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Gemini 3.8 Flash TTS benchmarks, pricing and specs

Gemini 3.8 Flash TTS is a Google model released on September 22, 2026 that takes text input and produces audio. It costs $0.0135 per audio minute.

Per audio minute
$0.0135

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

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Key facts

Provider
Google
Model family
Gemini 3.8
Release date
September 22, 2026
Status
Current
Access
API only
API model id
gemini-3.8-flash-tts
Context window
Not reported
Max output
Not reported
Input
text
Output
audio
Task families
audio
Declared capabilities
text to speech

Gemini 3.8 Flash TTS pricing

It is the #2 most expensive of 5 current audio models priced per audio minute.

UnitPrice (USD)TierAppliesSource
1M input tokens$0.50standardUntil December 31, 2026
1M output tokens$9standardUntil December 31, 2026
1M input tokensNot reportedcachedCurrent
1M input tokens$1standardFrom January 1, 2027
1M output tokens$18standardFrom January 1, 2027
audio minute$0.0135standardUntil December 31, 2026
audio minute$0.027standardFrom January 1, 2027

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. Google's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

No independent benchmark has published a result for Gemini 3.8 Flash TTS yet. It is still compared below on price, context and capabilities.

Strengths, cautions and best uses

Strengths

  • Google's flagship expressive text-to-speech model, built for studio-grade voice fidelity, with custom voices and multi-speaker scene dialogue from text prompts
  • Priced per token rather than per character: $0.50 per million text input tokens and $9.00 per million audio output tokens
  • Shares the Gemini 3.8 Flash generation, so a text pipeline and its narration run on the same family

Cautions

  • 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

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

Alternatives to Gemini 3.8 Flash TTS

The closest current audiomodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare Gemini 3.8 Flash TTS with

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Other Gemini 3.8 models

Gemini 3.8 Flash TTS FAQ

How much does Gemini 3.8 Flash TTS cost?

Gemini 3.8 Flash TTS costs $0.0135 per audio minute at the standard tier. It is the #2 most expensive of 5 current audio models priced per audio minute. Source: Google, verified October 11, 2026.

Is Gemini 3.8 Flash TTS open source or API only?

Gemini 3.8 Flash TTS is available through Google's API only; its weights are not published.

What are the best alternatives to Gemini 3.8 Flash TTS?

The closest current alternatives by price and measured performance are Gemini 3.1 Flash Live Preview (63% cheaper per audio minute, $0.005 vs $0.0135), Gemini 3.5 Live Translate Preview (2.7x the price per audio minute, $0.0368 vs $0.0135), Qwen3.8-Omni-Flash (from Alibaba Qwen) and GPT-Live 1 (from OpenAI).

Sources

Cite this page

Van Data Team. "Gemini 3.8 Flash TTS Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/gemini-3-8-flash-tts

Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.

Production evaluation

Deciding whether Gemini 3.8 Flash TTS fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls