Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languages

Google AI released Gemini 3.5 Transcribe, a speech-to-text model with two endpoints: a streaming endpoint offering sub-second transcription without speaker diarization or word timestamps, and a batch endpoint retaining those features at half the cost. Google reports a 4.0% word error rate for streaming and 2.6% for non-streaming, with 70% faster finalization than Chirp 3, across 85+ languages.

Google has released Gemini 3.5 Transcribe, a speech-to-text model that ships as two separate endpoints rather than one. The streaming endpoint delivers sub-second transcription but drops speaker diarization and word timestamps. The batch endpoint keeps both, at half the cost. Google reports 4.0% word error rate streaming and 2.6% non-streaming, with 70% faster finalization than Chirp 3. Here is what the split means for anyone building voice agents or transcription pipelines. The post Google AI Releases Gemini 3.5 Transcribe: A Speech-to-Text Model Reporting 2.6% Average WER Across 85+ Languages https://www.marktechpost.com/2026/08/27/google-ai-releases-gemini-3-5-transcribe-a-speech-to-text-model-reporting-2-6-average-wer-across-85-languages/ appeared first on MarkTechPost https://www.marktechpost.com .