### Key Technical Specifications

### Key Model Details

- **Model Size**: Optimized architecture for speed
- **Speed**: 216x speed factor
- **Audio Context**: Optimized for 30-second audio segments, with a minimum of 10 seconds per segment
- **Supported Audio**: FLAC, MP3, M4A, MPEG, MPGA, OGG, WAV, or WEBM
- **Language**: 99+ languages supported
- **Usage**: [Groq Speech to Text Documentation](/docs/speech-to-text)


### Key Technical Specifications

* Model Architecture: Based on OpenAI's optimized transformer architecture, Whisper Large v3 Turbo features streamlined processing for enhanced speed while preserving the core capabilities of the Whisper family. The model incorporates efficiency improvements and optimizations that reduce computational overhead without sacrificing transcription quality, making it perfect for time-sensitive applications.
* Performance Metrics: 
  * Whisper Large v3 Turbo delivers excellent performance with optimized speed:
  * Fastest processing in the Whisper family
  * High accuracy across diverse audio conditions
  * Multilingual support: 99+ languages
  * Optimized for real-time transcription
  * Reduced latency compared to standard models

### Key Model Details

### Model Use Cases

* **Real-Time Applications**: 
  * Tailored for applications requiring immediate transcription:
  * Live streaming and broadcast captioning
  * Real-time meeting transcription and note-taking
  * Interactive voice applications and assistants
* **High-Volume Processing**: 
  * Ideal for scenarios requiring fast processing of large amounts of audio:
  * Batch processing of audio content libraries
  * Customer service call transcription at scale
  * Media and entertainment content processing
* **Cost-Effective Solutions**: 
  * Suitable for budget-conscious applications:
  * Startups and small businesses needing affordable transcription
  * Educational platforms with high usage volumes
  * Content creators requiring frequent transcription services

### Model Best Practices

* Optimize for speed: Use this model when fast transcription is the primary requirement
* Leverage cost efficiency: Take advantage of the lower pricing for high-volume applications
* Real-time processing: Ideal for applications requiring immediate speech-to-text conversion
* Balance speed and accuracy: Perfect middle ground between ultra-fast processing and high precision
* Multilingual efficiency: Fast processing across 99+ supported languages

---

## Llama 3.3 70b Versatile: Model (tsx)