Whisper Base
by OpenAI
Balanced speech recognition model for general use.
Quick Facts
- Model Size
- 74M
- Context Length
- N/A
- Release Date
- Sep 2022
- License
- MIT
- Provider
- OpenAI
- KYI Score
- 7.5/10
Best For
Performance Metrics
Speed
Quality
Cost Efficiency
Specifications
- Parameters
- 74M
- License
- MIT
- Pricing
- free
- Release Date
- September 21, 2022
- Category
- audio
Key Features
Pros & Cons
Pros
- ✓Good balance
- ✓Fast
- ✓MIT license
- ✓Easy to use
Cons
- !Lower accuracy than larger models
- !May struggle with accents
Ideal Use Cases
Transcription
Subtitles
Voice assistants
General use
Whisper Base FAQ
What is Whisper Base best used for?
Whisper Base excels at Transcription, Subtitles, Voice assistants. Good balance, making it ideal for production applications requiring audio capabilities.
How does Whisper Base compare to other models?
Whisper Base has a KYI score of 7.5/10, with 74M parameters. It offers good balance and fast. Check our comparison pages for detailed benchmarks.
What are the system requirements for Whisper Base?
Whisper Base with 74M 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 Base free to use?
Yes, Whisper Base 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.
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Seamless M4T
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Whisper Medium
8.5/10Balanced speech recognition model offering good accuracy with reasonable resource usage.