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Cohere's open-weight ASR model hits 5.4% word error rate — low enough to replace speech APIs in production pipelines

March 30, 2026•2 min read•

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Cohere's open-weight ASR model hits 5.4% word error rate — low enough to replace speech APIs in production pipelines

Level:Intermediate

For:ML Engineers, Data Scientists, AI Product Managers

✦TL;DR

Cohere's new open-weight Automatic Speech Recognition (ASR) model, Transcribe, has achieved a word error rate of 5.4%, making it a viable replacement for closed speech APIs in production pipelines. This breakthrough offers enterprises a more secure and deployable solution for building voice-enabled workflows, mitigating data residency risks associated with traditional closed APIs.

⚡ Key Takeaways

Cohere's Transcribe model achieves a word error rate of 5.4%, comparable to closed speech APIs.
The open-weight model provides a more secure and deployable solution for production-grade transcription.
Transcribe is built to compete on key differentiators, including accuracy, deployability, and data residency.

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Cohere's open-weight ASR model hits 5.4% word error rate — low enough to replace speech APIs in production pipelines

⚡ Key Takeaways

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