About - LLM Benchmark Aggregator & Estimator

Welcome to the most comprehensive and up-to-date LLM benchmark comparison platform! We aggregate and predict performance data from leading AI models across a multitude of evaluation benchmarks, offering a unique insight into the rapidly evolving landscape of artificial intelligence.

📊 Multi-Benchmark Analysis

Unlike leaderboards associated with a single benchmark, we let you judge models across a wealth of criteria, from reasoning to coding.

⚡ Instant Predictions

While some leaderboards make you wait a week for results—either because they require a minimum number of online votes, or because they run evals for a few days—we use available information to predict results immediately.

🔍 Complete Coverage

Other platforms exclude models with missing scores, creating sparse charts. Our score prediction ensures all models appear on all criteria, and we're resilient to response length bias.

Data Sourcing

Each data point includes the source reference, allowing you to verify the original results. We prioritize transparency and accuracy in all our data collection efforts.

The Score Prediction Algorithm

Our sophisticated prediction system uses advanced statistical methods to estimate missing benchmark scores and provide comprehensive model comparisons:

Data Normalization - We standardize scores across different benchmarks using z-scores to ensure fair comparisons
Correlation Analysis - We identify relationships between different benchmarks to understand performance patterns
Multivariate Regression - Using known benchmark scores, we predict missing values through sophisticated regression models
Uncertainty Estimation - Each prediction includes confidence intervals to indicate reliability
Weighted Scoring - Custom metrics allow you to create weighted combinations that reflect your specific priorities

The algorithm continuously improves as we gather more data and refine our statistical models, providing increasingly accurate predictions over time.

🚀 Help Us Build the Ultimate LLM Benchmark Database!

We're on a mission to create the most comprehensive and up-to-date collection of LLM benchmark data, and we need your help!

Have benchmark results you'd like to contribute? Whether it's from official releases, academic papers, or your own testing, we'd love to include it in our database. Your contributions help make this tool more valuable for everyone in the AI community.

Join us in building the definitive resource for LLM performance comparison!

📂 Contribute on GitHub

Open Source & Community

This project is completely open source and built by the community, for the community. We believe in transparent, collaborative development of AI evaluation tools.

Feel free to explore the code, report issues, suggest improvements, or contribute your own enhancements. Together, we can build better tools for understanding and advancing AI capabilities.