LLM Stats is a comprehensive AI model comparison platform that provides real-time benchmarks, pricing data, and performance metrics across leading language models through an interactive dashboard.
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LLM Stats

Product Information

Updated:Oct 31, 2025

What is LLM Stats

LLM Stats is a community-driven repository and analytics platform that helps users evaluate and compare different large language models (LLMs) through detailed benchmarks, statistics, and interactive visualizations. The platform tracks official AI benchmarks and pricing data from leading organizations, providing up-to-date information on model capabilities, context windows, speed, and costs. It features an extensive leaderboard of both proprietary and open-source models, allowing users to make informed decisions about which LLM best suits their specific needs.

Key Features of LLM Stats

LLM Stats is a comprehensive platform that provides verified AI model rankings, benchmarks, and comparisons across various capabilities. It features an interactive dashboard that allows users to analyze and compare AI models based on performance metrics, pricing, context windows, and technical specifications. The platform offers daily updated benchmarks, pricing data from leading organizations, and access to a playground where users can test different AI models.
Interactive Model Comparison: Compare multiple AI models side-by-side across various benchmarks including reasoning, coding, math, and research capabilities with interactive visualizations
Real-time Benchmark Updates: Daily updated leaderboards tracking model performance across various categories with verified data from official sources
Comprehensive Price Analysis: Detailed pricing information and comparisons across different providers, including cost per token and throughput metrics
Model Testing Playground: Access to test and experiment with different AI models through a unified API interface

Use Cases of LLM Stats

Enterprise Decision Making: Help businesses evaluate and select the most suitable AI models based on their specific needs, performance requirements, and budget constraints
Research and Development: Enable researchers and developers to track AI model progress, compare capabilities, and make informed decisions for their projects
Cost Optimization: Assist organizations in optimizing their AI implementation costs by comparing pricing across different providers and models

Pros

Comprehensive and up-to-date benchmark data
Verified information from official sources
User-friendly interface with interactive visualizations

Cons

Some model information may be incomplete or unavailable
Performance metrics might vary in real-world applications

How to Use LLM Stats

Visit the Website: Go to llm-stats.com to access the LLM comparison platform
Browse AI Model Leaderboard: View the latest AI models ranked by benchmarks, pricing, and capabilities in the comprehensive leaderboard table
Use Quick Filters: Apply filters to narrow down models based on specific criteria like open source vs proprietary, context window size, or pricing
Compare Models: Select models you want to compare and analyze their performance across different benchmarks and metrics
Test Models in Playground: Use the playground feature to test any AI model for free through their unified API interface
Explore Benchmark Categories: Navigate to specific benchmark categories like Research, Reasoning, Coding, Math, Multimodal, or Long Context to find the best models for your use case
Check Provider Performance: Review API provider comparisons for metrics like price per token and throughput speed
Access Documentation: Review technical documentation and official sources linked for each model to understand specifications in detail
Track Trends: Monitor AI progress across nations, model types, and organizations through the trends section

LLM Stats FAQs

According to Iopex statistics, approximately 67% of organizations worldwide (around 201 million companies) use generative AI products that rely on LLMs for content production and language processing.

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