Research Free

OpenScholar

Open research model for synthesizing scientific literature with citations

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PricingFree
Free planYes
Free trialYes
APIUnknown
Open sourceYes
DeploymentHybrid
Last verifiedJuly 30, 2026
Overview

Tool overview

OpenScholar is listed under Research AI tools.

Summary

What is OpenScholar?

OpenScholar is an open retrieval-augmented language model from Ai2 and the University of Washington. It searches scientific literature, reranks evidence, and generates source-grounded answers with citations. The public code, model checkpoints, data, and evaluation resources are available for research use.

Best fit

Best for

Researchers building or using open scholarly synthesis systems

Audience

Who is it for?

Scientific researchersAcademic librariansMachine-learning researchersResearch engineering teams
Recommendation

Decision note

Confirm repository license, model and dataset terms, compute requirements, external API dependencies, corpus coverage, reproducibility needs, and citation-verification procedures.

Capabilities

Key features

Retrieval-augmented scientific question answering

Answers grounded in cited papers

Open model checkpoints and source code

Retriever and reranker components

Research training and evaluation resources

Local inference and research deployment

Workflows

Use cases

Synthesizing scientific literature

Exploring evidence around a question

Testing open scholarly RAG systems

Building research prototypes

Strengths

Pros

  • Open source under Apache 2.0
  • Publishes models, code, and data
  • Designed around citation grounding
Considerations

Cons

  • Research demo is not a complete database search
  • Local retrieval can require substantial compute
  • Citations and interpretations still need verification
Considerations

Limitations

OpenScholar can omit relevant studies, misread methods, or cite evidence that does not fully support a conclusion. Researchers must verify every source, date, quotation, statistical claim, and domain interpretation.

Cost

Pricing details

Pricing modelFree
Free planYes
Free trialYes
Pricing context

Billing options

Free open-source research use

Pricing context

Pricing note

OpenScholar is released as a free and open research system. No commercial subscription or paid hosted plan was confirmed for the Ai2 demo. Running the full retrieval stack locally can require substantial infrastructure.

View official pricing
Compatibility

Supported languages

  • English
Connectivity

Integrations

Semantic Scholar API

Hugging Face

You.com API

Specs

Technical details

PlatformsWeb
Multilingual supportUnknown
Login requiredYes
Open sourceYes
LicenseApache-2.0
DeploymentHybrid
CompanyAllen Institute for AI and University of Washington
Launch year2024
Models / versionsLlama-3.1_OpenScholar-8B OpenScholar Retriever OpenScholar Reranker
Editions / plansPublic demo Open-source local deployment
Data confidenceHigh
Last verifiedJuly 30, 2026
Documentation → Source code → Data source →
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Answers

Frequently asked questions

OpenScholar is an open retrieval-augmented language model from Ai2 and the University of Washington. It searches scientific literature, reranks evidence, and generates source-grounded answers with citations. The public code, model checkpoints, data, and evaluation resources are available for research use.
Researchers building or using open scholarly synthesis systems
The listed pricing model for OpenScholar is Free. Pricing can change, so users should verify the latest plan details on the official website.
Yes. The current profile indicates that a free trial is available.
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