The Comprehensive Large Language Models Directory

All LLMs (llmmodels.org) is the definitive directory and comparison platform for large language models, cataloging hundreds of LLMs from major AI research labs and companies worldwide. The platform organizes models by parameter count, making it easy to discover and compare everything from compact 1B parameter models to massive trillion-parameter systems.

Who It's For

This directory serves AI researchers, developers, enterprise decision-makers, and anyone evaluating LLMs for their projects. Whether you're selecting a model for production deployment, researching the state of the art, or simply staying current with the rapidly evolving LLM landscape, All LLMs provides a centralized resource for discovery and comparison.

Key Features & Capabilities

• Extensive Model Catalog: Browse 100+ LLMs including GPT-4 (340B), Claude 3 (137B), Llama 3.1 (405B), PaLM 2 (540B), Mistral, Gemini, and hundreds more
• Parameter-Based Sorting: Models are ranked by size, from billions to trillions of parameters, helping you quickly identify the scale of each system
• Open Source Filtering: Dedicated filter to find open-source and openly available models for unrestricted use
• Model Specifications: Each listing includes parameter count, key capabilities, training details, and use case highlights
• Research & Commercial Models: Coverage spans academic research projects, commercial APIs, and everything in between
• Regular Updates: New models are added as they're released, keeping the directory current with the latest developments

What Differentiates It

All LLMs stands out as a neutral, comprehensive aggregator that doesn't favor any particular vendor or ecosystem. Unlike company-specific documentation or fragmented blog posts, this single directory enables side-by-side comparison of models across the entire industry. The parameter-count organization provides an immediate sense of model scale and computational requirements, while the clean interface makes discovery straightforward even as the catalog continues to grow.