Google: Gemini 3.8 Flash TTSWork with me

Google: Gemini 3.8 Flash TTS

byGoogle

Gemini 3.8 Flash TTS is a text to speech model from Google released on Sep 23, 2026. It reads text and writes audio.

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It costs $0.50 per million input tokens and $9 per million output tokens.

Modalities
In / out price
$0.50 / $9 per 1M
Context
n/a
Max output
n/a
Released
Sep 23, 2026
Knowledge cutoff
n/a
  • Tool calling
  • Structured output
  • Reasoning
  • Prompt caching
  • Open weights
  • Free to use

Gemini 3.8 Flash TTS pricing

USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.

Input$0.50 / 1M tokens
Output$9 / 1M tokens

What Gemini 3.8 Flash TTS costs per month

Pick a workload close to yours or type your own volumes.

Gemini 3.8 Flash TTS per month
$132
Without caching
$132
Per request
$0.0044

Alternatives to Gemini 3.8 Flash TTS

Models that take the same inputs, closest in price, cheaper ones first.

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  • Turns text into spoken audio.

    by googleSep 23, 2026$0.50/M input tokens$6/M output tokens

  • Reads text. Reasoning.

    by googleSep 19, 2026$0.05/M input tokens$0.15/M output tokens

  • Reads text and images. Tool calling, reasoning.

    by googleSep 19, 2026$0.1056/M input tokens$0.3344/M output tokens

  • Reads text. Tool calling.

    by googleSep 17, 2026$0.10/M input tokens$0.30/M output tokens

All Google models

Gemini 3.8 Flash TTS questions

How much does the Gemini 3.8 Flash TTS API cost?

$0.50 per million input tokens and $9 per million output tokens. The estimator on this page turns that into a monthly bill for your own workload.

Is Gemini 3.8 Flash TTS open source?

No. Google serves it through an API only, so you cannot download the weights or host it yourself.

When was Gemini 3.8 Flash TTS released?

Sep 23, 2026.

Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.

Building on Gemini 3.8 Flash TTS?

I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.

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