LM Arena

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LM Arena is a platform for evaluating and ranking large language models (LLMs). It uses crowdsourced head-to-head comparisons to create a comprehensive leaderboard.

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At a glance

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API

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Skill level

Technical

About

What is LM Arena?

LM Arena, developed by LMSYS, provides a platform for the rigorous evaluation and ranking of large language models. The core functionality revolves around head-to-head comparisons, where users interact with two anonymous LLMs simultaneously. Users provide feedback on the performance of these models, contributing to a crowdsourced dataset. This data is then utilized to generate a comprehensive leaderboard, offering insights into the capabilities of various AI models. The platform aims to assist users in identifying and selecting the most suitable LLMs for their specific applications based on real-world performance feedback.

Best used for

Evaluating and comparing large language models to identify the best performers for specific applications.

Common actions

Evaluate LLMs

Compare AI models

Find best LLMs

Contribute to AI research

Understand model performance

Open Source AIAI model comparisonLLM evaluationcrowdsourced aimodel benchmarkinglanguage model rankinglmsysAI research

Capabilities

Key features

LLM evaluation
Head-to-head comparisons
Crowdsourced feedback
Comprehensive leaderboard
Anonymous model interaction

Target Audience

AI researchersDevelopersData scientistsAI enthusiasts

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

How does LM Arena ensure fair and unbiased comparisons between models?

LM Arena employs anonymous model interaction, meaning users don't know which LLM they are interacting with. This blind testing approach minimizes bias, ensuring feedback is based purely on performance rather than brand recognition or preconceived notions about specific models.

Can I submit my own LLM for evaluation on LM Arena?

LM Arena primarily focuses on evaluating publicly available or widely recognized LLMs. While there isn't a direct public submission portal for individual models, the platform occasionally includes new models based on community interest and relevance. Contacting LMSYS directly might provide more insight into potential inclusion.

What kind of feedback do users provide during head-to-head comparisons?

Users are asked to judge which model provides a better response, or if both are equally good/bad. They can also provide qualitative comments explaining their choice, which helps enrich the crowdsourced dataset and provides deeper insights into model strengths and weaknesses.

How frequently is the LM Arena leaderboard updated?

The LM Arena leaderboard is updated regularly, often daily or every few days, as new crowdsourced feedback is continuously collected and processed. This ensures the rankings reflect the most current performance trends and user perceptions of the evaluated LLMs.

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