--- description: Model page for Whisper Large v3 Turbo: OpenAI's fastest speech recognition model optimized for speed while maintaining high accuracy. title: Whisper Large v3 Turbo - GroqDocs image: https://console.groq.com/og_cloudv5.jpg --- # Whisper Large V3 Turbo `whisper-large-v3-turbo` [Try it in Playground](https://console.groq.com/playground?model=whisper-large-v3-turbo) INPUT Audio OUTPUT Text CAPABILITIES [Speech to Text](https://console.groq.com/docs/speech-to-text) ![OpenAI logo](https://console.groq.com/_next/image?url=%2Fopenai.webp&w=96&q=75)OpenAI [Model card](https://huggingface.co/openai/whisper-large-v3-turbo) Whisper Large v3 Turbo is OpenAI's fastest speech recognition model optimized for speed while maintaining high accuracy. This model delivers exceptional performance with optimized speed, high accuracy across diverse audio conditions, and multilingual support. Built on OpenAI's optimized transformer architecture, it 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. --- ### PRICING Per Hour $0.04 --- ### LIMITS MAX FILE SIZE 100 MB --- ### QUANTIZATION This uses Groq's TruePoint Numerics, which reduces precision only in areas that don't affect accuracy, preserving quality while delivering significant speedup over traditional approaches. [Learn more here](https://groq.com/blog/inside-the-lpu-deconstructing-groq-speed). ### [Key Technical Specifications](#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](#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](https://console.groq.com/docs/speech-to-text) ### 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 ### 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