Whisper Medium
by OpenAI
Balanced speech recognition model offering good accuracy with reasonable resource usage.
Quick Facts
- Model Size
- 769M
- Context Length
- N/A
- Release Date
- Sep 2022
- License
- MIT
- Provider
- OpenAI
- KYI Score
- 8.5/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 769M
- License
- MIT
- Pricing
- free
- Release Date
- September 21, 2022
- Category
- audio
Key Features
Pros & Cons
Pros
- ✓Good balance
- ✓Fast
- ✓MIT license
- ✓Multilingual
Cons
- !Lower accuracy than Large
- !May struggle with accents
Ideal Use Cases
Transcription
Subtitles
Voice assistants
Real-time
Whisper Medium FAQ
What is Whisper Medium best used for?
Whisper Medium excels at Transcription, Subtitles, Voice assistants. Good balance, making it ideal for production applications requiring audio capabilities.
How does Whisper Medium compare to other models?
Whisper Medium has a KYI score of 8.5/10, with 769M parameters. It offers good balance and fast. Check our comparison pages for detailed benchmarks.
What are the system requirements for Whisper Medium?
Whisper Medium with 769M 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 Medium free to use?
Yes, Whisper Medium 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.