Can I use GPT Researcher and OpenScholar together?

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

Does GPT Researcher or OpenScholar have a free plan?

GPT Researcher is a paid tool. OpenScholar is a paid tool. Always verify current pricing directly with the vendor.

GPT Researcher vs OpenScholar

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

Updated May 2026

GPT Researcher

Tavily

Your AI mate for rapid deep research, delivering accurate and factual results at speed.

0.0(0)

OPEN_SOURCE

86% 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

GPT Researcher

Users:1M-10M

Customers (per vendor):Meta, Google, Nvidia +7

OpenScholar

Trust data not available yet

Overall Winner: GPT Researcher

7.8/10 vs OpenScholar at 5.7/10

Leads in:

Support

Customizability

Ease of Use

AI Comparison Summary

GPT Researcher

7.8

avg score

OpenScholar

5.7

avg score

GPT Researcher leads overall — particularly in Ease of Use and Support & Ecosystem and 1 more.

Based on 6 dimensions

How scores are calculated

Overall Winner

GPT Researcher

7.8 / 10

GPT Researcher

Best For

Academic research and studies

Market analysis and trend spotting

Company and people briefs

Stock analysis and business insights

Not Ideal For

Users seeking a no-code, drag-and-drop interface for AI agents

Tasks requiring real-time conversational AI or customer support interactions

Highly subjective or creative content generation without factual basis

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

GPT Researcher is best for

🔍Research8.3💬Chat & Conversation8.0📊Data & Analytics7.0

OpenScholar is best for

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

Filter by your use case:

Pros & Cons

GPT Researcher

Pros

Significantly reduces research time
Provides highly accurate and factual results with citations
Flexible integration with various LLMs and search engines
Supports research on both web and local documents
Capable of generating comprehensive, long-form reports
Open-source with a large and active community
Designed for multi-agent collaboration and integration into frameworks

Cons

Requires coding knowledge for implementation and customization
Primarily text-based output, not suitable for visual content generation
Reliance on external LLM and search API costs for extensive use
May require fine-tuning for highly specialized or niche research topics
Not a plug-and-play solution for non-technical users

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

GPT Researcher

7.8

/ 10

Clear winner

OpenScholar

5.7

/ 10

Dimension Breakdown

Ease of Use

How easy it is to get started and use daily

GPT Researcher

6.0▲ +3.0

OpenScholar

3.0

Output Quality

Quality and accuracy of generated results

GPT Researcher

8.0

OpenScholar

8.0

Value for Money

Cost vs. features and output quality

GPT Researcher

10.0

OpenScholar

10.0

Customizability

Calculated

Ability to tailor to specific needs

GPT Researcher

8.0▲ +1.0

OpenScholar

7.0

Support & Ecosystem

Documentation, community, and support quality

GPT Researcher

9.0▲ +4.0

OpenScholar

5.0

Integration Power

Calculated

Ability to connect with other tools and workflows

GPT Researcher

6.0▲ +5.0

OpenScholar

1.0

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

Task Performance

GPT Researcher

Task

OpenScholar

9.0

Literature Search

8.0

Citation Management

3.0

7.0

Data Extraction

7.0

6.0

Hypothesis Generation

6.0

8.0

Paper Summarization

8.0

5.0

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, GPT Researcher or OpenScholar?

Both are strong options. GPT Researcher 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 GPT Researcher cheaper than OpenScholar?

GPT Researcher 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 GPT Researcher and OpenScholar?

GPT Researcher — "Your AI mate for rapid deep research, delivering accurate and factual results at speed.". 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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