Whisper Large v3 vs Distil-Whisper Large v3
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 RecognitionHuggingFace
Distil-Whisper Large v3
0.76B params
Speech RecognitionSpecifications Comparison
| Spec | Whisper Large v3 | Distil-Whisper Large v3 |
|---|---|---|
| Parameters | 1.55B | 0.76B |
| Architecture | whisper | whisper |
| License | MIT | MIT |
| Context Length | N/A | N/A |
| Category | Speech Recognition | Speech Recognition |
| Author | OpenAI | HuggingFace |
| HF Downloads | 5.3M | 986.2K |
| VRAM Range | 3.38 - 3.38 GB | 1.92 - 1.92 GB |
| Quantizations | 1 options | 1 options |
| Best Quality Score | 98% | 96% |
Quantization Options
Whisper Large v3
Distil-Whisper Large v3
In-depth comparison
For most users, Whisper Large v3 is the better choice due to its superior accuracy across all languages and accents. However, if you have limited VRAM or need faster processing, Distil-Whisper Large v3 is a solid alternative.
When to choose Whisper Large v3
Whisper Large v3 is the better choice when you require the highest possible accuracy in your ASR tasks, especially in multilingual and noisy environments. Its 1.55 billion parameters ensure robust performance, making it ideal for professional settings like content indexing, real-time transcription, and voice assistants where precision is critical.
When to choose Distil-Whisper Large v3
Distil-Whisper Large v3 is the better choice when you have limited VRAM or need faster processing times. With only 0.76 billion parameters, it requires just 1.9GB of VRAM, making it suitable for devices with less powerful GPUs. This model is also 6 times faster than Whisper Large v3, making it ideal for real-time applications and scenarios where quick results are necessary.
Quality
Whisper Large v3 outperforms Distil-Whisper Large v3 in terms of output quality, achieving a best quality score of 98% compared to 96%. The larger parameter count and more extensive training of Whisper Large v3 contribute to its superior accuracy, particularly in handling diverse languages and accents.
Performance & hardware fit
In terms of performance, Distil-Whisper Large v3 is significantly faster and more resource-efficient, requiring only 1.9GB of VRAM compared to Whisper Large v3's 3.4GB. This makes Distil-Whisper Large v3 a better fit for systems with limited VRAM or where faster processing is essential.
Use-case fit
| coding | Distil-Whisper Large v3 | Distil-Whisper Large v3 is faster and more resource-efficient, making it a better fit for coding environments where quick feedback is important. |
| creative writing | Whisper Large v3 | Whisper Large v3's higher accuracy ensures more reliable transcriptions, which is crucial for creative writing where precision is key. |
| RAG / retrieval | Whisper Large v3 | Whisper Large v3's superior accuracy and robustness make it a better choice for retrieval tasks, especially in multilingual contexts. |
| agent / tool use | Distil-Whisper Large v3 | Distil-Whisper Large v3's faster processing and lower VRAM requirements make it more suitable for agent and tool use, where efficiency is crucial. |
| running on consumer GPU (8-12GB) | Whisper Large v3 | Both models can run on consumer GPUs, but Whisper Large v3 provides the best accuracy, making it the preferred choice for users with sufficient VRAM. |
| long context (16K+) | Tie | Neither model is specifically designed for long context, but both can handle extended audio inputs with high accuracy. The choice depends on the specific needs for speed vs. accuracy. |
Whisper Large v3 wins for most users due to its superior accuracy and robust performance across diverse languages and environments. However, Distil-Whisper Large v3 is the clear choice for users with limited VRAM or who need faster processing times.