Documentation

Learn how to use our benchmarking platform, understand our methodology, and contribute to the research community.

Getting Started

Welcome to LLMBenchmark.org. Our platform provides research-grade testing for language models with scientific rigor and reproducible results.

About the Platform

Learn about our mission, team, and approach to LLM benchmarking

Methodology

Understand our scientific approach and testing framework

Benchmarks

Explore our comprehensive testing suites for evaluating language models across multiple dimensions.

RLM Benchmark

Testing MIT's Recursive Language Models for handling 100x context lengths

All Benchmarks

View all active, beta, and upcoming benchmarks

Contributing

Help us improve the platform and expand our testing capabilities. All contributions are welcome.

GitHub Repository

Star, fork, and contribute to our open-source platform

Report Issues

Found a bug or have a feature request? Let us know on GitHub

Contributing Guidelines

Learn how to contribute code, documentation, or benchmarks

API & Integration

Integrate our benchmarks into your workflows using our REST API.

API documentation is currently under development. Check back soon for:

  • •REST API endpoints for benchmark submission and result retrieval
  • •Authentication and rate limiting documentation
  • •SDK libraries for popular programming languages
  • •Webhook integration for real-time notifications

Support

Need help? We're here to assist you with any questions or issues.

Email Support

hello@llmbenchmark.org

Community Discussions

Join discussions on GitHub