whisper-large-v3-turbo
openai
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.
- Context window
- — tokens
- Input cost
- $0.00 / 1M
- Output cost
- $0.00 / 1M
- Latency (p50)
- 70 ms
Loading...
Loading...
Run side-by-side checks for pricing, context window, and latency.
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
whisper-large-v3-turbo is NaN% cheaper
whisper-large-v3-turbo is 16% faster
⚡whisper-large-v3-turbo is 11ms faster than whisper-tiny-en
madras1
Open-source Yara-50M-PTBR-QA model from madras1 — available for download and self-hosting on Hugging Face.
manuel121357
Open-source Dolphin3.0-Llama3.1-8B-q4f16_1-MLC model from manuel121357 — available for download and self-hosting on Hugging Face.
taniota
Open-source Warlock-1.7B model from taniota — available for download and self-hosting on Hugging Face.
Let our experts help you evaluate models based on your actual use case and budget. We'll provide a free analysis and actionable recommendations.
openai
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation.
openai
Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalize to many datasets and domains without the need for fine-tuning. This is the English-only version of the Whisper Tiny model which was trained on the task of speech recognition.