Model Optimization
Test different AI models to find the best fit for your use case. Compare performance, cost, and capabilities across multiple providers with side-by-side analysis.
Available Models
Access through Actions → Model Optimization. Test and compare different AI models to find the optimal performance for your specific use case.
GPT-4o
OpenAILatest GPT-4 model with multimodal capabilities and improved reasoning.
GPT-4o Mini
OpenAISmaller, faster version of GPT-4o with excellent cost-performance ratio.
Claude 3 Opus
AnthropicAnthropic's most capable model with superior reasoning and analysis capabilities.
Claude 3 Sonnet
AnthropicBalanced performance and speed with strong reasoning capabilities.
Test Configuration
Configure test parameters and inputs to compare model performance on your specific use case.
Model Selection
Choose which models to test and compare:
Temperature Settings
Control randomness in model responses:
Lower values give more deterministic outputs, higher values more random
System Prompt
Optional system prompt to guide model behavior:
System prompts help set context and behavior for the models
Model Comparison Features
🔄Side-by-Side Comparison
Test the same input across multiple models simultaneously and compare responses in real-time.
📊Performance Testing
Run your specific inputs through different models to find the best performance for your use case.
⚙️Parameter Optimization
Fine-tune temperature and other parameters to optimize model performance for your specific needs.
💰Cost vs Performance
Analyze the cost-effectiveness of different models to make informed decisions about deployment.
Model Testing Workflow
Select Models to Test
Choose which models you want to compare based on your requirements for performance, cost, and capabilities.
Configure Test Parameters
Set temperature, system prompts, and other parameters to optimize for your specific use case.
Run Test Inputs
Use your manual inputs or create new test cases to evaluate model performance across different scenarios.
Analyze Results
Compare performance scores, response quality, and cost-effectiveness to make informed model selection decisions.
Deploy Best Model
Select the optimal model for your application and continue with prompt optimization using your chosen model.
Model Selection Guide
Performance Requirements
Cost Considerations
Use Case Specifics
Model Testing Best Practices
Test with Representative Data
Use your actual manual inputs and real user scenarios to get accurate performance comparisons.
Consider Context Length
Test with inputs of varying lengths to understand how models handle different context sizes.
Evaluate Consistency
Run the same input multiple times to test response consistency, especially important for business applications.
Monitor Cost Over Time
Track token usage and costs during testing to project real-world expenses at scale.
Test Edge Cases
Include challenging inputs and edge cases to see how different models handle difficult scenarios.