Gemini 3.8 Flash TTS
Gemini 3.8 Flash TTS from Google turns text into expressive, natural speech. Direct the delivery with plain-language style instructions kept separate from the transcript, and drop inline vocal events such as `<laugh>` or `<sigh>` into the text for moments of performance. It offers 30 prebuilt voices and handles two-speaker dialogue, which makes it a strong fit for game dialogue, trailer voiceover, and narration. Output is WAV audio.
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Gemini 3.8 Flash TTS from Google turns text into expressive, natural speech. Direct the delivery with plain-language style instructions kept separate from the transcript, and drop inline vocal events such as `<laugh>` or `<sigh>` into the text for moments of performance. It offers 30 prebuilt voices and handles two-speaker dialogue, which makes it a strong fit for game dialogue, trailer voiceover, and narration. Output is WAV audio.
Connect Claude, Cursor, VS Code, or Codex to Layer’s MCP server and Gemini 3.8 Flash TTS becomes a tool your agent can reach for — it picks the parameters, runs the generation, and shows you the result in the conversation.
https://mcp.app.layer.ai/mcpAsk your agent
“Use Gemini 3.8 Flash TTS for a heavy stone door grinding open in a dungeon.”
execute_forge({
"base_model_id": "gemini-3.8-flash-tts",
"prompt": "A heavy stone door grinding open in a dungeon",
"batch_size": 1
})Authenticate with a personal access token, post the model’s own form, and poll the inference until it completes. Every field below is accepted by this endpoint.
# Start the generation — returns an inference id straight away.
curl -X POST https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/base-models/gemini-3.8-flash-tts/inferences \
-H "Authorization: Bearer $LAYER_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"prompt": "A heavy stone door grinding open in a dungeon"
}'
# Poll until status is "complete" — the response then carries the asset URLs.
curl https://api.app.layer.ai/api/v2/workspaces/$WORKSPACE_ID/inferences/$INFERENCE_ID \
-H "Authorization: Bearer $LAYER_TOKEN"- prompt stringrequired
- style_instructions string
- prompt_language string
Why use Gemini 3.8 Flash TTS for audio?
Natural voice generation
Gemini 3.8 Flash TTS produces expressive, high-quality audio suitable for character dialogue, narration, and voiceover work.
Flexible content types
Supports a range of use cases from in-game dialogue and cinematics to marketing narration and social media content.
Fast iteration
Generate and refine audio content quickly, enabling rapid prototyping of character voices and sound design.
Character voiceover and dialogue production
Generate expressive character voices for in-game dialogue, cutscenes, and interactive narratives. Iterate on tone and delivery rapidly.
Marketing narration and promotional audio
Create professional voiceovers for trailers, app store videos, and social media content without booking voice talent.
Sound design exploration and prototyping
Quickly prototype sound effects, ambient audio, and musical elements to test creative directions early in production.
FAQ
How much does Gemini 3.8 Flash TTS cost? Is it free?+
How does Layer's pricing work?+
There are no seat fees, feature gates, or plans on Layer. Instead, our platform uses a consumption based system with Creative Units (CUs) with a flexible monthly subscription. Every generation on Layer (image, video, 3D, or audio) consumes a Creative Unit, and you only pay for what you create.
What Elo score does Gemini 3.8 Flash TTS have?+
Other audio models on Layer
Gemini 3.8 Flash Lite TTS
The lighter, lower-cost tier of Google's Gemini 3.8 text-to-speech model.
Gemini 3.1 Flash TTS
Google's most controllable TTS model with 200+ audio tags for vocal style and delivery.
Lyria 3.5
Google DeepMind's latest music model, writing full-length songs with vocals from one prompt.
Qwen 3 TTS
Qwen 3 Tts
Multilingual TTS with zero-shot voice cloning and prompt-based voice design.
ElevenLabs TTS V3
ElevenLabs
ElevenLabs' most expressive TTS model with inline audio tags for emotion and delivery.
xAI TTS V1
xAI
xAI's text-to-speech model with speech tags for expressive delivery in 20+ languages.