Gemini 3.1 Flash TTS
Google's expressive, low-latency TTS model with natural-language control over tone, pace, and emotion — optimized for high-volume, cost-efficient speech generation.
Overview
What is Gemini 3.1 Flash TTS
Gemini 3.1 Flash TTS is Google's latest text-to-speech model, released in April 2026. It delivers natural, expressive speech with granular control via natural-language prompts, supporting multi-speaker dialogue, emotional tone, and precise timing — ideal for scalable, high-quality audio synthesis in applications like e-learning, podcasts, and enterprise tools.
Running it privately on Venice
On Venice, Gemini 3.1 Flash TTS runs with anonymized privacy — your prompts are never stored or profiled. This means developers and creators can generate expressive, high-volume speech without sacrificing data sovereignty or risking surveillance. You retain full control over usage, with no retention of input text or audio metadata.
Assessment
Strengths and limitations
- Highly expressive with natural-language control over tone, emotion, and pacing — no SSML required.
- Supports multi-speaker dialogue with per-speaker style attribution, ideal for narrations and interactive content.
- Priced for high-volume use with strong cost-efficiency and low latency.
- Available in 70+ languages with native-quality pronunciation and regional accents.
- Achieves top-tier quality with an Elo score of ~1,211 on the Artificial Analysis Speech Arena.
- Still in preview: not yet recommended for production-critical or long-term stable deployments.
- No voice cloning or custom voice support.
- Audio outputs include a SynthID watermark, limiting use in watermark-sensitive contexts.
- Fewer voice options (around 30) compared to competitors like ElevenLabs.
Samples
Sample outputs
Generated on Venice with our standard prompt suite — the same scripts we run through every model of this type, so you can judge it like-for-like.
“On Venice, your prompts are processed privately and never stored, profiled, or used to train anyone's model.”
“Wait — so I can run a private voice model with zero data retention, and pay only for what I use? That's genuinely useful.”
“Three… two… one… liftoff! The rocket roared into the night sky as the crowd erupted in cheers.”
Specifications
Datasheet
- Maker
- Released
- April 2026
- Modality
- Text-to-speech
- Token limits
- Input: 8,192 tokens, Output: 16,384 tokens
- Open weights
- No — proprietary
- Privacy on Venice
- Anonymized — prompts not stored
- Available on Venice since
- Apr 2026
- License
- Proprietary
API
Call it from your code
Venice exposes an OpenAI-compatible API. Point your base URL at Venice and pass the model id.
curl https://api.venice.ai/api/v1/audio/speech \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "tts-gemini-3-1-flash",
"input": "On Venice, your prompts are processed privately.",
"voice": "af_sky",
"response_format": "mp3"
}' --output speech.mp3Pricing
What it costs on Venice
Billed per character on Venice: $187.50 per 1M characters of synthesized speech.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Alternatives
How it compares
| Model | Best for | Price (Venice) | Voice quality (Elo) | Open weights | Multi-speaker |
|---|---|---|---|---|---|
| Gemini 3.1 Flash TTS | Strong balance of expressiveness, multilingual support, and cost — #2 in Speech Arena. | $187.50 / 1M chars | 1,211 | No | Yes |
| Inworld TTS-1.5 Max | Higher quality and much cheaper — a top performer in expressiveness and value. | $12.50 / 1M chars | 1,230 | No | Yes |
| ElevenLabs Turbo v2.5 | More voice variety and cloning, but less granular prompt control than Gemini. | $62.50 / 1M chars | 1,180 | No | Yes |
| Gradium TTS | Budget option with solid quality but lacks multi-speaker support. | $47.50 / 1M chars | 1,150 | No | No |
Strong balance of expressiveness, multilingual support, and cost — #2 in Speech Arena.
Use cases
What it is good for
- 01Automated podcast and audiobook narration with expressive delivery.
- 02E-learning platforms requiring natural, engaging voiceovers in multiple languages.
- 03Enterprise applications like IVR systems, customer service bots, and internal training tools.
- 04App and game developers integrating dynamic, multi-speaker dialogue.
- 05Content creators producing long-form audio from text with precise emotional control.
Prompting
Getting better results
Use natural language in the prompt to steer tone — e.g., 'say this in a surprised, upbeat tone'.
Insert [laughs], [sigh], or [pause] tags for realistic emotional and timing cues.
Specify speaker names in dialogue mode to assign lines and styles accurately.
Keep input under 8,192 characters for reliable processing.
Test different voices and emotional tags to find the best fit before scaling.
Version history
Current preview release with expressive control and multi-speaker support.
FAQ
Frequently asked questions
Gemini 3.1 Flash TTS is Google's latest text-to-speech model, launched in April 2026. It generates natural, expressive speech with fine control over tone, emotion, and pacing using natural-language prompts — ideal for scalable audio applications like podcasts, e-learning, and enterprise tools.
On Venice, Gemini 3.1 Flash TTS is priced at $187.50 per 1 million characters of synthesized speech. This makes it competitive for high-volume use, though not the cheapest option on the platform.
No. Gemini 3.1 Flash TTS is a proprietary model developed by Google. It is not open source, and access is billed per character. However, you can try limited usage for free via Google AI Studio.
Yes. Gemini 3.1 Flash TTS supports multi-speaker dialogue with per-speaker style control, allowing you to generate natural conversations with distinct voices and emotional tones assigned to each speaker.
Gemini 3.1 Flash TTS supports over 70 languages, delivering native-quality pronunciation and regional accents. This makes it a strong choice for global content creation and multilingual applications.
No. Voice cloning is not supported in Gemini 3.1 Flash TTS. It offers a set of around 30 preset voices across genders, ages, and accents, but does not allow custom voice creation or personal voice replication.
ElevenLabs offers more voices and superior voice cloning, making it better for character work and brand voices. Gemini 3.1 Flash TTS wins on granular natural-language control and cost-efficiency for high-volume, multi-speaker use — and ranks higher in objective quality benchmarks.
Yes. On Venice, Gemini 3.1 Flash TTS runs under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. This ensures private, sovereign use of Google's powerful TTS model.
Run Gemini 3.1 Flash TTS privately
No prompt logging. No data used for training.