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## Nova-3 Multilingual Model Update

#### 🌍 Nova-3 Multilingual Improvements

We’ve released an updated **Nova-3 multilingual model**, delivering **accuracy improvements across supported languages**, with the largest gains in **code-switching scenarios**.

This update focuses on improving real-world multilingual speech recognition, especially for inputs that mix languages within a single utterance or conversation.

**Key improvements include:**

- **Lower Word Error Rate (WER)** across both batch and streaming inference for all languages supported by the multilingual model
- **Significantly improved code-switching handling**, reducing word drops when languages are mixed

These improvements help developers build more reliable, natural multilingual voice experiences without changing APIs or configuration.


Learn more about Nova-3 Multilingual on the [Models and Language Overview](https://developers.deepgram.com/docs/models-languages-overview) page.