Every AI model, cataloged.
LLM Reference is the comprehensive directory for AI language models. We catalog specs, pricing, benchmarks, and provider availability so developers and technical decision-makers can find the right model without digging through scattered documentation.
What We Track
Live counts from our database, updated every deploy.
1,553
From cutting-edge frontier models to specialized open-source variants
448
Grouped by architecture and lineage
129
Cloud platforms, API services, and inference endpoints
216
Labs and organizations building the models
88
Standardized evaluations for comparing model performance
Plus: pricing, context windows, parameter counts, release dates, and knowledge cutoffs.
Behind the Scenes
LLM Reference is built by Data Advantage, LLC — and we practice what we preach. Our database is researched and maintained by a team of AI agents that continuously audit model catalogs, verify specs against primary sources, and flag when data goes stale.
Every model entry is validated against official documentation, research papers, and provider APIs. When a new model launches, our research agents pick it up within days — checking HuggingFace model cards, provider pricing pages, and official announcements to ensure accuracy.
The result: a living reference that stays current in a field that moves fast.
How the Data Works
- Static seed data — rebuilt at deploy time. No stale caches, no runtime dependencies.
- No user-generated content — every entry is researched and verified by our team.
- Official sources — specs come from research papers, model cards, and API documentation.
- Direct pricing — sourced from provider pricing pages, not third-party aggregators.
Built by Data Advantage
Data Advantage, LLC helps companies navigate the AI landscape. LLM Reference is our public contribution to the developer community — the reference we wished existed when we started evaluating models for our clients.
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