Shotcraft
Voice and speech

Gemini native TTS

Speech generation built into Gemini models, driven by natural-language style instructions rather than SSML.

A speech model by Google · read 2026-08-14 · sourcing medium

Weights
Not released
API
Yes
Commercial use
Not established

It offers 30 voice options across 60+ auto-detected languages, and a multi-speaker mode for up to 2 speakers. Sessions are capped at a 32k-token context window.

Commercial use — Not established

The research notes for this model record other terms but do not state a commercial-use position, and no licence page was retrieved, so it is not established here. Check the vendor's own terms.

The licence notes recorded during research were read for a commercial-use position and did not state one. Read the licence before you rely on any of this. Nothing on this page is legal advice, and this site does not tell you a model is cleared for commercial use.

Specification

Vendor figures, read 2026-08-14Read from Google's own documentation on 2026-08-14. Vendors change these between model versions without announcing it, so check theirs before you commit a shot to a number. Sourcing for this entry is mixed. Some fields came from pages we retrieved, others could not be confirmed and are left blank. Check the vendor's current documentation

What it takes in
text
What it makes
audio
Controls
style-prompting, emotion-control, multi-speaker-dialogue
Weights
Not released
API
Yes
Pricing
Token-based. Per the Cloud TTS pricing page: Gemini 2.5 Flash TTS $0.50/1M input text tokens and $10.00/1M audio output tokens; Gemini 2.5 Pro TTS and Gemini 3.1 Flash TTS (Preview) $1.00/1M input and $20.00/1M audio output tokens. Audio output is 25 tokens per second of audio.
Released or updated
not established
Languages
60, not individually listed by the vendor

Strengths

  • Style and emotion direction via plain-language prompts
  • 60+ languages with automatic detection
  • Multi-speaker dialogue generation in one call
  • Cheap in practice: 25 audio tokens/sec means 1M output tokens is roughly 11 hours of audio

Weaknesses

  • Docs warn quality and consistency drift beyond a few minutes of output - split long transcripts
  • Multi-speaker limited to 2 speakers
  • Only 30 voices and no voice cloning
  • Several TTS model IDs are preview-tagged
  • 32k-token session context limit

Best for

Where the sources disagree

Recorded rather than resolved. Picking the tidier number would hide the fact that the vendor's own pages do not agree.

What to understand before using it

Explainers naming the mechanisms this model's own documentation mentions.

MCP servers that front Google

Servers in the media MCP directory whose own description or homepage names this vendor. Absence of a server here is not evidence that none exists: most publish no tool list at all.

See it from the vendor

Shotcraft hosts no sample output. Judging a model means watching its own showreel with your own eyes, and a clip re-hosted here would be a clip we chose.

Nearby in the directory

Chirp 3: HD voices (Google Cloud Text-to-Speech)

Google Cloud's current-generation HD voice set, with 28 voices available across 50+ languages and locales. It supports pace control from 0.25x to 2x,

Voice and speech

Azure AI Speech text-to-speech (Neural, Neural HD, MAI voices)

Microsoft's enterprise speech synthesis service, with 200+ prebuilt neural voices across 80+ locales plus tiers for HD voices, multilingual voices, mu

Voice and speech

Sonic 3.5

Cartesia's current TTS model, documented at sub-90ms first-byte latency across 42 languages. It is tuned for conversational delivery and for reading a

Voice and speech

Sources

Read on 2026-08-14. A source that has changed since then will not be reflected here until the next pass.