Whisper Large v3 vs Whisper Large v3 Turbo
Side-by-side comparison of hardware requirements, quantization options, and specifications to help you choose the right model for your device.
OpenAI
Whisper Large v3
1.55B params
Speech RecognitionOpenAI
Whisper Large v3 Turbo
0.81B params
Speech RecognitionSpecifications Comparison
| Spec | Whisper Large v3 | Whisper Large v3 Turbo |
|---|---|---|
| Parameters | 1.55B | 0.81B |
| Architecture | whisper | whisper |
| License | MIT | MIT |
| Context Length | N/A | N/A |
| Category | Speech Recognition | Speech Recognition |
| Author | OpenAI | OpenAI |
| HF Downloads | 4.8M | 6.4M |
| VRAM Range | 3.38 - 3.38 GB | 2.01 - 2.01 GB |
| Quantizations | 1 options | 1 options |
| Best Quality Score | 98% | 95% |
Quantization Options
Whisper Large v3
Q8_0
2.9 GB3.38 GB VRAM98% quality
Whisper Large v3 Turbo
Q8_0
1.5 GB2.01 GB VRAM95% quality
Which Should You Choose?
Whisper Large v3 Turbo is more memory-efficient, starting at just 2.01GB VRAM compared to 3.38GB for Whisper Large v3. Whisper Large v3 is significantly larger at 1.55B parameters, which generally means better output quality but requires more hardware.