A/B test models in production
Together AI has introduced native A/B testing capabilities directly at the API endpoint level. This feature allows developers to route traffic between different model versions without modifying application-side routing logic.
Verified State Diff
Impact & Verification Analysis
AI engineers, MLOps teams, and enterprise developers managing model deployments.
It streamlines the model evaluation lifecycle by offloading infrastructure-heavy traffic management to the provider, facilitating faster iteration cycles and more accurate production-grade model comparisons.
Full Fact Overview
The new functionality enables server-side traffic splitting, allowing developers to compare model performance and user preference in real-time production environments. By moving the A/B testing logic from the application layer to the Together AI infrastructure, the platform reduces latency and complexity associated with custom load balancing or client-side routing. This integration supports comparative analysis of model outputs, latency, and cost-efficiency under live traffic conditions.