Whisper Large v3
Open SourceOpenAI · 2024-09
OpenAI's state-of-the-art speech recognition model with multilingual transcription at high accuracy.
Quick Facts
Parameters
~1.55B
Context Window
N/A
Modalities
audio, text
Open Source
Yes
License
MIT
Pricing
Free (open-source) / API from $0.006/minute
Released
2024-09
Developer
OpenAI
About
Whisper Large v3 is OpenAI's most advanced automatic speech recognition (ASR) model, capable of transcribing and translating audio in 99+ languages with near-human accuracy. Built on a large-scale weakly supervised training approach, it handles diverse audio conditions including background noise, multiple speakers, and various accents. Whisper Large v3 supports multilingual transcription, direct translation to English, language identification, and timestamp generation. Available as an open-weight model under the MIT license, it can be run locally for privacy-sensitive applications or accessed through OpenAI's API for scalable deployment.
Strengths
- +Near-human accuracy across 99+ languages
- +Open-source with permissive MIT license
- +Runs locally for privacy-sensitive use cases
- +Handles noise, multiple speakers, and various accents
Weaknesses
- −Large model requires significant compute for real-time
- −Less accurate on very specialized domain terminology
- −No speaker diarization built-in
Best For
Multilingual audio transcription at scale
Privacy-sensitive speech processing
Content accessibility and subtitling
Voice-controlled applications and assistants
Pricing
Open Source
$0
- Full model weights
- Local execution
- Unlimited use
- Full privacy
API
From $0.006/minute
- Scalable deployment
- No GPU needed
- 99+ languages
- Translation
Benchmarks
| Benchmark | Whisper Large v3 | Competitor |
|---|---|---|
| Common Voice | 15.1% WER | Google Speech: 18.2% WER |
Technical Specs
Parameters
~1.55B
Context Window
N/A
Modalities
audio, text
Languages
Open Source
Yes
License
MIT
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