{"version":1,"type":"story","url":"https://digestai.news/story/googles-gemini-3-5-transcribe-outperforms-openais-gpt-transcribe-in-mu","json":"https://digestai.news/story/googles-gemini-3-5-transcribe-outperforms-openais-gpt-transcribe-in-mu.json","markdown":"https://digestai.news/story/googles-gemini-3-5-transcribe-outperforms-openais-gpt-transcribe-in-mu.md","slug":"googles-gemini-3-5-transcribe-outperforms-openais-gpt-transcribe-in-mu","headline":"Google’s Gemini 3.5 Transcribe outperforms OpenAI’s GPT-Transcribe in multi-speaker accuracy","summary":"Google released **Gemini 3.5 Transcribe** on August 26, 2026, just four weeks after OpenAI’s **GPT-Transcribe**, creating a rare head-to-head comparison of two new transcription models. Both offer streaming and non-streaming versions, but Google’s model stands out for built-in **multi-speaker diarization** (up to three speakers) and **word-level timestamps**, eliminating the need for separate models. Google reports a **4.0% word error rate (WER)** for streaming and **2.6% for non-streaming**, while OpenAI’s GPT-Transcribe achieves **19.27% WER** (down from Whisper’s 40.37%) but lacks diarization natively, requiring additional calls to **gpt-4o-transcribe-diarize** for speaker attribution.\n\nOpenAI’s model costs **$0.0045 per minute** for files and **$0.017 for streaming**, while Google’s pricing isn’t detailed in the article. The comparison highlights a clear trade-off: Google’s model excels in **multi-speaker accuracy and timestamps**, while OpenAI’s remains cheaper and simpler for single-speaker tasks or live captioning, where latency is critical.","keyPoints":["Google’s Gemini 3.5 Transcribe cuts transcription time by 70% over its predecessor, Chirp 3, with built-in speaker labels and timestamps","OpenAI’s GPT-Transcribe halves Whisper’s WER (from 40.37% to 19.27%) but requires extra models for speaker diarization and timestamps","Google’s model supports **85+ languages** and integrates with other Gemini tools via function calling, while OpenAI’s focuses on cost efficiency"],"whyItMatters":"For businesses needing accurate multi-speaker transcripts, Google’s model reduces pipeline complexity by combining diarization and timestamps into one call, while OpenAI’s remains the cheaper option for simpler use cases.","category":{"slug":"models","name":"Generative AI & Models","url":"https://digestai.news/category/models"},"entities":{"companies":["Google","OpenAI"],"models":["Gemini 3.5 Transcribe","gemini-3.5-transcribe-live","gemini-3.5-transcribe","GPT-Transcribe","gpt-live-transcribe","gpt-4o-transcribe-diarize"],"people":["Shittu Olumide"]},"firstPublishedAt":"2026-09-28T14:00:06Z","updatedAt":"2026-09-28T14:00:06Z","sourceCount":1,"hasPrimarySource":false,"sources":[{"outlet":"KDnuggets","title":"Gemini 3.5 Transcribe vs OpenAI’s GPT-Transcribe","url":"https://kdnuggets.com/gemini-3-5-transcribe-vs-openais-gpt-transcribe","publishedAt":"2026-09-28T14:00:06Z","type":"press","primary":false,"lead":true}],"sourceNotes":null,"discussions":[],"thread":{"title":"Google Gemini Expands Global Language Reach","url":"https://digestai.news/thread/google-expands-ai-language-tools-to-300-languages-with-new-gemini-models","storyCount":2},"cite":{"text":"Digest AI, \"Google’s Gemini 3.5 Transcribe outperforms OpenAI’s GPT-Transcribe in multi-speaker accuracy\", 28 September 2026, https://digestai.news/story/googles-gemini-3-5-transcribe-outperforms-openais-gpt-transcribe-in-mu","publisher":"Digest AI","title":"Google’s Gemini 3.5 Transcribe outperforms OpenAI’s GPT-Transcribe in multi-speaker accuracy","datePublished":"2026-09-28T14:00:06Z","url":"https://digestai.news/story/googles-gemini-3-5-transcribe-outperforms-openais-gpt-transcribe-in-mu"},"generatedBy":"Written by Digest AI's editorial model from the linked sources; the sources are the record.","license":"Headlines, digests and key points are written by Digest AI and may be quoted with a link to the story page. Linked articles belong to their publishers. Terms: https://digestai.news/terms#reuse"}