Telnyx now offers an Inference Usage Dashboard in the Mission Control Portal, giving you a per-model breakdown of inference consumption alongside your existing assistant usage metrics.
Running voice AI agents across multiple models means costs can escalate in ways that are hard to trace. Without per-model visibility, you cannot tell which model is driving spend, or whether one assistant configuration is disproportionately more expensive than another.
The inference dashboard closes that visibility gap. You can now attribute every inference dollar to a specific model, compare cost across configurations, and make data-driven decisions about which models to use for which workloads.
This is especially important for teams scaling from prototype to production, where switching from a premium model to a cost-efficient one for non-critical paths can reduce inference spend significantly without sacrificing quality where it matters.
A voice AI team running GPT-4o for complex calls and a smaller model for simple routing can see the cost split between them and decide whether the premium model is justified for every call type.
A platform operator tracking monthly inference spend across multiple LLM providers can now see total inference cost per model in one view instead of cross-referencing billing data.
A product manager evaluating whether to switch models can compare actual usage and cost per model side by side before committing to the change.
Learn more in the Inference documentation or get started directly in the AI Reports Dashboard.
