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Google's text-to-speech model generating audio across 130+ languages with turn-level style and voice persona direction.
Overview. Gemini 3.8 Flash TTS is a dedicated text-to-speech model developed by Google that converts text prompts directly into synthetic speech. Built for high-throughput media and voice interfaces, it outputs audio across more than 130 languages. Developers reach for it to produce voice outputs with granular direction over vocal delivery and persona styling.
Key strengths. The model provides expressive speech synthesis across over 130 languages, supporting turn-level style direction, voice design personas, and voice replication. Backed by an 8,192-token input limit and a 16,384-token output ceiling, it can sustain extended spoken passages as well as rapid interactive dialogue.
When to use it. Use Gemini 3.8 Flash TTS when building voice agents, multilingual narration pipelines, or spoken alert systems requiring interactive latency. It is selected via the Smart Router for simple speech synthesis tasks that need expressive vocal control rather than reasoning or text comprehension.
Limitations. Gemini 3.8 Flash TTS functions strictly as an audio synthesis engine and does not perform text generation, reasoning, or structured tool calling. It accepts text input only, lacking support for multimodal visual context or audio understanding.
Sovereignty note. Gemini 3.8 Flash TTS is a proprietary model developed by Google in the United States and subject to US jurisdiction, including the CLOUD Act. Customer data handling and data residency follow Google API commercial terms.
| Inference Provider | Sovereignty | Runs in | Price | Status | Pin |
|---|---|---|---|---|---|
| L0 | €0.44 per 1M input tokens€7.92 per 1M output tokens | Active |
8 use cases classified by the curator. The note says why.
Purpose-built Flash TTS variant engineered specifically for high-throughput, low-latency text-to-speech audio synthesis.
Low-latency streaming speech generation makes it an optimal output synthesis component for interactive voice agents.
Dedicated audio synthesis model with no training or capability for software engineering or code generation.
Designed strictly as a speech synthesis service rather than an interactive textual dialogue manager for support flows.
Constrained 8,192 token context window and audio-synthesis focus make it unsuitable for document retrieval and analytical Q&A.
Specialized speech output endpoint lacking the function-calling and agentic reasoning scaffolding needed for tool orchestration.
Specialized text-to-speech architecture designed for audio generation, not automated speech recognition or transcription.
Built primarily for standard text-to-speech using preconfigured system voices rather than zero-shot arbitrary voice cloning.
Sourced numbers, not our own evaluations. Percentiles are against the speech models on Stav.
No benchmark source yet
curl https://api.stav.ai/v1/audio/speech \
-H "Authorization: Bearer $STAV_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "google/gemini-3.8-flash-tts", "input": "Hei, verden!", "voice": "alloy"}' \
--output speech.mp3→ X-Stav-Request-Id · X-Stav-Model · X-Stav-Provider → X-Stav-Sovereignty-Level — the rung the request was served at