- AI Researchers & Model Developers: To benchmark their models and understand strengths/weaknesses in human judgments.
- AI Labs & Open-Source Projects: Wanting fair, transparent comparisons across many models.
- Prompt Engineers: Curious about which prompts lead to “wins” in human preference.
- Product Teams: Choosing which LLM to embed based on user perception of quality.
- AI Enthusiasts & Early Adopters: Who enjoy exploring model performance across different tasks.
- Enterprises Considering LLM Adoption: Want to pick models that perform well in realistic usage, not just in paper benchmarks.
How to Use It?
- Visit the Platform: Access the leaderboard or voting arena.
- Choose a Prompt: Use existing prompts or enter your own to compare model responses.
- View Model Responses: Two or more models respond to the same prompt.
- Cast a Vote: Decide which response you prefer.
- See Leaderboard Updates: As more votes accrue, rankings shift in real time.
- Use Additional Features: Try style control, prompt-based leaderboards, or view sampling rules.
- Human-Centered Evaluation: Feedback comes directly from people, capturing nuance beyond metrics.
- Transparent Methodology: Publishes rules for model sampling, evaluation standards, style/formatting controls.
- Prompt-to-Leaderboard Feature: Enables leaderboards customized to specific prompts.
- Community-Driven & Open Data: Large volume of votes, open feedback, and frequent feature suggestions.
- Real-Time Rankings: Leaderboards shift as new votes are cast, reflecting current preferences.
- Multi-Modal and Expanding Domains: While starting with chat, expanding into image models, different task types.
- Captures human judgments which reflect real-use quality
- Very transparent about how evaluations are done
- Allows custom prompt leaderboards for precise comparisons
- Frequent updates and active community engagement
- Useful for anyone choosing between LLMs based on how people perceive output
- Crowd-voted human preference can be noisy or subjective
- Models with more “visibility” may accrue more votes, biasing the leaderboard
- Some advanced features or enterprise evaluation services may be behind paywalls or require custom agreements
- Users need to try prompts multiple times to avoid outlier votes or misleading results
Free
Free
Custom
Custom Pricing.
- Premium features might require subscription.
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Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Yes — basic features (voting, leaderboards) are usable freely by anyone.
Yes — users can use built-in prompts or enter custom ones to compare model outputs.
Yes — rankings are updated in real time as more votes are cast.
Yes — the platform publishes sampling rules, evaluation methods, and style control information.
Yes — there are “AI Evaluations” services for labs and enterprises to get deeper, auditable feedback with SLAs.
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Genloop AI
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Editorial Note
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
If you have any suggestions or questions, email us at hello@aitoolbook.ai