Leaderboard by lmsys.org

Evals on open LLMs Updated Feb 11, 2026

Compared with 4 other Evals on open LLMs agents Updated Feb 2026

💰 Free 🔄 Updated Feb 2026

💰 Pricing

Free

Pricing not publicly listed.

🎯 Use Cases

Comparing model performance for research purposes Selecting an LLM for deployment in applications Tracking progress in open LLM development Validating claims about model capabilities

⚖️ Pros & Cons

✅ Pros

Transparent, community-driven evaluations
Focus on open models promotes accessibility
Regular updates likely reflect current model performance

❌ Cons

Limited to open models (may exclude proprietary leaders)
Evaluation criteria may not align with all use cases
Potential bias in crowd-sourced rankings

Overview

Leaderboard by lmsys.org provides a comparative evaluation of open large language models (LLMs), ranking them based on performance metrics and user feedback. It serves as a transparent benchmark for assessing model capabilities across various tasks.

Problem It Solves

It offers an objective, centralized comparison of open LLMs, helping users identify the most suitable models for their needs without relying on fragmented or biased evaluations.

Target Audience: Developers and teams working with evals on open llms automation.

Inputs

• User configuration
• API credentials (if required)
• Task parameters

Outputs

• Automated task results
• Status reports
• Generated content or actions

Example Workflow

1 User configures the agent with required parameters
2 Agent receives input data or trigger
3 Agent processes the request using its core logic
4 Agent interacts with external services if needed
5 Results are returned to the user

Sample System Prompt


              You are Leaderboard by lmsys.org, an AI assistant. Help the user accomplish their task efficiently.

Tools & Technologies

Not publicly specified

Alternatives

See all Evals on open LLMs alternatives to Leaderboard by lmsys.org →

🔗Related AI Agents

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⚖️ Compare Leaderboard by lmsys.org

FAQs

Is this agent open-source?: Not publicly specified
Can this agent be self-hosted?: Not publicly specified
What skill level is required?: Intermediate

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