Model Selection
Run pairwise comparisons across model configurations and build a decision log of which model won, and why.
1
Add candidate models
Configure each model you’re considering from the dashboard.
2
Run pairwise comparisons
Use Playground → Pairwise to run the same prompt against two models with an LLM-as-judge picking a winner and giving reasoning.
3
Or batch-compare on a dataset
Run a batch evaluation with multiple models against the same dataset and rules for a broader signal than a handful of prompts.
4
Check the leaderboard
Cross-reference with the dashboard’s built-in benchmark leaderboard for latency and throughput, not just quality.