AI Model Compass
A powerful comparison tool that helps developers and AI engineers make informed decisions when choosing between different large language models.
What is AI Model Compass?
AI Model Compass is designed for developers and AI engineers who need to evaluate multiple LLM models quickly and efficiently. Instead of manually testing each model one by one, you can input a single prompt and see how different models respond.
The tool displays side-by-side results including model outputs, accuracy percentages, input/output token counts, response latency, and costs. This allows you to make data-driven decisions about which model best suits your specific needs.
Whether you're optimizing for accuracy, cost, or a balance of both, the interactive priority slider helps you rank models based on your preferences.
Supported Providers
OpenAI
GPT-4o, GPT-4, GPT-3.5
Gemini Pro, Gemini Flash
Anthropic
Claude 3.5, Claude 3
DeepSeek
DeepSeek V3, Coder
Key Features
Multi-Model Comparison
Compare responses from multiple AI models side-by-side to find the best fit for your use case.
Accuracy Metrics
Get detailed accuracy scores to understand how well each model performs on your specific prompts.
Cost Analysis
See real-time cost breakdowns including input/output tokens to optimize your AI spending.
Latency Tracking
Monitor response times to ensure your applications meet performance requirements.
Priority Balancing
Adjust the accuracy vs. cost priority slider to rank models based on what matters most to you.
Developer Focused
Built by developers, for developers. Clean interface with all the metrics you need.
How to Use
- 1Enter your prompt
Type the prompt you want to test across different AI models.
- 2Select models to compare
Choose from available models like GPT-4o, Claude, Llama, and more.
- 3Run the comparison
Click compare and view side-by-side results with detailed metrics.
- 4Adjust priorities
Use the priority slider to balance accuracy vs. cost based on your needs.