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LLM Stats

LLM Stats

LLM Stats is a model benchmarking platform that publishes independent AI leaderboards.

Operating headquarters
New York, NY, US🇺🇸
Accelerator
Y Combinator logoY CombinatorS25
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LLM Stats - Library

llm-stats.com·Crawled Oct 1, 2026·

Topics

Publication type

Content origin
Row density

Blog

45 pages
  1. A Failure-Focused Evaluation of Frontier Models/blog/research/a-failure-focused-evaluation-of-frontier-models

    A rigorous analysis of LLM failure patterns across six major benchmarks, revealing where current models systematically break down.

  2. A Thorough Analysis of LLM Biases/blog/research/llm-biases

    In this post, we'll look at biases from a quantitative perspective across a variety of dimensions and models.

  3. An Introduction to Applied LLMs/blog/research/introduction-to-llms

    An introduction to applied LLMs, including a discussion of the current state of the field and some of the most important applications.

  4. Analyzing LLM Contamination in the Wild/blog/research/analyzing-llm-contamination

    Some LLMs are scoring suspiciously high on benchmarks. A data-driven analysis of which models likely saw test data during training and how to spot it.

Comparison

1 page
  1. Claude Opus 4.6 vs GPT-5.3 Codex: The Definitive Frontier Battle/blog/research/claude-opus-4-6-vs-gpt-5-3-codex

    In-depth comparison of Claude Opus 4.6 and GPT-5.3 Codex across benchmarks, pricing, context windows, agentic capabilities, and real-world performance. Discover which frontier AI model best fits your needs.

About

1 page
  1. LLM Leaderboard/about-us

    Two people building the infrastructure to measure AI progress. The world's largest benchmark collection, trusted by frontier labs and Fortune 500 teams.

Homepage

1 page
  1. Homepage/

    The AI Leaderboard — independent rankings of GPT, Claude, Gemini, Llama, DeepSeek and 300+ AI models by intelligence, speed and price. Composite LLM Stats Score updated continuously from public benchmarks and live API metrics.