Description
LLM Benchmark is a comprehensive and free LLM leaderboard that provides daily updated rankings of over 100 large language models. Built on public LLM benchmarks, it offers detailed insights into model performance across key categories such as coding, agentic work, reasoning, math, knowledge, and web design. The platform not only presents overall scores but also breaks down performance by specific task types, allowing users to identify the most suitable models for their needs.
Read More
A core feature of LLM Benchmark is its focus on cost-efficiency. It displays API prices for various models and calculates the "cost per solved task," which offers a more practical measure of expense than token price alone. This metric helps users understand the true economic impact of using a particular model, as a cheaper model that fails frequently can ultimately be more expensive due to retries. The platform highlights models that offer the cheapest working answers, providing valuable data for budget-conscious developers and businesses.
LLM Benchmark aggregates data from numerous reputable sources, including OpenRouter, Epoch AI, Artificial Analysis, Hugging Face, and Vals AI boards, among others. This multi-source approach ensures a broad and robust evaluation. Each score is linked directly to its source, promoting transparency and allowing users to verify the data. The leaderboard is updated daily, reflecting the dynamic nature of the LLM landscape and ensuring that users have access to the most current performance and pricing information.
Beyond simple rankings, LLM Benchmark offers tools for deeper analysis. Users can compare models side-by-side, retrieve detailed information about individual models (including maker, release date, prices, context window, and scores across all boards), and list categories with their associated task keywords. An API and MCP server are available, allowing agents to query the data programmatically. The data is licensed under CC BY 4.0, permitting commercial use with attribution, and the full dataset is available for download as JSON.
The platform caters to a wide audience, from developers and researchers seeking to optimize their LLM choices to businesses looking for cost-effective AI solutions. By providing a clear, data-driven comparison of LLMs, LLM Benchmark empowers users to make informed decisions based on both performance and economic considerations.
- CategoryAI Models & LLMs
- Pricing ModelFree
- DeploymentCloud
- PlatformsWeb
LLM Benchmark's Core Features
Daily Updated LLM Leaderboard
Ranking by Category: Coding, Agentic, Reasoning, Math, Knowledge, Web Design
API Price Comparison for LLMs
Cost Per Solved Task Calculation
Links to Original Benchmark Sources
Comprehensive Model Details (Maker, Release Date, Context Window)
Model Comparison Tool
API and MCP Server for Data Access
Full Dataset Available as JSON
Open Data License (CC BY 4.0)
Identification of Cheapest Working Answers
Quality Against Price Analysis
Maker Medal Table for Top Performance
Retired Model Tracking with Last Prices
Categorization by Task Keywords
How to use LLM Benchmark?
Explore Leaderboard: Navigate the overall leaderboard or filter by specific categories like coding or reasoning to see top-ranked models.
Compare Models: Use the comparison tool to view two models side-by-side across all measured benchmarks, including prices and context.
Find Cheapest Answers: Consult the "Cost per solved task" section to identify models that offer the most cost-effective working solutions.
Access API Data: Utilize the free API or MCP server to programmatically query LLM data for agents and applications.
Download Dataset: Obtain the full LLM benchmark dataset in JSON format for bulk analysis and custom integrations.
Understand Methodology: Review the "About" section to learn about the data sources, update frequency, and licensing for informed use.
LLM Benchmark's Use Cases
- LLM Selection for Coding
- Agentic Workflow Optimization
- Reasoning Task Enhancement
- Mathematical Problem Solving
- Knowledge-Based Question Answering
- Web Design Assistance
- Cost-Effective LLM Deployment
- Market Trend Analysis
- Academic Research
