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audio model comparison

Gemini 3.8 Flash TTS vs Gemini 3.8 Live

Gemini 3.8 Flash TTS and Gemini 3.8 Live are both current audio models, from Google. Gemini 3.8 Live is 63% cheaper per audio minute than Gemini 3.8 Flash TTS, $0.005 vs $0.0135.

Data verified October 12, 2026 · Dataset 2026-10-12

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Side by side

Standard-tier prices in effect today. The better value in each row is highlighted.

FactGemini 3.8 Flash TTSGemini 3.8 Live
Price per audio minute$0.0135$0.005 (better)
ProviderGoogleGoogle
Release dateSeptember 22, 2026September 15, 2026
AccessAPI onlyAPI only
Context windowNot reportedNot reported
Max outputNot reportedNot reported
Inputtexttext, audio
Outputaudiotext, audio

When to choose each

Gemini 3.8 Flash TTS

Best for

  • Narration, audiobooks and product audio where voice quality matters more than cost
  • Narration and voice output attached to an existing Gemini text pipeline
  • Audio generation budgeted before the 2027 price step

Watch out for

  • Google doubles the rates on 2027-01-01, to $1.00 input and $18 output per 1M tokens (about $0.027 per minute)
  • Audio output is billed in audio tokens, which do not convert one-for-one to text tokens, so a text-token budget does not predict this cost
  • Google's pricing page lists no context window or output cap for this model, so both are recorded as unknown
  • No independent speech-quality benchmark is recorded here
Full Gemini 3.8 Flash TTS profile

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
Full Gemini 3.8 Live profile

Gemini 3.8 Flash TTS vs Gemini 3.8 Live FAQ

Which is cheaper, Gemini 3.8 Flash TTS or Gemini 3.8 Live?

Gemini 3.8 Live is 63% cheaper per audio minute than Gemini 3.8 Flash TTS, $0.005 vs $0.0135.

Production evaluation

Choosing between Gemini 3.8 Flash TTS 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