About Benchmaxxed
Your comprehensive platform for AI model benchmarks and evaluations
Our Mission
Benchmaxxed was created to provide researchers, developers, and AI enthusiasts with a centralized, comprehensive platform for understanding and comparing AI model performance across diverse benchmarks. We believe that transparent, accessible benchmark data is essential for advancing AI research and helping users make informed decisions about which models best suit their needs.
What We Offer
Comprehensive Benchmark Database
Access 90+ benchmarks across 8 major categories including Knowledge, Reasoning, Coding, Mathematics, Multimodal, Agent & Tool Use, Long Context, and Safety.
Model Performance Tracking
Track performance of 50+ leading AI models from OpenAI, Anthropic, Google, Meta, and more. Compare scores, identify strengths, and understand trade-offs.
Community-Driven
Submit new benchmarks, contribute model scores, and help build the most comprehensive benchmark database in the AI community.
Always Up-to-Date
We update our database daily with the latest benchmark results and new model releases. Stay informed about the cutting edge of AI capabilities.
Why Benchmarks Matter
Objective Evaluation: Benchmarks provide standardized, reproducible tests that allow fair comparison between different AI models, eliminating subjective bias.
Progress Tracking: By measuring performance on consistent tests over time, we can quantify genuine progress in AI capabilities and identify areas needing improvement.
Use Case Matching: Different models excel at different tasks. Benchmarks help developers choose the right model for their specific application, whether it's coding assistance, mathematical reasoning, or general knowledge tasks.
Transparency: Public benchmarks hold AI companies accountable and provide researchers and users with verifiable performance data rather than relying solely on marketing claims.
Get Involved
Benchmaxxed is built for and by the AI community. Here's how you can contribute:
- •Submit New Benchmarks: Know of a benchmark we're missing? Submit it through our contribution page.
- •Update Scores: Have new model performance data? Help keep our database current.
- •Report Issues: Found incorrect data or a bug? Let us know on GitHub.
- •Spread the Word: Share Benchmaxxed with researchers, developers, and AI enthusiasts.
Contact Us
Have questions, feedback, or suggestions? We'd love to hear from you!