Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | Gemini 3.5 Transcribe | Gemini 3.8 Live |
|---|---|---|
| Price per audio minute | $0.005 | $0.005 |
| Artificial Analysis AA-WER v2 | 2.6 % WER (#4 of 6) | Not measured |
| Provider | ||
| Release date | August 26, 2026 | September 15, 2026 |
| Access | API only | API only |
| Context window | Not reported | Not reported |
| Max output | Not reported | Not reported |
| Input | audio | text, audio |
| Output | text | text, audio |
When to choose each
Gemini 3.5 Transcribe
Best for
- Batch transcription with speaker labels
- Multilingual meeting and call transcripts
Watch out for
- One hour of audio per request, or 30 minutes with diarization or timestamps
- Custom vocabulary cannot be combined with diarization or timestamps, and there is no Batch API
Gemini 3.8 Live
Best for
- Customer-facing voice agents that need natural turn-taking
Watch out for
- Audio is billed per token; the per-minute figures are Google's equivalents ($0.005 input, $0.018 output)
- No independent voice benchmark is recorded here
Gemini 3.5 Transcribe vs Gemini 3.8 Live FAQ
Which is cheaper, Gemini 3.5 Transcribe or Gemini 3.8 Live?
Both cost $0.005 per audio minute.
Related comparisons
- Gemini 3.1 Flash Live Preview vs Gemini 3.5 Transcribe
- Gemini 3.1 Flash Live Preview vs Gemini 3.8 Live
- Gemini 3.5 Live Translate Preview vs Gemini 3.5 Transcribe
- Gemini 3.5 Transcribe vs Gemini 3.8 Flash-Lite TTS
- Gemini 3.5 Transcribe vs Gemini 3.8 Flash TTS
- Gemini 3.5 Transcribe vs GPT-4o Transcribe
- Gemini 3.5 Transcribe vs GPT Transcribe
- Gemini 3.5 Transcribe vs Grok Voice Transcribe 2.0
- Gemini 3.5 Transcribe vs MAI-Transcribe-2
- Gemini 3.5 Transcribe vs Scribe v2
Production evaluation
Choosing between Gemini 3.5 Transcribe and Gemini 3.8 Live?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
