Whisper Small
by OpenAI
Compact speech recognition for edge deployment and real-time applications.
Quick Facts
- Model Size
- 244M
- Context Length
- N/A
- Release Date
- Sep 2022
- License
- MIT
- Provider
- OpenAI
- KYI Score
- 7.8/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 244M
- License
- MIT
- Pricing
- free
- Release Date
- September 21, 2022
- Category
- audio
Key Features
Pros & Cons
Pros
- ✓Very fast
- ✓Low resource
- ✓MIT license
- ✓Easy deployment
Cons
- !Lower accuracy
- !May struggle with difficult audio
Ideal Use Cases
Real-time transcription
Mobile apps
Edge devices
IoT
Whisper Small FAQ
What is Whisper Small best used for?
Whisper Small excels at Real-time transcription, Mobile apps, Edge devices. Very fast, making it ideal for production applications requiring audio capabilities.
How does Whisper Small compare to other models?
Whisper Small has a KYI score of 7.8/10, with 244M parameters. It offers very fast and low resource. Check our comparison pages for detailed benchmarks.
What are the system requirements for Whisper Small?
Whisper Small with 244M requires appropriate GPU memory. Smaller quantized versions can run on consumer hardware, while full precision models need enterprise GPUs. Context length is variable.
Is Whisper Small free to use?
Yes, Whisper Small is free and licensed under MIT. You can deploy it on your own infrastructure without usage fees or API costs, giving you full control over your AI deployment.
Related Models
Whisper Large V3
9.2/10State-of-the-art speech recognition model supporting 99 languages with exceptional accuracy.
Seamless M4T
8.7/10Massively multilingual and multimodal translation model.
Whisper Medium
8.5/10Balanced speech recognition model offering good accuracy with reasonable resource usage.