A/B Testing & Canary

Experiment with different models and providers to find the best combination of quality, cost, and latency for your use case.

Features

Route a percentage of traffic to a new model while keeping the rest on the current one. Gradually increase as confidence grows.

Compare quality scores, latency, and cost across models side-by-side. Make data-driven decisions about which model to use.

Test a new model with 5% of traffic before rolling it out to 100%. Automatic rollback if error rates spike.