Cohere Transcribe vs Microsoft MAI-Transcribe-1
Which one should you pick? Here's the full breakdown.
Cohere Transcribe
Cohere's first audio model -- launched 2026-03-26 under Apache 2.0, 2B parameters, #1 on Hugging Face Open ASR Leaderboard (5.42 avg WER), 14 enterprise-critical languages. Free API with rate limits; Model Vault for production
Microsoft MAI-Transcribe-1
Microsoft's first in-house speech-recognition model -- launched 2026-04-02. #1 on FLEURS WER overall, #1 by FLEURS WER in 11 of the top 25 global languages. Beats Whisper-large-v3, Scribe v2, GPT-Transcribe, Gemini 3.1 Flash-Lite. $0.36/hour of audio on Azure Foundry
| Category | Cohere Transcribe | Microsoft MAI-Transcribe-1 |
|---|---|---|
| Ease of Use | 7.0 | 6.0 |
| Output Quality | 9.0 | 9.5 |
| Value | 9.0 | 9.0 |
| Features | 7.0 | 7.0 |
| Overall | 8.0 | 7.9 |
Pricing Comparison
| Feature | Cohere Transcribe | Microsoft MAI-Transcribe-1 |
|---|---|---|
| Free Tier | Yes | Yes |
| Starting Price | $0 | $0.36 |
Which Should You Pick?
Pick Cohere Transcribe if...
- ✓Easier to use (7 vs 6)
Enterprise teams transcribing English, European, and major APAC languages at scale who want open weights they can self-host, fine-tune, or deploy on-prem. The Apache 2.0 license removes a major procurement blocker compared to proprietary ASR, and the accuracy tier is now best-in-class for open models.
Visit Cohere TranscribePick Microsoft MAI-Transcribe-1 if...
Developers and enterprises who need best-in-class multilingual speech-to-text for high-volume use cases (meeting recording pipelines, call-center transcription, accessibility captioning at scale, multilingual audio indexing). Especially relevant for Azure shops already on Microsoft infrastructure.
Visit Microsoft MAI-Transcribe-1Our Verdict
Cohere Transcribe and Microsoft MAI-Transcribe-1 are extremely close overall. Your choice comes down to specific needs -- Cohere Transcribe is better for enterprise teams transcribing english, european, and major apac languages at scale who want open weights they can self-host, fine-tune, or deploy on-prem, while Microsoft MAI-Transcribe-1 works best for developers and enterprises who need best-in-class multilingual speech-to-text for high-volume use cases (meeting recording pipelines, call-center transcription, accessibility captioning at scale, multilingual audio indexing).