
Prompt-to-Leaderboard: Finding the Right AI Model for Any Task
Discover how the innovative Prompt-to-Leaderboard tool helps you navigate the complex world of AI models and choose the best option for each specific task.
By Joshua Kaufmann & AI
•With so many AI models available today—Claude, ChatGPT, Gemini, Grok, DeepSeek, and more—how do you know which one to use for a specific task? Should you choose a powerful reasoning model like DeepSeek R1 or OpenAI’s o1 and o3-mini for complex analysis? Or would a faster model like Gemini Flash be better for quick, straightforward responses? Should you use Claude for creative writing? Is o1 or R1 better for math explanations? What about code generation or data analysis? These questions become increasingly relevant as we try to leverage AI tools effectively in our work and learning.
Enter Prompt-to-Leaderboard (P2L), a revolutionary tool that takes the guesswork out of choosing the right AI model. Let’s explore how this tool works and how you can leverage it in your classroom.
What is Prompt-to-Leaderboard?
Prompt-to-Leaderboard is a new tool from LMS Arena that predicts which AI model will perform best for your specific prompt. Instead of manually testing multiple AI models, you can simply enter your question or task, and P2L will generate a customized leaderboard showing which models are most likely to give you the best results.
As the creators explain in their research paper, “P2L dynamically constructs LLM leaderboards tailored to specific user prompts” (Tunuguntla et al., 2024). This means the tool doesn’t just rely on general rankings—it analyzes your specific prompt to predict which model will handle it most effectively.
How Does It Work?
At a technical level, P2L uses something called the Bradley-Terry coefficient to predict how humans would rank different AI responses. In simpler terms, it takes your prompt, analyzes what kind of task you’re trying to accomplish, and predicts which AI model humans would prefer for that task based on extensive prior testing.
The tool works by:
- Analyzing your specific prompt
- Predicting how humans would rate different AI models’ responses to that prompt
- Creating a customized leaderboard ranking the models
- Optionally routing your prompt directly to the top-performing model
This approach is particularly powerful because it recognizes that no single AI model is best at everything. While one model might excel at creative writing, another might be better at explaining complex concepts, and a third might be the go-to for coding tasks.
Practical Applications
1. Content Creation Across Different Domains
Different types of content require different AI capabilities. For example:
- Creative Writing: Finding models that excel at storytelling or poetry
- Technical Explanations: Identifying models that provide clear step-by-step explanations
- Programming: Locating models that generate accurate, well-commented code
- Research Summaries: Discovering models that provide balanced perspectives on complex topics
Using P2L, you can quickly determine which model will best serve your specific content needs without extensive testing. For instance, you might discover that DeepSeek R1 excels at research-heavy tasks, while OpenAI’s o1 provides the most nuanced reasoning for complex philosophical questions.
2. Communication and Audience Adaptation
Creating content for different audiences can be challenging. P2L can help by directing you to:
- Models that excel at simplifying complex concepts for general audiences
- Models that provide sophisticated analysis for specialists
- Models that generate content with appropriate tone and language level
For example, you might enter prompts like “Explain quantum computing to a teenager” or “Create technical documentation about API integration for developers,” and P2L will point you to the most capable model for each task. You might find that Claude excels at educational explanations, while Gemini Flash is sufficient for quick, straightforward summaries.
3. Task-Specific Capabilities
Different models have different strengths when it comes to specific tasks:
- Some excel at creating structured data like tables and lists
- Others are better at formulating thought-provoking questions
- Some generate more reliable analytical frameworks
With P2L, you can identify which model will handle your specific task most effectively. For complex reasoning tasks, you might be directed to OpenAI’s o3-mini, while simpler formatting tasks might work perfectly with faster, more efficient models.
4. Professional Applications
In professional settings, P2L can help identify which models are best for:
- Drafting communications to different stakeholders
- Creating documentation and reports
- Generating meeting agendas and summaries
- Analyzing and presenting data
How to Use Prompt-to-Leaderboard
Using P2L is straightforward:
- Visit https://lmsarena.ai/?p2l
- Enter your prompt or question in the input field
- Click “Send” to generate a customized leaderboard
- Review the rankings to see which model is predicted to perform best
- Use the top-ranked model for your task
You can also explore domain-specific leaderboards through the P2L Explorer, which lets you see which models excel in categories like mathematics, creative writing, or coding.
Real-World Examples
Let’s look at some practical examples and how P2L might help:
Example 1: Educational Content
Prompt: “Create a 45-minute lesson plan on the water cycle for 5th graders including differentiation strategies.”
P2L might indicate that Claude performs best for this type of detailed, structured educational content that requires careful consideration of accessibility and different learning styles.
Example 2: Programming Projects
Prompt: “Design a Python project to create a simple game that teaches probability concepts.”
For this coding-focused task, P2L might suggest using Grok or OpenAI’s o3-mini, which tend to excel at generating accurate, well-structured code examples with appropriate comments and explanations.
Example 3: Balanced Analysis
Prompt: “Create a balanced analysis of different perspectives on the Industrial Revolution.”
Here, P2L might recommend models like DeepSeek R1 or OpenAI’s o1 that have demonstrated strength in providing nuanced historical analysis without significant bias, considering multiple viewpoints and historical contexts. For quicker, less nuanced analysis, it might recommend a faster model like Gemini Flash.
Saving Time and Resources
One of the most significant benefits of P2L is efficiency. According to Tunuguntla et al. (2024), the tool “manages to always keep the cost low while having performance always 20% above the best model.” This means you’re not just getting better results—you’re potentially saving on subscription costs by using the most efficient model for each task.
For organizations with limited AI budgets, this targeted approach ensures you’re making the most of your resources by using the right tool for each job. This is particularly valuable in educational settings where resources may be constrained but the need for effective AI tools is growing.
Looking Forward
As AI continues to evolve, tools like Prompt-to-Leaderboard become increasingly valuable. Rather than sticking with one AI model for all tasks or spending hours testing different options, P2L offers a data-driven approach to choosing the right AI assistant for each challenge.
By leveraging P2L, you can focus more on your core work and less on figuring out which AI tool to use—making your technology integration more efficient and effective.
Conclusion
Prompt-to-Leaderboard represents a significant advancement in how we can approach AI tool selection. Rather than guessing or spending valuable time testing multiple models, this tool offers evidence-based recommendations tailored to your specific needs.
As you incorporate more AI tools into your workflow, consider adding P2L to your toolkit. It might just be the assistant that helps you find the perfect assistant for every task, whether you’re creating educational materials, drafting business communications, coding applications, or analyzing complex data.
Sources:
- Tunuguntla, V. A., et al. (2024). P2L: Prompt-to-Leaderboard; Prompts as Leaderboards for LLM Selection and Analysis. arXiv preprint.
- LMS Arena P2L Tool
- This Genius AI Trick Just Hacked LLM Rankings!!!
Have a Question About These Solutions?
Whether you're curious about implementation details or want to know how these approaches might work in your context, I'm happy to help.