Model comparison
Whisper Large-v3-turbo vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
Whisper Large-v3-turbo
Not scored
value score
StarCoder2 15B
70
value score
Whisper Large-v3-turbo ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | Whisper Large-v3-turbo | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Automatic-speech-recognition | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | Whisper large-v3-turbo is OpenAI's speed-optimized multilingual speech recognition and translation model, derived from Whisper large-v3 by reducing the decoder from 32 layers to 4. It delivers faster transcription with a modest accuracy tradeoff, making it suitable for latency-sensitive ASR applications. | BigCode open coding model on Hugging Face. |