For Developers/Models/Gemini 3.8 Flash TTS
Closed SourceGoogleReleased 2026-09

Gemini 3.8 Flash TTS

Advanced text-to-speech with natural language voice design and line-by-line performance direction

Context window

8192 tokens

Input / 1M tokens

$0.50

Output / 1M tokens

$9.00

Provider

Google

Data verified 2026-09-24

Gemini 3.8 Flash TTS is a text-to-speech model built for deep creative direction and character design. It creates entirely new voices from scratch using natural language prompts and enables granular line-by-line control over acting cues, pacing, dialect shifts, and backchanneling across 130+ languages.

Capability index

Relative estimates (0-100) to place this model against its peers, grounded in published benchmarks.

Coding
0
Reasoning
0
Math
0
Multimodal
0
Long context
0
Speed
5
Cost efficiency
5

How to access it

Available through Gemini API and Google AI Studio. Introductory pricing through December 31, 2026.

Strengths

  • Natural language voice design from scratch
  • Voice replication from 30-second audio samples
  • Fine-grained line-by-line performance control
  • 130+ language support
  • Built-in SynthID watermarking for security
  • #1 on Hume AI Voice Design Benchmark

Best for developers who...

Immersive audiobooksGame character voicesPodcast narrationInteractive mediaCustom character voice creation

When to choose it (and when not to)

Reach for Gemini 3.8 Flash TTS when...

  • When voice quality and expressiveness are critical
  • When custom character design and acting direction are needed
  • For professional creative content production

Look elsewhere if...

  • When cost efficiency is the primary concern (use Flash-Lite instead)
  • For high-volume, commodity speech generation
  • When latency is time-critical

How to use it

  • Describe voice characteristics in natural language for voice design
  • Use performance direction annotations for line-by-line control
  • Provide accent, tone, and emotional context in prompts

Quickstart

Python
from google.generativeai import GenerativeModel
model = GenerativeModel('gemini-3.8-flash-tts')
response = model.generate_speech(text='Hello world', voice_config={'voice_description': 'young female, warm tone'})

Requires google-generativeai library and API key

API model id: gemini-3.8-flash-tts

Benchmarks

BenchmarkScoreNotes
Hume AI Voice Design Benchmark#1Top ranking in voice design quality
Voice ArenaNear topNear top rankings in Japanese, Hindi, and Mexican Spanish

Source: DeepMind official announcement

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