AI Model Evaluations
Explore our collection of AI model evaluations across different benchmarks, tasks, and use cases. Compare performance metrics and find the right model for your specific needs.
💊 Magicpill Labs Demo Report
This is a regularly updated eval that demonstrates a vareity of features from our python SDK and showcases multiple AI models tested against each other on a growing list of problems.
🍓 R-Bench: Letter Counting Challenge
R-Bench expands on the classic strawberry problem and focuses on extra logic problems for LLMs centered around counting the letter R.
Coding Assistant Comparison
Evaluating code quality, accuracy, and security aspects of popular AI coding assistants across multiple programming languages.
Healthcare NLP Models
Benchmarking specialized healthcare models on medical literature comprehension, diagnosis assistance, and medical terminology accuracy.
Multimodal Model Analysis
Comparing performance of models that handle text, images, and audio inputs for creative content generation and accuracy.
Hallucination Detection
Measuring and comparing hallucination rates across major commercial LLMs with techniques for detection and prevention.
Enterprise AI Agents
Evaluating autonomous AI agent capabilities for business workflows including tool use, decision making, and multi-step reasoning.