---
title: "Cohere's Open-Source Transcribe Arabic Beats Whisper in 96% of Tests"
subtitle: "Cohere's open-source 2B Arabic ASR model tops the Open Universal Arabic ASR Leaderboard, beating Whisper v3 Large by 11 WER points with native dialect and code-switching support."
url: "https://alphasignal.ai/news/cohere-s-open-source-transcribe-arabic-beats-whisper-in-96-of-tests"
author: "AlphaSignal Newsroom"
author_url: "https://alphasignal.ai/editorial-team"
company: "Cohere"
company_url: "https://alphasignal.ai/company/cohere"
published: "2026-07-09T19:57:09.710Z"
updated: "2026-07-09T19:58:56.167Z"
type: "Model"
topics:
  - "Audio"
  - "Open Source"
subtopics:
  - "Speech To Text"
upvotes: 1146
source_url: "https://huggingface.co/CohereLabs/cohere-transcribe-arabic-07-2026"
comments: 0
truncated: true
---

# Cohere's Open-Source Transcribe Arabic Beats Whisper in 96% of Tests

> Cohere's open-source 2B Arabic ASR model tops the Open Universal Arabic ASR Leaderboard, beating Whisper v3 Large by 11 WER points with native dialect and code-switching support.

Arabic speech recognition has long been a graveyard of good intentions. The language has over 30 dialects, hundreds of millions of speakers mix Arabic and English mid-sentence, and most existing models just flatten everything into Modern Standard Arabic (MSA) -- the formal written register that many speakers rarely use in conversation. Cohere just shipped [Cohere Transcribe Arabic](https://huggingface.co/CohereLabs/cohere-transcribe-arabic-07-2026), a 2B-parameter open-source ASR model that takes direct aim at this problem, and it's already sitting at the top of the [Open Universal Arabic ASR Leaderboard](https://huggingface.co/spaces/elmresearchcenter/open%5Funiversal%5Farabic%5Fasr%5Fleaderboard).

## The gap it's closing

The model targets the specific challenges of Arabic speech: dialect variety, bilingual Arabic-English conversations, code-switching, and specialized vocabulary. These aren't edge cases -- they're the norm for Arabic speakers in professional settings. Human reviewers preferred Cohere Transcribe Arabic to Whisper in 96% of tests. That's not a marginal improvement; it's a signal that existing tools were genuinely failing Arabic speakers at scale.

## Where it lands on the benchmarks

Cohere says it outscores Whisper Large V3, the standard Cohere Transcribe model, and other systems in benchmarks. The numbers back that up. On the Open Universal Arabic ASR Leaderboard, it achieves an average WER (Word Error Rate -- the percentage of words transcribed incorrectly) of 25.87, compared to 28.32 for OmniASR-LLM-7B (a 7B model, more than 3x larger) and 36.86 for Whisper v3 Large.

| Model                       | Avg WER   | Common Voice | SADA      | Casablanca |
| --------------------------- | --------- | ------------ | --------- | ---------- |
| Cohere Transcribe Arabic    | **25.87** | **5.82**     | **37.47** | **49.71**  |
| OmniASR-LLM-7B              | 28.32     | 9.75         | 41.61     | 56.46      |
| Cohere Transcribe (03-2026) | 30.67     | 8.17         | 60.11     | 62.71      |
| Whisper v3 Large            | 36.86     | 17.83        | 55.96     | 71.81      |

The benchmark covers six test sets spanning MSA, Egyptian, Gulf, Levantine, and Maghrebi dialects, making it a genuine multi-dialect stress test rather than a single-accent evaluation. The model ranks first on four of the six composite task sets.

_Preview only. Full text requires an AlphaSignal Pro account._

## Sources

- [CohereLabs/cohere-transcribe-arabic-07-2026 · Hugging Face](https://huggingface.co/CohereLabs/cohere-transcribe-arabic-07-2026)
- [Meet Cohere Transcribe Arabic – Hugging Face Blog](https://huggingface.co/blog/CohereLabs/cohere-transcribe-arabic-07-2026-release)
- [Cohere Transcribe Arabic: Frontier Speech Recognition for Arabic Speakers](https://cohere.com/blog/transcribe-arabic)
- [Cohere Transcribe Arabic is an open-source model built for Arabic's toughest transcription problems – The Decoder](https://the-decoder.com/cohere-transcribe-arabic-is-an-open-source-model-built-for-arabics-toughest-transcription-problems/)
- [Introducing Cohere-transcribe: state-of-the-art speech recognition – Hugging Face Blog](https://huggingface.co/blog/CohereLabs/cohere-transcribe-03-2026-release)