Whisper Tiny
by OpenAI
Ultra-compact speech recognition for extreme edge deployment.
Quick Facts
- Model Size
- 39M
- Context Length
- N/A
- Release Date
- Sep 2022
- License
- MIT
- Provider
- OpenAI
- KYI Score
- 7.2/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 39M
- License
- MIT
- Pricing
- free
- Release Date
- September 21, 2022
- Category
- audio
Key Features
Pros & Cons
Pros
- ✓Extremely fast
- ✓Tiny footprint
- ✓MIT license
- ✓Easy deployment
Cons
- !Lower accuracy
- !May struggle with difficult audio
- !Limited capabilities
Ideal Use Cases
IoT devices
Mobile apps
Real-time transcription
Edge
Whisper Tiny FAQ
What is Whisper Tiny best used for?
Whisper Tiny excels at IoT devices, Mobile apps, Real-time transcription. Extremely fast, making it ideal for production applications requiring audio capabilities.
How does Whisper Tiny compare to other models?
Whisper Tiny has a KYI score of 7.2/10, with 39M parameters. It offers extremely fast and tiny footprint. Check our comparison pages for detailed benchmarks.
What are the system requirements for Whisper Tiny?
Whisper Tiny with 39M 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 Tiny free to use?
Yes, Whisper Tiny 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.