Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languages
Google has released Gemini 3.5 Transcribe, a speech-to-text model for real-time voice interfaces and recorded audio. It ships as two endpoints, not one. gemini-3.5-transcribe handles pre-recorded files through the Interactions API. gemini-3.5-transcribe-live handles bidirectional streaming through the Live API. Google reports average word error rates of 4.0% streaming and 2.6% non-streaming, as measured by Artificial Analysis. Time to final transcription improves 70% over Chirp 3, the previous
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Google released Gemini 3.5 Transcribe, a speech-to-text model available through two different API endpoints, one for real-time streaming audio and one for pre-recorded files. The model reports word error rates of 4.0% for streaming and 2.6% for non-streaming transcription and supports automatic language detection across more than 85 languages. The two endpoints offer different capabilities: the streaming version provides sub-second transcription but cannot identify individual speakers or provide word-level timestamps, while the pre-recorded version supports those features but with session length limits. The model is available only through Google's managed API service with no open weights option, and deployment requires choosing between the free tier, paid tier, or enterprise platform depending on an organization's needs.
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