Voxtral vs. Whisper: Build a Voice-Controlled Smart Home App

This post details the architectural and pretraining innovations in Mistral's Voxtral model, specifically its adapter layer for balancing audio and text embeddings and its cross-modal continuation pretraining pattern. It demonstrates how these design choices lead to lower word error rates and enable single-pass inference for multimodal tasks like voice command parsing and tool calling. The post showcases a practical implementation of Voxtral Mini in a voice-controlled smart home app deployed on Baseten Inference, highlighting the reduction in latency and complexity compared to using separate ASR and LLM models.