Whisper turbo vs Voxtral Mini 4B Realtime 2602
Batch multilingual workhorse against a purpose-built realtime model. Neither model wins everywhere. In the matcher's seven common setups, Whisper turbo ranks higher for long recordings on a mid-range NVIDIA GPU, subtitles with timing, meetings with speaker labels, CPU-only machines and Apple Silicon laptops with 8–16 GB, while Voxtral Mini 4B Realtime 2602 ranks higher for live captions and voice input and Japanese live transcription.
Key differences
- Whisper turbo streams only through a runtime or chunking wrapper, while Voxtral Mini 4B Realtime 2602 streams natively.
- Whisper turbo lists 100 languages in our record, Voxtral Mini 4B Realtime 2602 13; 13 are shared.
- Whisper turbo is the lighter option (memory rating 2/5 versus 1/5).
- Whisper turbo is rated better for CPU-only use (2/5 versus 1/5).
- Whisper turbo is rated better for Apple Silicon (4/5 versus 2/5).
- The main documented runtime is openai-whisper for Whisper turbo and vLLM (realtime API) for Voxtral Mini 4B Realtime 2602.
Side by side
| Fact | Whisper turbo | Voxtral Mini 4B Realtime 2602 |
|---|---|---|
| Provider · size | OpenAI · 809M | Mistral AI · 4B |
| License | MIT Permissive | Apache-2.0 Permissive |
| Languages | 99+ listed languages | 13 listed languages |
| Streaming | Via runtime | Native |
| Timestamps | Yes | Limited |
| Speaker diarization | Separate pipeline | Separate pipeline |
| CPU · Apple · NVIDIA fit | 2/5 · 4/5 · 5/5 | 1/5 · 2/5 · 5/5 |
| Live · long recordings | 3/5 · 5/5 | 5/5 · 3/5 |
| Main runtime | openai-whisper | vLLM (realtime API) |
Which ranks higher in common setups
Scores from the same deterministic matcher as the homepage, applied to all 26 reviewed models (rank out of 26). They are decision guidance, not accuracy claims.
| Setup | Whisper turbo | Voxtral Mini 4B Realtime 2602 | Higher |
|---|---|---|---|
| Long recordings on an 8–12 GB NVIDIA GPU, balanced | 79/100 · #1 | 67/100 · #21 | Whisper turbo |
| Live captions or voice input (native streaming + timestamps, speed first) | 81/100 · #7 | 86/100 · #4 | Voxtral Mini 4B Realtime 2602 |
| Subtitles with timing, accuracy first | 87/100 · #2 | 77/100 · #11 | Whisper turbo |
| Meetings with speaker labels (diarization + timestamps) | 84/100 · #3 | 67/100 · #17 | Whisper turbo |
| CPU-only machine, low memory use | 59/100 · #15 | 44/100 · #26 | Whisper turbo |
| Apple Silicon with 8–16 GB unified memory, long recordings | 69/100 · #8 | 57/100 · #24 | Whisper turbo |
| Japanese live transcription (native streaming, speed first) | 76/100 · #6 | 86/100 · #2 | Voxtral Mini 4B Realtime 2602 |
Language coverage
Both list 13 languages: Arabic, Dutch, English, French, German, Hindi, Italian, Japanese, Korean, Mandarin Chinese, Portuguese, Russian and 1 more. Only Whisper turbo lists Afrikaans, Albanian, Amharic, Armenian, Assamese, Azerbaijani, Bangla, Bashkir, Basque, Belarusian, Bosnian, Breton and 75 more. Voxtral Mini 4B Realtime 2602 lists no language that Whisper turbo lacks.
How to run each
- Whisper turbo
- openai-whisper, Hugging Face Transformers, whisper.cpp, faster-whisper.
pip install -U openai-whisperOpenAI lists about 6 GB of VRAM for turbo (809M parameters), an optimized version of large-v3. OpenAI also notes that turbo is not trained for translation tasks.
- Voxtral Mini 4B Realtime 2602
- vLLM (realtime API), Hugging Face Transformers, ExecuTorch.
uv pip install -U vllmRuns on a single GPU with at least 16 GB of memory (BF16 weights).
Runtimes and figures from the official sources checked on November 2, 2026; details on each Whisper turbo and Voxtral Mini 4B Realtime 2602 profile.
Common questions
Is Whisper turbo better than Voxtral Mini 4B Realtime 2602?
It depends on the job. Neither model wins everywhere. In the matcher's seven common setups, Whisper turbo ranks higher for long recordings on a mid-range NVIDIA GPU, subtitles with timing, meetings with speaker labels, CPU-only machines and Apple Silicon laptops with 8–16 GB, while Voxtral Mini 4B Realtime 2602 ranks higher for live captions and voice input and Japanese live transcription. Benchmark both on your own audio before deciding.
Which is lighter to run, Whisper turbo or Voxtral Mini 4B Realtime 2602?
Whisper turbo has the lighter memory rating (2/5 versus 1/5). Whisper turbo: OpenAI lists about 6 GB of VRAM for turbo (809M parameters), an optimized version of large-v3. OpenAI also notes that turbo is not trained for translation tasks. Voxtral Mini 4B Realtime 2602: Runs on a single GPU with at least 16 GB of memory (BF16 weights).
Which supports more languages?
Whisper turbo lists 100 languages against 13. Only Whisper turbo lists Afrikaans, Albanian, Amharic, Armenian, Assamese, Azerbaijani, Bangla, Bashkir and 79 more.
Go further
- Add a third model in the interactive comparison
- Benchmark both on your own audio
- All model comparisons
Generated from the reviewed model database (latest review November 3, 2026). Differences are taken from primary sources; matcher scores are Speech Model Match's editorial decision scores.