Speech-to-text comparison
Frontier comparisonGemini 3.5 Transcribe vs Whisper large-v3: Complete Comparison
Gemini 3.5 Transcribe and Whisper large-v3 are the current Google-hosted vs OpenAI-open ASR pair.
Featured · Updated today · Last verified: September 2026 · Score 96
Choose Gemini 3.5 Transcribe when
Live voice agents, captioning, and meeting or call-log transcription on Google surfaces.
Choose Whisper large-v3 when
Self-hosted or partner-API transcription and translation pipelines you can pin and evaluate.
Short verdict
Gemini 3.5 Transcribe is the hosted streaming ASR preview. Whisper large-v3 is the open transcription baseline.
Key differences
Google publishes separate live and recorded endpoints, speaker attribution, custom vocabulary, and vendor WER. Whisper ships MIT weights for transcription and translation that you operate.
Best for
Pick Gemini for Google voice-agent and caption products. Pick Whisper when you must run ASR yourself or via a pinable partner.
Reasoning fit
Build a golden audio set. Do not import AA WER as your production SLO.
Coding workflow fit
Measure partial hypotheses, endpointing, and barge-in, not only offline WER.
Multimodal fit
Neither is a general LLM. Pair with a chat model after transcription if you need summarization.
Enterprise fit
Data residency: Google preview vs your GPU VPC.
Who should not choose this?
- Do not choose Gemini expecting MIT weights.
- Do not choose Whisper expecting first-party three-speaker diarization.
- Do not use this as MAI-Transcribe vs Whisper.
Cost considerations
API minutes vs GPU hours. Include diarization add-ons for Whisper.
Limitations
September 2026 catalog verification. Preview Gemini terms can move.
Final recommendation
Use Gemini 3.5 Transcribe when you want Google's live ASR product. Keep Whisper when weights, translation, or air-gap matter.