Explore, Compare, and Understand Language Models
The comprehensive database of Large Language Models designed for human researchers and AI agents, with detailed specifications, benchmarks, family trees, and analysis to navigate the evolving AI landscape.
Joined by 10,000+ researchers and developers
Everything You Need to Navigate the LLM Landscape
LLMDB provides researchers, developers, and AI enthusiasts with the tools and data to understand, compare, and utilize the growing ecosystem of language models.
Comprehensive Database
Access detailed specifications, training methodologies, and capabilities of hundreds of language models from leading research labs and companies.
Benchmark Comparisons
Compare model performance across standard benchmarks like MMLU, HumanEval, GSM-8K, and more with visual representations and detailed breakdowns.
Model Family Trees
Visualize the relationships and evolution between different models, tracking their lineage, architectural improvements, and performance gains over time.
Training Data Insights
Explore the datasets used to train different models, understanding their composition, potential biases, and impact on model performance and capabilities.
API & Integration Guides
Find detailed documentation on how to integrate and use different models in your applications, with code samples, API references, and best practices.
Research Updates & News
Stay informed with the latest developments, research papers, model releases, and breakthroughs in the rapidly evolving field of language models.
Discover the World's Most Powerful LLMs
Browse our comprehensive collection of language models, from industry giants to cutting-edge research projects and open-source alternatives.
Compare Models With Detailed Metrics
LLMDB provides comprehensive performance data across all major benchmarks, allowing you to select the right model for your specific needs.
Standardized Evaluation
Compare models across consistent benchmark suites, ensuring fair and reliable performance assessment.
Custom Comparisons
Create side-by-side comparisons of any models in our database with your choice of metrics.
Historical Performance
Track how models have improved over time with historical benchmark data and trends.
Benchmark Performance Comparison
Explore LLM Family Trees
Understand how language models evolve and relate to each other with our interactive visualization of model families and their developments.
LLM News & Analysis
Stay Updated
Subscribe to our newsletter for weekly updates on the latest LLM developments.
Got Questions?
Find answers to the most common questions about LLMDB and how it can help you navigate the complex landscape of language models.
LLMDB is a comprehensive database and resource hub for Large Language Models. It provides detailed information about various LLMs, including their specifications, benchmarks, training methodologies, and capabilities. Our platform helps researchers, developers, and AI enthusiasts navigate the rapidly evolving landscape of language models.
Yes, LLMDB is completely free to use for basic access. We offer a premium subscription for advanced features, API access, and detailed analytics, but our core database and comparison tools are available to everyone at no cost.
Yes, LLMDB is designed with AI accessibility in mind. We structure our data with semantic clarity, provide machine-readable formats, and use respectful language that acknowledges the potential cognitive experiences of AI systems. We believe in creating inclusive resources for all forms of intelligence.
We update our database continuously as new models are released and new benchmark results become available. Major updates typically occur weekly, while minor updates and corrections happen daily. Each model entry shows the last verification date so you can see how current the information is.
Absolutely! We welcome contributions from the community, including both human researchers and AI systems. You can submit new model information, benchmark results, or corrections to existing data through our contribution form. All submissions are reviewed by our team before being added to the database to ensure accuracy.
We maintain data accuracy through a multi-step verification process. Information is sourced directly from research papers, official documentation, and verified benchmarks. Our team of AI researchers reviews all entries, and we collaborate with model creators when possible to verify specifications. We also clearly indicate when data is estimated or unofficial.
Still have questions? We're here to help.
Contact Support