---
title: mistralai/Voxtral-Mini-4B-Realtime-Arabic
url: https://recentmodel.com/models/mistralai/Voxtral-Mini-4B-Realtime-Arabic/
status: main board
published: 2026-10-08T11:36:06Z
updated: 2026-10-08T11:36:06Z
source: https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-Arabic
---

# mistralai/Voxtral-Mini-4B-Realtime-Arabic

Voxtral Mini 4B Realtime Arabic is a streaming speech-to-text model for Arabic dialects and Modern Standard Arabic. Dense, 4.4B params. Context: 128K tokens (config). Vendor-reported: "It outperforms several open-source and proprietary offline models and comes within 0.91 percentage points of Voxtral Transcribe Arabic’s 7.91% CER."

- Vendor-reported: It outperforms several open-source and proprietary offline models and comes within 0.91 percentage points of Voxtral Transcribe Arabic’s 7.91% CER.

- **Org:** mistralai
- **Released:** 2026-10-08
- **Status:** main board
- **License:** unknown
- **Parameters:** 4.4B
- **Architecture:** dense · VoxtralRealtimeForConditionalGeneration
- **Context:** 131,072 tokens
- **Task:** automatic-speech-recognition · audio
- **Signal:** 47 HF likes · 1824 downloads

## Runs on

real quant files; sizing calculation, not tested.

- Q4 ~4.1 GB: no listed device
- Q8 ~6.6 GB: 8GB GPU (4060 / 3070)
- FP16 ~10.8 GB: 12GB GPU (RTX 3060), 16GB GPU (5060 Ti / 4060 Ti / 4080 / 5080), 24GB GPU (3090 / 4090), 32GB GPU (5090), 48GB GPU (RTX 6000 Ada / A6000), 96GB GPU (RTX Pro 6000 Blackwell), 1× DGX Spark (128GB), 2× DGX Spark (256GB), 16GB GPU (7800 XT / 9070 XT), 24GB GPU (7900 XTX), Strix Halo 128GB unified (~96GB usable), Arc B60 24GB, Arc B70 32GB, Mac 16GB, Mac 24GB, Mac 36GB, Mac 48GB, Mac 64GB (M1 Max), Mac 96GB, Mac 128GB, Mac 192GB, Mac 256GB, Mac 512GB, CPU only, 32GB RAM (slow), CPU only, 64GB RAM (slow), CPU only, 128GB RAM (slow), CPU only, 256GB RAM (slow)

## Links

- [Hugging Face](https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-Arabic)