How to A/B Test AI Models on Your Real User Queries
A developer has outlined a method for A/B testing various AI models using real user queries, arguing that standard benchmarks are insufficient for determining a model's suitability for specific use cases. The proposed approach involves exporting user queries, utilizing the AIBridge API for unified access to multiple models, and implementing a custom scoring script to evaluate performance based on accuracy, cost, and latency. Initial tests on code generation queries indicated that deepseek-coder outperformed other models like deepseek-v4-pro in terms of cost-effectiveness and accuracy for that specific task. AI
IMPACT Enables developers to find the most cost-effective and accurate AI models for their specific applications.