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Voxtral Mini 4B Realtime Arabic

Voxtral Mini 4B Realtime Arabic is a streaming speech-to-text model fine-tuned from Voxtral-Mini-4B-Realtime-2602. It is designed for Arabic dialects and Modern Standard Arabic, including code-switching, and produces text as audio arrives.

What it does

Use it to transcribe Arabic speech in streaming applications such as live captions and voice interfaces.

Availability
Model checkpoint available on Hugging Face
Pricing model
Not established
Deployment
Use with vLLM or Transformers
Privacy
Not established
Licence
Apache 2.0 License
Capability
extraction
Modality
audiotext
Access
APISDKopen weights
Deployment
on-premises
Pricing
unknown
Target user
developerresearcher

Evidence

6 claims
  • The model supports Arabic dialects and Modern Standard Arabic transcription. [1]
    Voxtral Mini 4B Realtime Arabic is a streaming speech-to-text model for **Arabic dialects and Modern Standard Arabic**.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • It is designed to handle code-switching between languages within a conversation. [1]
    It is designed to handle challenging real-world audio and **code-switching**, where speakers alternate between languages within the same conversation.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • It processes 16 kHz audio and produces text as audio arrives. [1]
    It processes 16 kHz audio through a causal audio encoder and language decoder, producing text as audio arrives.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model can be used with vLLM or Transformers. [1]
    The model is co-developed with the Ministère de la Transition Numérique et de la Réforme Administrative (MTNRA) under the umbrella of the strategic partnership signed between Mistral and Morocco in January 2026 as a sovereign AI asset.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • At a configured transcription delay of 480 ms, it achieves an average CER of 8.82% across seven Arabic benchmarks. [1]
    At a configured transcription delay of **480 ms**, the model achieves an average Character Error Rate (CER) of **8.82%** across seven Arabic benchmarks.
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The model is licensed under the Apache 2.0 License. [1]
    This model is licensed under the [Apache 2.0 License](https://www.apache.org/licenses/LICENSE-2.0.txt).
    Hugging Face. Quoted text is outside CC BY 4.0 and keeps its original rights.

Sources

1
1
Hugging FaceOwner-controlled
https://huggingface.co/mistralai/Voxtral-Mini-4B-Realtime-Arabic Retrieved 2026-10-28 00:51 UTC
Verified

Versions

3
VersionEffectiveChangeChanged fieldsState
32026-10-12 14:02 UTCmaterial changeaccess, availability, deploymentCurrent
22026-10-11 14:55 UTCmaterial changecapability, availability, deploymentCurrent
12026-10-10 15:50 UTCpublicationNoneCurrent

In briefs

2

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.