and 12M+ full-text papers
Developed by a reputable research institution (Ai2)

Cons

Requires technical knowledge to download and utilize the full collection
No clear web application for direct interaction beyond basic queries
Focuses solely on scientific literature, not general knowledge
Limited direct human-in-the-loop features for refinement

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Output Quality5

Value for Money5

Customizability5

Support & Ecosystem5

Integration Power5

Dimension Comparison

STORM (Stanford)

6.3

/ 10

Your pick

OpenScholar

5.7

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

STORM (Stanford)

6.0▲ +3.0

OpenScholar

3.0

Output Quality

Quality and accuracy of generated results

STORM (Stanford)

7.0

OpenScholar

8.0▲ +1.0

Value for Money

Cost vs. features and output quality

STORM (Stanford)

10.0

OpenScholar

10.0

Customizability

Calculated

Ability to tailor to specific needs

STORM (Stanford)

7.0

OpenScholar

7.0

Support & Ecosystem

Documentation, community, and support quality

STORM (Stanford)

7.0▲ +2.0

OpenScholar

5.0

Integration Power

Calculated

Ability to connect with other tools and workflows

STORM (Stanford)

1.0

OpenScholar

1.0

Calculated = derived from verified integration count and API/open-source signals. AI = LLM-assessed from public website content. Methodology

Task Performance

STORM (Stanford)

Task

OpenScholar

8.0

Literature Search

8.0

7.0

Citation Management

3.0

7.0

Data Extraction

7.0

5.0

Hypothesis Generation

6.0

8.0

Paper Summarization

8.0

4.0

Methodology Guidance

5.0

7.0

Cross Reference

7.0

8.0

Knowledge Synthesis

9.0

3.0

Experiment Tracking

2.0

4.0

Peer Review Support

4.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

Which is better, STORM (Stanford) or OpenScholar?

Both are strong options. STORM (Stanford) has a rating of 0.0/5 (0 reviews), while OpenScholar has a rating of 0.0/5 (0 reviews). The best choice depends on your specific use case, budget, and workflow requirements.

Is STORM (Stanford) cheaper than OpenScholar?

STORM (Stanford) starts at free (open_source model). OpenScholar starts at free (open_source model). Use the Cost Calculator above for a detailed estimate.

What are the main differences between STORM (Stanford) and OpenScholar?

STORM (Stanford) — "Get a Wikipedia-like report on your topic with AI". OpenScholar — "Synthesize scientific literature with an open, retrieval-augmented language model". Key differences include their pricing models, platform support, integrations, and technical capabilities. See the Feature Comparison table above for a complete side-by-side breakdown.

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