Ever found yourself wondering which LLM would work best for your specific needs? In our latest video, I walk you through TWO powerful methods to evaluate AI models like GPT, Claude, Gemini, and others using Postman!
The first method uses Collection Runner to benchmark multiple models simultaneously, comparing performance metrics like token usage, response time, and content length all at once. Perfect for data-driven developers who need comprehensive testing.
What’s your go-to method for comparing AI models? Do you prefer quantitative metrics or qualitative response evaluation?
The second approach uses Postman Flows for real-time, interactive comparisons. This visual method lets you see exactly how different models respond to the same prompt simultaneously, with an AI evaluator determining which response is best based on your custom criteria.
Both the Collection Runner and Flow examples from this tutorial are available in our public workspace! Have you tried either of these approaches before? Which metrics matter most to you when selecting an AI model?
Watch the full tutorial here to see both methods in action:
